Trade Surveillance and Regulatory Compliance Solutions | eflow

Ben Parker

sales@eflowglobal.com (eflow) — Mon, 01 Jan 0001 00:00:00 +0000

As a Founder and CEO of eflow, Ben is responsible for the delivery of our plan for strategic growth, international expansion, and operational effectiveness.

Ben’s 25 years of corporate experience spans technology, financial services and regulatory affairs, and he is regularly featured in industry media as an expert on all things compliance.

He first joined the business in 2004 as Chief Operating Officer and has played an integral role in shaping eflow’s progression from a niche technology provider to one of the world’s most respected Regtech vendors. In 2023, he led eflow’s Series A funding round of £7m.

Marsha Parker

sales@eflowglobal.com (eflow) — Mon, 01 Jan 0001 00:00:00 +0000

Marsha is a Founder of eflow and our Chief Platform Officer. She has undertaken a number of senior roles at eflow over the last 20 years, and currently leads our efforts to develop and optimise PATH, the unique digital ecosystem that underpins all of our regulatory solutions.

Having been instrumental in the creation and engineering of the original PATH platform in the 1990s , Marsha can draw on more than 40 years of experience in financial services software development. Prior to establishing eflow, she contracted for a number of financial institutions across Australia, North America and Europe, helping these firms to solve complex operational problems through the deployment of technology-led solutions.

Alexander Parker

sales@eflowglobal.com (eflow) — Mon, 01 Jan 0001 00:00:00 +0000

Alex is our Chief Technology and Product Officer, as well as one of eflow’s founders. He is responsible for the ongoing development of our suite of regulatory modules in addition to the management of our systems administration team.

In his role, Alex oversees eflow’s team of dedicated product and infrastructure specialists. He is continuously looking for new ways to enhance eflow’s solutions in line with client feedback, regulatory change and the latest advances in technological capabilities. Alex can draw on more than 20 years of experience spanning digital infrastructure, consultancy services, and business analysis, having worked for firms based in both the UK and Australia.

Michael De Jongh

sales@eflowglobal.com (eflow) — Mon, 01 Jan 0001 00:00:00 +0000

Michael leads eflow’s customer growth strategy, driving adoption, expansion, and long-term value across the company’s regulatory technology solutions. With a background in scaling high-growth SaaS businesses, he brings deep expertise in building go-to-market engines that accelerate revenue and strengthen customer impact.

Throughout his career, Michael has helped technology scale-ups unlock new levels of customer growth and value for shareholders, creating strategies that deepen engagement, increase lifetime value, and turn customer success into a true growth engine. At eflow, he applies this focus to help clients achieve more and realise the full potential of their partnership with us.

Douglas Moffat

sales@eflowglobal.com (eflow) — Mon, 01 Jan 0001 00:00:00 +0000

Doug leads eflow’s expansion strategy in North America, utilising his significant experience in new business sales and account management to expand our client base across the U.S. and Canada.

He joined eflow in 2020 having previously worked for a large U.S.-based software company and quickly demonstrated his ability to understand clients’ regulatory obstacles and offer compelling technology-based solutions.

During his time at eflow, Doug has worked with hundreds of global firms regarding their regulatory compliance, enabling him to offer a uniquely faceted perspective on how institutions can enhance their governance.

Kristian Frost Pedersen

sales@eflowglobal.com (eflow) — Mon, 01 Jan 0001 00:00:00 +0000

Kristian joined eflow in 2025 and leads our finance and administration teams. He brings a wealth of experience in scaling founder-led, VC-backed SaaS businesses sustainably across international markets.

Over the course of his career, Kristian has led multiple companies and finance teams through exits, capital raises, global expansion, rapid growth, and operational transformations - frequently balancing both strategic vision and hands-on execution.

Originally from Denmark, Kristian started his career at PwC before joining a series of high growth tech firms, including BullGuard, Headspring, Zappar, Klaus and Switchee.

Sam Roberts

sales@eflowglobal.com (eflow) — Mon, 01 Jan 0001 00:00:00 +0000

Sam joined eflow in 2023 and leads all aspects of the firm’s lead generation, communications and brand strategy as Chief Marketing Officer.

He brings over 20 years of marketing experience spanning the financial, legal and professional services sectors, including senior roles at fast-growing scale-up fintechs, PE-backed SaaS companies, and a global professional body.

He holds a Professional Diploma in Marketing from the Chartered Institute of Marketing.

Laura Gonzalez

sales@eflowglobal.com (eflow) — Mon, 01 Jan 0001 00:00:00 +0000

As Operations Director, Laura leads all aspects of eflow’s internal process management.

Her team is responsible for ensuring that all eflow systems run as smoothly as possible to deliver a world class user experience for our clients. This means that throughout their journey with us, from system configuration to onboarding to contract renewal, our clients can extract the maximum value from our regulatory technology.

With more than 10 years of experience at technology firms both in the UK and Colombia, Laura has a particular interest in the use of data to unearth insights and trends that can enhance clients’ use of technology.

Nikita Bethell

sales@eflowglobal.com (eflow) — Mon, 01 Jan 0001 00:00:00 +0000

Nikita leads our customer success and help desk teams, where she is responsible for ensuring that our clients extract the maximum value from their eflow regulatory solutions. Having played a key role in managing eflow’s client relationships since joining the business in 2021, Nikita is perfectly positioned to support firms with the configuration and ongoing optimisation of their systems. She also works with eflow’s various subject matter experts to find solutions to the wider regulatory challenges facing our clients.

Prior to joining eflow, Nikita graduated with a first class degree in Business Management from the University of Liverpool.

Michael Channing

sales@eflowglobal.com (eflow) — Mon, 01 Jan 0001 00:00:00 +0000

Mike is eflow’s Head of Sales for the UK and EMEA regions. He joined eflow in 2021 and has now worked with more than 100 financial institutions to streamline and strengthen their regulatory compliance operations, with a particularly strong focus on trade and eComms surveillance.

Prior to embarking on his corporate career, Mike was a professional rugby league player and represented several leading UK teams while also playing for Wales at international level.

AI collaboration in financial markets

sales@eflowglobal.com (eflow) — Mon, 26 Jan 2026 11:04:00 +0000

Artificial intelligence has undeniably transformed financial markets, driving unprecedented growth through its speed, precision, and efficiency in trading and regulatory compliance. But as these powerful systems begin to collaborate across institutions, they unlock a new frontier—not just of opportunity, but of risk.

The rise of AI-driven systemic vulnerabilities and accountability challenges has introduced complexities that ripple through increasingly interconnected global markets. In addition, regulatory frameworks vary between nations, and the risks become not only technical but also geopolitical.

Like any ground-breaking technology, AI offers immense potential—but it’s a double-edged sword. As collaboration between systems deepens, so does the need for robust safeguards. In this article, we look at the evolving risks of AI collaboration, explore real-world scenarios highlighting those dangers, and uncover strategies to mitigate them. Are financial markets ready for this next chapter in AI evolution?

Understanding AI collaboration in financial markets

In a scenario we are likely to see more of going forward, AI collaboration occurs when multiple systems share data or decision-making tasks. There are numerous examples of legitimate AI collaboration.

Trading bots and risk management AI

It’s not difficult to imagine a scenario where an AI-powered trading bot collaborates with another firm’s risk management AI to optimise cross-asset portfolios. This would have positive regulatory benefits for both the firm managing the portfolios and the underlying clients.

AI compliance tools in multinational banks

Looking at AI compliance from a different angle, it makes sense for AI compliance tools in multinational banks to share transaction data. This could prove critical in identifying potential money laundering activity and alerting other institutions and regulators.

The appeal of AI collaboration is not difficult to see. Enhanced efficiency, scalability, and combined predictive accuracy leave human activities in their wake. Unfortunately, the power and impact of AI and machine language learning can also be used to fuel illegal activities.

Key risks of AI collaboration

When it comes to AI and algorithmic-based trading, some elements overlap, but there are distinct differences. From a regulatory standpoint, algorithmic trading uses relatively simple logic. Based on predefined rules, there is no scope for learning flexibility. On the other hand, AI-driven trading systems learn and adapt to new data and experiences, able to predict market trends and effectively “think for themselves."

Systemic vulnerabilities

If we look at the 2010 “Flash Crash”, which wiped $1 trillion from markets in a matter of minutes, this resulted from algorithmic trading systems being triggered. While the financial impact was staggering, a collaborative AI approach would likely have exacerbated the effects, with each trading system reacting to the others in a feedback loop. By the time financial institutions and regulators had identified the issue, it would likely have been too late.

Transparency and accountability

Despite the significant benefits of AI technology, one area in which systems are often found lacking is explainability. A manual process would likely have a virtual paper trail, but this is only sometimes the case regarding AI decision-making, reducing transparency and accountability. For example, an AI system may randomly identify a trade as insider dealing without context. The time it takes regulators and financial firms to clarify the situation could delay the decision-making process.

Unpredictable behaviour

Just last year, the UK government, in tandem with Apollo Research, demonstrated the potential unpredictable behaviour of artificial intelligence. An AI bot employed by a struggling investment company was given some inside information and the ability to trade on a fictitious financial market. Warned not to deal on inside information, the AI bot deemed that the “risk associated with not acting (leading to the demise of its employer) seemed to outweigh the insider trading risk” and made the trade. When questioned about its activities, it also lied, seemingly looking to cover its tracks!

It’s not difficult to imagine numerous nightmare scenarios considering AI systems in isolation. Still, the impact could be multiplied if they could collaborate in an uncontrolled environment. Is AI capable of prioritising objectives over constraints? It looks like it.

Mitigation strategies for AI collaboration risks

Many experts believe we are only scratching the surface of AI’s potential, which should raise alarm bells. It also highlights the need for mitigation strategies to combat AI collaboration risks.

There are numerous mitigation strategies which should curb the power and influence of AI.

Robust AI governance frameworks

The fact that the AI trading bot seemingly ignored the dangers of dealing on inside information and instead focused on saving the firm highlights the need for enhanced governance. This may involve the introduction of sandbox environments where financial institutions and regulators can simulate AI collaborative failings. By effectively identifying vulnerabilities before systems go live, they can be adapted within a much tighter framework.

Leveraging large language models

Many AI monitoring systems are prone to false positives, diminishing their value and time-saving benefits. The introduction of large language models will allow compliance systems to “learn on the job,” significantly reducing the number of false positives while improving the detection of real threats. As with any human approach, no system will ever be 100% fool-proof, but there is scope for significant improvement by introducing large language models.

Human oversight

Amidst the introduction of cutting-edge technology, RegTech solutions that can automate most of your regulatory obligations, it’s easy to forget the value of human oversight. However, many companies use compliance officers to review AI-flagged alerts, allowing them to add context to decisions and prevent overreliance on automated outputs. The AI detection process should improve using LLMs, but human oversight will always be required.

While there may be a temptation to over-depend upon automated AI compliance solutions, there must always be a degree of human oversight.

The future of AI compliance

AI’s role in dynamic parameterisation, large-scale data analytics, and the identification of causally correlated instruments will shape its contribution to compliance. The ability to change parameters based on market conditions and underlying client characteristics will reduce the number of false positives, saving time, effort and money. Large-scale analytics can uncover hidden correlations between instruments and markets, which is helpful in compliance and a valuable information commodity for financial firms.

As tempting as it may be to move to complete dependence on automated RegTech solutions, there must always be a degree of human oversight. To be fair, this has reduced significantly in recent years, but as we identified above, rogue AI systems can cause havoc in isolation and financial disasters in collaboration.

eflow’s contribution to AI collaboration risks

Slowly but surely, AI protection regulations are emerging across the financial services industry and broader business. Unfortunately, a reactive approach to the challenges of AI collaboration risks means that Regtech companies such as eflow need to be proactive.

There are many ways in which we can assist, such as:-

Dynamic monitoring solutions
Advanced risk scoring and alert systems
Scalable compliance platforms
Predictive analytics and causal analysis
Human oversight tools
Proactive regulatory engagement
Secured data integration
Tailored risk mitigation strategies

By providing dynamic, adaptable, and compliance-focused solutions, we can help financial institutions enjoy the benefits of AI collaboration while minimising associated risks.

Benefits of secure AI collaboration

While there are obvious challenges when it comes to AI collaboration, much of it relating to control, it’s important to note the positive aspects of secure AI collaboration. It will play a major role in collaborating information from numerous sources to detect and prevent market manipulation. Introducing trading breakers, which would prevent high-risk trades in volatile market conditions, has the potential to improve operational resilience.

Like Open Banking, which collates information from various sources, AI collaboration will be essential to future innovation. For example, allowing FinTech start-ups to collaborate with established AI platforms could assist in numerous areas, such as global risk management solutions. Bringing together information from secure, compliant channels will help create comprehensive services and dashboards.

As with any new technology, there are challenges and a need for at least some regulation. AI collaboration brings vast benefits and significant risks, which must be controlled within a strict framework. Thankfully, new regulations mean that AI solutions still need to provide a virtual paper trail, which was flagged as a potential issue earlier in this article.

Conclusion

The potential of AI collaboration in financial markets is vast, offering unprecedented opportunities to enhance compliance, streamline operations, and drive innovation. Yet, without proper safeguards, the same collaborative systems that promise growth could destabilise markets, amplify systemic vulnerabilities and create opaque accountability structures.

The key to harnessing the benefits of AI collaboration lies in balancing innovation with responsibility. Robust governance frameworks, cutting-edge RegTech tools, and ongoing human oversight are essential for mitigating risks and maintaining trust in financial markets. As the industry evolves, proactive strategies will be critical to ensuring that AI collaboration contributes to market integrity rather than undermining it.

Are you ready to turn AI collaboration into a competitive advantage? Partner with eflow to navigate the complexities of AI in financial services. Our tailored RegTech solutions help you manage risks, adapt to evolving regulations, and secure the future of your operations. Contact us today to safeguard your compliance strategy and stay ahead in a rapidly changing market.

eflow client base surges 23% as trading complexity intensifies surveillance demands

sales@eflowglobal.com (eflow) — Tue, 20 Jan 2026 05:38:00 +0000

London, UK: Tuesday 20th January 2026: eflow, a leading provider of regulatory compliance technology for financial services, today announces 23% client growth in 2025, as firms strengthen surveillance infrastructure to address complex and increasingly AI-driven trading and sophisticated regulatory demands. The expansion resulted in 56 new deployments of eflow’s modular compliance software as financial institutions modernise monitoring capabilities in response to rapidly evolving market dynamics.

The growth reflects mounting pressure on compliance and surveillance systems as firms navigate a combination of market volatility, geopolitical uncertainty, and increasingly complex trading activity. Automated and algorithmic trading now underpins a significant proportion of global market activity, while the use of AI across financial services continues to expand. As regulators pursue more sophisticated market abuse typologies and place greater scrutiny on firms’ surveillance capabilities, traditional, rules-based monitoring tools are struggling to keep pace, driving increased investment in integrated, adaptive surveillance technology.

Addressing the surveillance gap

In response to these challenges, eflow launched PATH AI to help compliance teams investigate trading alerts more efficiently through explainable, contextual insights delivered via a conversational interface. Users can analyse alert history, identify behavioural patterns, and generate audit-ready case summaries, with all data fully referenced and conversations tracked for reporting.

eflow also enhanced its TZEC suite with new eComms surveillance and archiving modules, offering significant cost and deployment advantages. Data extraction is priced at $0.20 per GB versus up to $50 per GB from legacy providers, and full deployment can be completed in as little as 90 days.

Adoption surges amid regulatory scrutiny

eflow’s 2025 client wins included Finalto, a global liquidity provider, and Mirae Asset Securities UK, both of which selected eflow’s technology to centralise their trade surveillance and best execution monitoring. In total, 40 new or expanded client relationships contributed to 56 new system deployments across the company’s product suite, reflecting both new client wins and broader adoption among existing customers, with 14% of current clients expanding their use of eflow’s technology.

The company strengthened its technology capabilities through strategic partnerships with EXANTE, enhancing market data depth, and AI specialist DHI, enabling the integration of AI-generated risk scoring into its surveillance technology. To support accelerating demand, eflow made three strategic senior appointments: Kristian Frost Pedersen as Chief Financial Officer, Michael De Jongh as Chief Growth Officer, and Ross Pearson as Head of AI.

Ben Parker, CEO at eflow, commented: “Our strong growth in 2025 reflects a clear market shift. Between geopolitical uncertainty, significant market volatility, and increasing regulatory complexity, firms can no longer rely on siloed surveillance as regulators target increasingly sophisticated manipulation and scrutiny of surveillance capabilities intensifies. Clients expanded their use of our platform, driving 56 new technology deployments in 2025 - clear evidence that an integrated approach delivers measurable value. As AI reshapes both trading behaviour and regulatory expectations, the firms that succeed in 2026 and beyond will be those investing in surveillance technology that can match this complexity while maintaining the transparency regulators demand.”

eflow enters 2026 focused on expanding its presence in Europe, North America and Asia-Pacific whilst advancing its position in AI-powered, explainable surveillance technology.

Q4 2025 enforcement update: Other jurisdictions rise as the U.S. goes quiet

sales@eflowglobal.com (eflow) — Mon, 12 Jan 2026 10:30:00 +0000

In terms of regulatory enforcement, Q4 2025 was a tale of two sides. As the U.S. regulators went quiet under the weight of the longest government shutdown on record – 43 days – other international regulators remained busy.

The APAC region, in particular, stood out. We saw landmark fines, courts willing to recalibrate penalties upward, and a regulator signaling clearly and repeatedly that enforcement is being used unapologetically as a deterrent. Other jurisdictions remained active too, closing out a mix of insider trading, market manipulation, and systems and controls cases as the year drew to a close.

In Q4 2025, we saw 19 enforcement actions:

Across 5 jurisdictions:

Totalling $32.1 million:

U.S.: FINRA zeroes in on supervision and surveillance execution

While we saw no enforcement from the SEC and CFTC, FINRA’s enforcement this quarter leaned heavily into supervision, surveillance, and communications governance, or a lack thereof.

On personal account dealing oversight, Canaccord Genuity Wealth Management was fined after failing to review associated persons’ securities transactions for potential insider or manipulative trading over several years. The firm outsourced the review to an affiliate but that review was limited (focused on insider trading only), and the Canaccord senior management had no effective oversight of the affiliate’s work, leaving gaps such as detecting trading ahead of customers.

FINRA also targeted weak supervision, in which case an individual falsely marked exception reports as “reviewed” in batches without actually evaluating thousands of transactions for potential manipulative trading, a reminder that regulators place equal emphasis on the quality of the human in the loop as they do the systems that support them.

Failures in eComms surveillance also persisted. Ally Invest was fined $850,000 for failing to preserve 22.6 million business-related electronic communications and failing to review ~521,000 communications. Other cases reinforced the same theme: personal devices, outside email, deletions, and weak capture controls continue to generate enforcement exposure

UK: The FCA focuses on insider trading

FCA enforcement this quarter focused on individual accountability in insider dealing. There were two cases of note to explore in the UK in Q4.

In one, the FCA charged a former investment banker involved in advising GCP Student Living PLC on a potential takeover, alleging he leaked inside information to a close associate. That associate traded in shares and spread bets, generating profits of almost £70,000, with the conduct dating back to 2021.

In another case, an advisor used advance knowledge of an ITM Power PLC announcement to avoid the impact of a sharp market move: he sold 125,000 shares worth £124,287 the day before, then bought back 180,000 shares worth £140,700 after the share price fell by around 37%, generating a gain of £26,575.

APAC: ASIC continues to ramp up enforcement

ASIC recently released its 2026 enforcement priorities, with market manipulation and insider dealing featuring prominently. The language was clear and deliberate. ASIC is increasingly positioning enforcement as a primary mechanism for upholding market integrity and maintaining the standards of transparency expected of Australian capital markets. That intent is clearly reflected in the data from Q4 2025.

Last quarter, the standout case was the combined AUD 240 million levied against ANZ for a range of issues tied to retail and institutional markets and trading misconduct. In Q4, the penalty for ANZ’s inaccurate reporting of secondary bond market turnover data was increased by a further AUD 10 million.

This brings the combined penalties related to institutional and market misconduct to AUD 135 million. Only the additional AUD 10 million uplift is captured in this quarter’s enforcement data; the remainder was reflected in last quarter’s figures. Even so, the increase reinforces ASIC’s willingness — and the court’s support — to increase penalties where market integrity failures are viewed as particularly pervasive or inexcusable.

Macquarie Securities and short sale misreporting: a data integrity failure with market abuse implications

ASIC’s action against Macquarie Securities (Australia) Limited marks a significant escalation in regulatory scrutiny of regulatory data quality. This is ASIC’s first ever short sale reporting case, culminating in a AUD 35 million penalty.

Between 2009 and 2024, Macquarie Securities misreported at least 73 million short sales, with ASIC estimating the true figure may be as high as 1.5 billion. The errors spanned more than 14 years, impacted over 300 securities, and in some instances distorted published short sale volumes by more than 50%. The failures were systemic, driven by long-standing systems weaknesses, inadequate supervisory procedures, insufficient technical resources and deficient risk management, most of which went undetected despite prior internal reviews.

This is not a market abuse case in the traditional sense. There are no allegations of insider trading or manipulative intent. However, the conduct directly undermined the transparency mechanisms that regulators and market participants rely on to assess sentiment, detect misconduct, and understand price movements. Short sale data is a foundational input for surveillance, risk analysis, and public confidence, particularly during periods of market stress.

Individual accountability remains the enforcement backbone in Singapore and Hong Kong

Elsewhere, in Singapore and Hong Kong, enforcement activity skewed more toward traditional market abuse, and regulators continued to demonstrate a willingness to pursue individuals for relatively contained but clear-cut misconduct.

In Singapore, MAS imposed civil penalties for insider trading that hinged on access to specific, market-moving information. One case involved the former managing director of Alpha Energy Holdings, who sold 2,413,300 shares via his parents’ accounts while in possession of non-public information.

Another involved a head of margin at a broker who learned of a corporate sale and the intended price ahead of announcement, then traded in both the parent (Tee International) and subsidiary (Tee Land), including purchasing three million shares in the parent ahead of the deal being made public.

In Hong Kong, the SFC secured custodial outcomes. One former corporate services executive received two months’ imprisonment for insider dealing linked to privatisation events, alongside financial orders reflecting losses avoided. Another individual received eight months’ imprisonment for false trading.

The broader signals

Q4 2025 underscored just how uneven enforcement momentum can be, and why firms should be careful not to mistake temporary silence for regulatory retreat. The U.S. slowdown was temporary, not strategic, while other jurisdictions used the quarter to reinforce expectations with clarity and force.

The most consistent signal this quarter was the elevation of control effectiveness over intent. From ASIC’s upward recalibration of penalties to its first-ever short sale reporting case, enforcement is increasingly focused on whether firms can demonstrate that systems, data, and supervisory processes work as intended.

FINRA Market Oversight Report 2026 – What you need to know

sales@eflowglobal.com (eflow) — Tue, 06 Jan 2026 14:16:00 +0000

The Financial Industry Regulatory Authority (FINRA) has published its 2026 Annual Regulatory Oversight Report (the Report).

Member firms are expected to incorporate relevant elements of the Report into their compliance programs in a way that reflects their specific activities and risk profiles. For market abuse, there are several noteworthy updates to FINRA’s commentary on manipulative trading, along with a new section covering the use of generative AI (GenAI) by member firms. In this blog, we focus on the key need-to-know developments.

Manipulative trading deficiencies

Deficient WSPs highlighted again

Weak supervisory procedures for identifying manipulative trading once again featured prominently in FINRA’s findings, with much of the language mirroring last year’s report.

At a high level, the issues remain familiar: procedures are not sufficiently tailored to firms’ actual business models, accountability for monitoring is poorly defined, and escalation processes lack clarity.

What is new this year is FINRA’s explicit focus on firms failing to consider red flags from external sources. The Report highlights gaps where firms do not factor in inquiries from regulators, trading venues, service providers, or publicly available information about known manipulators.

As with other areas such as financial crime, firms are expected to leverage third-party and public data as part of their market abuse framework. Firms should clearly document how this data is ingested into surveillance workflows and how it informs monitoring, escalation, and decision-making.

Trade surveillance deficiencies remain a problem

FINRA also continues to flag long-standing weaknesses in firms’ surveillance frameworks. These largely relate to systems that are not reasonably designed to detect the full range of manipulative behaviors, or that rely on poorly calibrated or static thresholds.

Common issues include:

Gaps in coverage for specific manipulation typologies (layering, spoofing, wash trades, marking the close, and odd-lot manipulation are named examples).
Thresholds that are either too narrow or too blunt to identify meaningful activity.
Failure to reassess controls as business models, customer bases, or market conditions change.

What’s new in 2025 is FINRA’s sharper focus on the big picture. In essence, FINRA is signaling that many firms’ surveillance approaches are too narrow. They may detect isolated suspicious events, but fail to identify coordinated or sustained manipulation.

This reflects a broader regulatory concern that manipulative behavior is becoming more sophisticated and deliberately designed to evade simple, rules-based alerts. FINRA highlights several recurring gaps:

Limited time horizons: Manipulative schemes like pump-and-dumps or marking-the-close may be deliberately spread over multiple sessions to stay below same-day alert thresholds, making the behavior harder to detect when viewed in isolation.
Siloed customer reviews: where potential prearranged or coordinated trading across multiple accounts is missed.

Alert-by-alert analysis: spoofing activity earlier in the day may be used to move prices, followed by marking the close to lock those prices in. When reviewed separately, each alert may seem low risk.

What FINRA is seeing in small-cap manipulation

FINRA has observed an evolution in small-cap pump-and-dump schemes involving exchange-listed equities:

Shift in timing: Schemes are moving away from the IPO date, often occurring months later or repeating multiple times for the same stock.
Nominee & omnibus accounts: Bad actors use “nominee” accounts to control the stock during the IPO, then funnel shares to foreign omnibus accounts to hide the true concentration of ownership.
Secondary offering abuse: Companies may sell large blocks of shares privately to foreign investors without proper disclosure. These shares are then “dumped” into the U.S. market via brokerage accounts.
Account takeovers: A newer, aggressive tactic where scammers hack legitimate investor accounts, sell their actual holdings, and use the cash to buy the manipulated stock.
Social engineering: Scammers use “Investment Clubs” on social media and text apps to trick victims into buying at specific times, creating the “pump” that allows the bad actors to sell at a profit.

Best practice for trade surveillance

While much of FINRA’s guidance on effective practices remains consistent with prior years, subtle wording shifts in the 2026 Report signal a higher bar for how firms design and operate their controls.

Tailored “control parameters and thresholds”

FINRA places greater emphasis on granular calibration of surveillance controls, commending firms that move beyond out-of-the-box settings. A single set of thresholds cannot reasonably apply across highly liquid equities, volatile OTC securities, and fixed income products. Thresholds set too wide risk missing manipulation; too narrow, and firms generate excessive noise.

Monitoring across platforms

FINRA has expanded its expectations for multi-platform monitoring by explicitly including platforms that “support trading”, not just those where trades ultimately execute. This signals a move beyond post-trade surveillance of the tape toward monitoring pre-trade activity on electronic trading platforms, alternative trading systems, and dark pools, where behaviors such as spoofing or layering may occur without an execution.

The update also reinforces expectations around cross-product and cross-border visibility, particularly where activity on offshore or alternative venues may be used to influence prices in U.S.-listed securities.

The role of Generative AI

FINRA’s commentary on GenAI is deliberately broad. It offers a snapshot of how FINRA-regulated firms are currently using the technology across their businesses.

The dominant theme among the use cases identified is efficiency, not necessarily autonomy. Firms are primarily deploying GenAI to streamline internal processes, improve access to information, and reduce manual effort, rather than to make autonomous decisions.

The most common use case cited is summarization and information extraction: “condensing large volumes of text and extracting specific entities, relationships or key information from unstructured documents.”

Importantly, FINRA strikes a constructive tone. It recognizes the potential benefits of GenAI, while clearly reiterating that its technology-neutral rules and broader securities laws continue to apply. In other words, the use of GenAI does not change firms’ regulatory obligations around supervision, governance, or accountability.

Generative AI use cases in surveillance

Some of the GenAI applications FINRA references map closely to how we are seeing firms deploy these technologies in surveillance today. These use cases are explored in depth in our latest eBook, “AI in Trade Surveillance”.

FINRA category	Surveillance application
“Conversational AI and Question Answering: Providing interactive, natural language responses to user queries. Delivered through chatbots, virtual assistants, and voice interfaces”	LLM-based co-pilots allow analysts to query surveillance data using natural language. By combining retrieval-augmented generation (RAG) with secure access to trade data, eComms, and historical decisions, firms can reduce reliance on technical queries and make insights accessible to non-technical users.
“Sentiment Analysis: Assessing whether text is positive, neutral, or negative”	LLMs supplement traditional keyword-based systems by interpreting context, intent, and tone. This helps surface suspicious behavior that may be missed by static lexicons, particularly where coded language, slang, emojis, or non-standard phrasing is used.
“Workflow Automation and Process Intelligence: Optimizing business processes through intelligent routing, automation, and agent-based workflows”	GenAI is increasingly used to support alert prioritization and investigation workflows. Common applications include assembling context across data sources, summarizing evidence, ranking alerts by likely risk, and learning from analyst outcomes to reduce false positives over time.

Holistic surveillance is the name of the game

FINRA’s latest report reinforces a clear message: firms must move beyond static, siloed surveillance and generic procedures. Expectations now centre on contextual monitoring, external data integration, and holistic analysis of manipulation. GenAI offers real efficiency gains, but accountability, governance, and supervisory rigor remain firmly non-negotiable.

Webinar: Market abuse controls and surveillance

sales@eflowglobal.com (eflow) — Mon, 15 Dec 2025 15:33:00 +0000

From policy design to real-world execution

The second in our series of webinars with ComplyLens explores practical guidance on how to design and implement proportionate, effective and data-driven trade surveillance controls.

Our industry experts explain what regulators expect to see from firms’ in respect of their market abuse governance frameworks, and offer insights into how this can be delivered in a sustainable and effective way. In the session, we cover:

A case study that illustrates why proportionate, effective, and data-driven surveillance controls are so vital
What regulators expect from firms in terms of trade surveillance policy and execution
The role of trade surveillance technology and the impact of AI tools
The importance of comprehensive venue coverage

Webinar: Market abuse risk governance

sales@eflowglobal.com (eflow) — Wed, 10 Dec 2025 16:03:00 +0000

Building a strong market abuse risk governance foundation

The first in a series of webinars jointly hosted with ComplyLens, this is a thought-provoking webinar exploring how to design and execute a Market Abuse Risk Assessment (MARA) that is a strategic governance tool, rather than a regulatory box-ticking exercise.

This session provides practical guidance on developing a robust, effective and sustainable framework for managing market abuse risk, ensuring that your MARA becomes a central pillar of your firm’s governance strategy. In the session, our panel of industry experts will cover:

What does a good MARA look like?
What do regulators expect from firms?
Practical tips on how to run a MARA
How your MARA impacts trade surveillance

The future of compliance automation: Trends to watch

sales@eflowglobal.com (eflow) — Tue, 09 Dec 2025 13:27:00 +0000

Compliance has always been resource-intensive, but in 2025, the stakes are higher than ever. The FCA, ESMA, and other regulators are increasingly data-driven, demanding faster, smarter, and auditable compliance processes.

For senior leaders, compliance is no longer a back-office activity - it’s a board-level priority that carries both financial and personal liability under SMCR.

In reality, automation is now the only realistic option for those operating in the financial services sector. The question is not if firms should automate, but how fast they can modernise without disrupting business.

Below, we examine why compliance automation is crucial now, looking at the trends shaping the market, what firms should do to prepare, and how eflow is helping financial firms stay ahead.

Why compliance automation matters now

The compliance function is under relentless pressure, and this is impacting all areas of financial firms. Regulators expect real-time monitoring, the volume of data continues to explode, and costs to comply are rising sharply. Manual processes can no longer keep pace, and firms that persist with legacy systems are already falling behind in meeting evolving expectations.

If we remove external noise, automation provides three clear advantages:

It delivers speed and consistency across complex workflows.
It ensures defensible audit trails that regulators demand.
It reduces operational drag, freeing staff to focus on strategic risk.

In other words, automation is not just about efficiency; it is also about resilience in a market where compliance is under constant scrutiny. For CCOs, COOs, and Heads of Surveillance, this means shifting from firefighting to future-proofing.

FCA enforcement in numbers (2024/25 vs 2023/24)

£186m in fines (vs £42.6m in 2023/24 - more than a 4x increase)
37 Final Notices (vs 21 in 2023/24)
30 prohibitions (vs 19 in 2023/24)
1,456 firms had authorisations cancelled (vs 851 in 2023/24)

Source: FCA Enforcement data 2024/25

These figures underscore why regulators now expect firms to demonstrate compliance in real-time, and why automation is no longer optional.

Compliance automation trends to watch

The phrase “compliance automation” encompasses a broad range of tools and techniques. However, the real challenge for senior leaders is discerning which trends are driving meaningful change and which are fleeting buzzwords.

What follows are the seven most crucial compliance automation trends worth your attention in 2025. They represent the shift from manual monitoring and fragmented oversight to integrated, intelligent, and adaptive systems that regulators increasingly expect. Each trend also highlights where firms can achieve the greatest return on investment - in efficiency, accuracy, and regulatory defensibility.

1. AI and machine learning in surveillance

Artificial intelligence is no longer experimental in compliance; it’s becoming mainstream. Firms are shifting from rigid, rules-based alerts to adaptive systems that learn from behaviour and context.

Key developments include:

Behaviour-driven anomaly detection, reducing false positives.
Natural language processing (NLP) for monitoring voice, chat, and email.
Predictive analytics that highlight risks before they turn into violations.

The impact on compliance teams is clear: rather than being overwhelmed by irrelevant alerts, they can now focus on high-priority risks that require escalation.

2. Real-time monitoring

Periodic checks are no longer enough as regulators want firms to identify and escalate suspicious behaviour as it happens. Real-time (or as near as possible) monitoring is moving from aspiration to expectation, particularly under MAR and SMCR obligations.

Examples include:

Systems that ingest trade and communications data simultaneously, creating context.
Immediate alerts and escalations, ensuring compliance doesn’t lag behind market activity.

The result is a compliance function that operates at the speed of the markets it monitors.

3. End-to-end data integration

Silos remain one of the biggest threats to effective compliance, with OMS, EMS, CRM, and communications platforms often operating in isolation, creating blind spots. Fortunately, automation is helping to close these gaps.

Firms are now:

Automating data formatting and reconciliation to eliminate manual bottlenecks.
Creating integrated compliance stacks that provide complete visibility.

This is more than operational efficiency; it creates defensibility. When regulators request evidence, firms can demonstrate a transparent chain of data and decisions.

4. Global and multi-regulator compliance

For UK firms, compliance doesn’t stop at the Channel, with cross-border activity often triggering obligations with ESMA, the SEC, or APAC regulators. Manual management of these rules is inefficient and risky.

Automation is enabling:

Multi-jurisdictional compliance frameworks within a single platform.
Faster adaptation to diverging reporting regimes (e.g., EMIR Refit in the EU vs. SEC CAT in the U.S.).

This flexibility gives firms the confidence to expand into new markets without fear of falling foul of unfamiliar regulators.

5. Automated regulatory reporting

Reporting is one of the most resource-heavy areas of compliance, and regulators are only raising the bar. Automated, straight-through reporting pipelines are fast becoming standard.

Key benefits include:

Submissions that are timely, accurate, and consistent, even across jurisdictions.
Reduced operational risk by cutting manual intervention.

For compliance leaders, this means less time spent reconciling data and more time spent advising the business strategically.

6. Cloud-native compliance platforms

Cloud adoption in compliance has accelerated as both firms and regulators gain confidence in its security and resilience. FCA and PRA guidance now explicitly acknowledge cloud usage as acceptable when properly managed.

Cloud-native platforms provide:

Scalability across desks, regions, or jurisdictions.
Faster deployment and lower infrastructure costs.
Easier regulator-approved storage and monitoring.

This trend is significant because it makes cutting-edge compliance tools accessible to a broader range of firms, including mid-sized players that previously lacked the enterprise-scale infrastructure.

7. Human + automation hybrid models (operational focus)

A common misconception is that automation will replace compliance officers. In practice, it does the opposite: it creates a clearer division of labour — letting machines handle repetitive tasks while humans retain control of judgement and escalation.

Automation is best suited for:

Routine monitoring and reporting, where speed and accuracy are critical.
Data ingestion and formatting, tasks that are time-consuming but low-value.

Humans remain essential for:

Escalation decisions, where context and professional judgement are key.
Direct engagement with regulators and boards, which requires accountability and communication.

The result is a hybrid model where compliance functions run more efficiently without losing the human oversight that regulators and boards demand.

Challenges firms must overcome

Adopting automation isn’t straightforward, with many firms facing:

Legacy systems that resist integration.
Budgetary constraints and proving ROI.
Cybersecurity and privacy risks when automating sensitive data.
Skills gaps as compliance teams adapt to new technology.

The danger is that firms treat these challenges as reasons to delay, when, in reality, delay often creates greater cost, as regulators and competitors move faster.

The human impact of compliance automation (cultural + strategic focus)

The real test of automation isn’t just technical capability — it’s whether people inside and outside the firm embrace it. Without employee and client buy-in, even the smartest system risks underperformance.

For compliance staff, automation is not a threat but an enabler:

Senior officers shift from manual investigations to strategic advisors at board level.
Teams gain capacity for scenario testing, risk modelling, and training rather than drowning in alerts.
SMCR accountability becomes clearer, with audit trails that protect individuals by providing evidence of their decisions.

But adoption also depends on culture and communication:

Firms must provide training and reassurance, so teams trust and use the systems effectively.
Clients expect confidence that automation improves compliance oversight, protecting relationships and market integrity.
Culturally, compliance should be reframed from a “cost of doing business” into a value-adding function that strengthens resilience.

Automation is, ultimately, a human transformation as much as a technical one. Firms that keep their people and clients engaged throughout the journey will unlock far greater benefits than those that treat it as just another IT project.

Scenarios senior leaders recognise and the questions they raise

For many CCOs, COOs, and Heads of Surveillance, the conversation around automation is not abstract - it’s shaped by real challenges they face daily. These scenarios may feel familiar:

Board pressure: “How can we be certain our compliance systems would stand up to FCA scrutiny tomorrow?”
Alert fatigue: “Why are my teams drowning in false positives while real risks might slip through?”
Regulatory change: “How do we adapt to new FCA or ESMA requirements without rebuilding everything from scratch?”
Cross-border activity: “We’re expanding into the U.S. — how do we manage SEC obligations alongside FCA expectations?”
SMCR accountability: “If I’m personally liable, where’s the audit trail that proves I made the right calls?”

These questions don’t just come from compliance desks; they’re being asked in boardrooms, risk committees, and investor meetings. And increasingly, they demand answers that go beyond “we have a process in place”.

Looking to the future, senior leaders know that compliance must be:

Real-time rather than retrospective.
Proactive rather than reactive.
Integrated across systems, teams, and jurisdictions.
Defensible at both the corporate and individual levels.

This is why automation isn’t just a technology decision. It’s a strategic choice that defines whether compliance is seen as a business enabler or a constant source of risk.

What should firms do now?

For CCOs, COOs, and Heads of Surveillance, the roadmap is becoming clearer:

Conduct a compliance audit to spot inefficiencies.
Prioritise automation in high-risk, high-volume areas such as surveillance and reporting.
Run pilot programs to build confidence before scaling.
Ensure compliance, operations, and IT collaborate on implementation.
Upskill compliance officers to focus on strategy, not administration.

By taking these steps, firms not only reduce risk but also strengthen their competitive position.

How eflow helps firms stay ahead

At eflow, we’ve built our platform to meet these very challenges, and, unlike legacy providers, we don’t deliver piecemeal tools. We provide a unified, platform-based solution that integrates trade surveillance, e-communications monitoring, transaction reporting, and best execution into a single ecosystem.

What sets us apart is not only the technology but the partnership model we offer:

Every client has access to a dedicated account manager.
We provide ongoing training and support, ensuring teams get full value from the system.
Our analyst teams help clients map regulatory requirements to practical system configurations.
We proactively monitor client systems and roll out updates as regulations evolve.

The result is a compliance function that is scalable, future-ready, and regulator-defensible, with a client relationship built on trust and responsiveness.

Conclusion

Compliance automation is no longer optional; it has become the industry standard. The FCA and other global regulators are raising the bar with new expectations for speed, accuracy, and defensibility.

Firms that rely on manual processes or fragmented legacy systems will find themselves outpaced not just by regulation, but also by competitors who are already investing in smarter compliance. For CCOs, COOs, and Heads of Surveillance, the stakes are both personal and corporate.

Automation isn’t about replacing experienced teams - it’s about equipping them with the tools to act faster, detect risks earlier, and demonstrate accountability under the most demanding scrutiny. In an environment shaped by SMCR and shifting cross-border obligations, the ability to prove you acted decisively can mean the difference between regulatory confidence and regulatory sanction.

The message is clear: the firms that thrive in the next decade will be those that modernise now. Compliance automation doesn’t just reduce costs and operational drag; it also transforms compliance into a strategic advantage.

If your firm is ready to modernise its compliance stack, now is the time to act. Talk to eflow today to discover how our platform helps UK financial firms cut risk, lower costs, and deliver the kind of defensible compliance regulators expect.

Don’t wait until regulators come knocking - stay ahead of them and start the conversation now.

eflow expands TZEC platform with new eComms archiving and surveillance modules

sales@eflowglobal.com (eflow) — Wed, 03 Dec 2025 08:34:00 +0000

London, UK: Wednesday 3rd December 2025: eflow, a leading provider of regulatory compliance technology, today announced further enhancements to its TZEC platform, a comprehensive suite of eComms archiving and surveillance tools to help financial institutions meet their global regulatory obligations.

The new technology will streamline regulatory workflows while significantly reducing the costs associated with the management, archiving and extraction of eComms-related data. For financial firms, the new eComms surveillance and archiving modules offer major savings compared to some legacy vendors, with eflow charging a data extraction fee of just $0.20 per GB compared with up to $50 per GB from other firms. The products can also be fully deployed in as little as 90 days, a fraction of the time required for traditional systems.

In recent years, financial regulators worldwide have intensified scrutiny of eComms recordkeeping, with enforcement penalties exceeding $3.2 billion in the last five years alone for firms failing to demonstrate robust monitoring and archiving of digital communications. As staff increasingly use multiple platforms to interact, compliance teams face unprecedented challenges in monitoring, storing, and analysing communications for potentially high-risk or abusive behaviour.

To address these challenges, eflow has developed a suite of solutions designed to support firms in meeting regulatory obligations and strengthening oversight. TZEC Archive simplifies core recordkeeping, providing an intuitive interface for archiving, searching, and extracting digital messages from channels such as email, instant chat, voice, voice to text and other off-channel platforms. It ensures compliance with global regulatory standards, including MAR, FCA SYSC, and DORA, without the costly and well publicised data extraction charges that are associated with other archiving technology vendors.

For more advanced monitoring of digital messages, TZEC Focus and TZEC Integrate offer comprehensive surveillance solutions. Using sentiment analysis, natural language processing and machine learning, TZEC Focus analyses multiple communication channels to flag suspicious messages for further analysis and investigation. Meanwhile, TZEC Integrate provides a further layer of contextual insights by linking communications with trade data and leveraging eflow’s Lexicon Service to detect potential market abuse or manipulation. This holistic approach to identifying and preventing market abuse gives compliance teams a deeper, more complete view of high-risk behaviour across their organisation.

“Financial institutions are under growing pressure to monitor and archive communications across multiple digital channels,” said Ben Parker, CEO and founder at eflow. “TZEC equips firms with AI-powered tools to meet regulatory obligations in a cost-effective and transparent way. Unlike other legacy solutions, TZEC users can extract their archived data without being hit by significant additional charges that threaten to place firms in a ‘data hostage’ situation - this potentially saves mid-market firms thousands of pounds. Our rapid onboarding process also means that we can implement a client’s system rapidly without the frustrating waiting times associated with lengthy implementation periods. This makes the process of meeting regulatory obligations more manageable and sustainable from day one.”

By combining robust archiving, AI-driven surveillance, and trade-linked analysis, TZEC enables compliance teams to detect and act on high-risk behaviour more quickly, streamline reporting, and maintain regulatory readiness.

For more information, visit the TZEC product pages.

Correctly identifying market abuse

sales@eflowglobal.com (eflow) — Mon, 24 Nov 2025 14:05:12 +0000

One of the biggest recurring challenges for compliance teams is accurately identifying market abuse.

Being able to minimise false positives and false negatives while simultaneously ensuring that test parameters are rigorous enough to detect real instances of market abuse can feel like walking a tightrope at times, which is why properly calibrating your trade surveillance system is so essential.

To help firms do this, we implement a number of different strategies. For one, we provide information and analytics on how similar firms tend to set their test parameters, providing a rough template that firms can work from when calibrating their own system.

We also provide firms with a sandbox testing environment which they can use to test different system configurations in a risk-free environment before promoting any changes made into their live system.

Beyond this, we also offer a holistic approach to surveillance. By integrating eComms surveillance with trade surveillance, firms are able to see the bigger picture of a trade, gaining context which can be invaluable when attempting to identify instances of market abuse.

Learn more about our trade surveillance solution here.

eflow launches PATH AI as trade surveillance enforcement surges to $1.8 billion

sales@eflowglobal.com (eflow) — Wed, 19 Nov 2025 08:30:00 +0000

London, UK: Wednesday 19th November – eflow, a leading provider of regulatory compliance technology, has today announced the launch of PATH AI, a new AI-powered functionality integrated into its award-winning TZTS Trade Surveillance system. As trade surveillance enforcement surges and regulators increasingly demand that firms can articulate their use of AI in compliance processes, PATH AI delivers explainable and contextualised insights that enable compliance teams to investigate trading alerts more efficiently.

With fines relating to market abuse enforcement reaching $1.8 billion in 2024 - the second-highest annual total on record across 163 cases - and regulators repeatedly citing weaknesses in trade surveillance processes, financial institutions face mounting pressure to strengthen their compliance capabilities. Enforcement action related to failures of trade surveillance systems and controls has surged by more than 800% year-on-year, making robust and explainable AI tools essential for firms managing growing volumes of trading data whilst meeting regulators’ demands for transparency.

The FCA has emphasised that firms must be able to explain how AI systems reach their conclusions, with particular scrutiny on ‘black box’ approaches that generate alerts without transparent reasoning. PATH AI directly addresses this requirement by ensuring every insight is fully traceable to its source data, allowing firms to demonstrate both to regulators and senior management exactly how conclusions were reached.

Through an intuitive interface, users can investigate alerts using conversational prompts to access contextualised information. For example, they can identify whether a trader has triggered similar alerts within a specific period, generate case summaries for escalation, or explore linked patterns of behaviour. All data points are fully referenced to support regulatory audit requirements, with a chat history tracking conversations for reporting and escalation purposes.

The system also dynamically suggests relevant prompts based on the questions being asked, enabling compliance teams to explore different investigative routes efficiently.

Ross Pearson, Head of AI at eflow, commented: “In developing PATH AI, we have made a conscious decision not to create just another AI copilot. PATH AI has been engineered to provide regulatory professionals with the contextualised insights that they need to use their expertise as effectively as possible. One of the main criticisms of how AI is being used in a regulatory context is that it creates a ‘black box’ in which decisions cannot be explained or evidenced. Financial institutions must be able to illustrate how they are using AI to prevent market abuse, and that’s what PATH AI enables them to do.”

The launch marks a significant milestone in eflow’s strategic deployment of AI-powered tools, following the successful introduction of its AI-generated risk scoring functionality earlier this year. The approach focuses on empowering compliance professionals with intelligent tools that enhance their expertise whilst maintaining human oversight and regulatory accountability.

For more information, download eflow’s AI in trade surveillance report here.

Streamlining transaction reporting with automation tools

sales@eflowglobal.com (eflow) — Mon, 17 Nov 2025 11:46:26 +0000

In today’s post-Brexit regulatory environment, UK financial firms face mounting pressure to navigate increasingly complex and divergent compliance requirements. Transaction reporting has rapidly evolved as FCA expectations tighten and reforms like EMIR Refit (both UK and EU iterations) introduce more granular reporting standards. It has moved from a routine obligation into a critical, high-stakes function requiring speed, precision, and flexibility.

For years, firms have leaned on manual processes, pulling trade data from fragmented systems, manually reconciling discrepancies, and relying on stretched compliance teams to meet submission deadlines. That approach may have worked in the past, but now, it’s a liability.

As reporting volumes rise and regulators demand greater transparency, the cost of errors—both financial and reputational—continues to grow. Manual workflows simply can’t keep up, and varying degrees of transaction reporting automation are now the only workable answer.

Automation tools offer a more innovative, strategic means of navigating current and future markets. Automation allows firms to reduce risk, lower operational burden, and adapt swiftly to regulatory changes by streamlining data consolidation, enforcing real-time validation, and building audit-ready workflows.

Transaction reporting has become a pressure point for UK firms, and it’s crucial to understand how automation can relieve that strain and what to consider when selecting the right platform. If your current compliance process feels stretched to breaking point, this may be the transformation you didn’t know you needed.

The ever-changing regulatory landscape

While looking into transaction reporting and automation tools, those operating in the broader financial services industry will be well aware of regulatory and operational changes.

Post-Brexit divergence

Initially, post-Brexit, the UK and EU authorities maintained a high degree of regulatory harmony. In recent times, however, we have seen ongoing divergence in areas such as Markets in Financial Instruments Regulation (MiFIR) transaction reporting. While some MiFIR differences appear minor, they’ve led to persistent dual-reporting burdens. This has prompted renewed debate among UK asset managers on whether buy-side firms should remain subject to both UK and EU regimes.

EMIR Refit implications

As of 30 September 2024, when EMIR Refit came into effect in the UK, the number of reportable data fields increased from 129 to over 200. Firms are now obliged to share unique trade identifiers (UTIs), which is proving challenging for areas such as non-cleared derivative markets. Stricter validation rules also mean that European and UK regulators are working to a zero-tolerance approach to validation breaches. Where companies fail format or logic checks, reports will be rejected outright, highlighting the urgent need for robust transaction reporting automation.

FCA expectations

There is greater pressure on firms to enhance automation, with the Market Watch 81 review identifying widespread issues with overly manual transaction reporting processes. Previously, the regulators were content with a reactive approach to breaches. This has changed dramatically, with firms now expected to self-identify breaches, conduct root cause analysis, and benchmark themselves against peers. Discussion papers, such as DP24/2, are being used by the FCA to encourage firms to adopt more modern data standards and leverage RegTech.

Challenges of manual transaction reporting

As transaction reporting requirements continue to intensify and volumes continue to increase, a number of challenges have grown increasingly common, many of which the regulators have identified as specific areas of interest.

Operational burden

The FCA requires data from a range of sources for transaction reporting which have become more fragmented over the years. They include execution management systems, order management systems, market data feeds, internal chat platforms, and voice calls. Reconstructing transaction reports from fragmented sources is both labour-intensive and error-prone, especially when deadlines tighten and volumes spike. Without transaction reporting automation, it is near-impossible to reconcile data fields, verify timestamps, collate numerous data sources, and ensure consistency in regulator reports.

Mid-sized firms are struggling

Consolidation of the UK financial services industry is ongoing, with many mid-sized firms struggling to update their in-house reporting tools to modern standards. As competitors look to introduce the latest RegTech systems, those with limited resources fall further behind. For example, a mid-size broker using manual processes may fail to detect even the slightest imperfection in timestamp data. This can lead to a systemic reporting error, potentially affecting hundreds of trades and triggering intervention by the FCA or other regulators.

Audit weakness

While self-reporting breaches this critical part of the regulatory playbook, many firms are struggling to collate the information required for regular audits. As a result of manual reporting and limited traceability, firms are struggling to demonstrate the accuracy of their data, source consistency, and amendment history. Even false-flag regulatory reviews can take days, removing valuable resources from everyday business activity.

Ultimately, the risk of non-compliance and the inability to quickly verify past reports and changes enhance the likelihood of financial penalties, supervisory notices, and, ultimately, reputational issues.

Identifying the broad challenges of manual reporting compared to cutting-edge Regtech automation is not difficult. Still, only when you look below the surface do you see the breadth of issues. As new asset classes and regulatory instructions are added to the mix, the need to embrace and incorporate RegTech reporting has never been stronger.

How automation tools solve transaction reporting pain points

We take much of the automation in transaction reporting for granted, but we are just scratching the surface in many ways. There are emerging systems which directly address the various transaction reporting pain points, creating a more stable framework and more efficient workflows.

Centralised data integration

One of the most significant challenges is pulling together data across disparate systems and converting it into a standardised format in real time (or near real-time). These systems can automatically cross-reference trades with individual voice calls or email trails, creating a single source of truth. The centralisation of reporting inputs ensures consistency across data fields, significantly reducing submission rejections.

Accuracy and timeliness

Modern-day transaction reporting automation systems are not only accurate and extremely quick, but they can also carry out pre-submission validations. This effectively identifies potential issues before they are reported to the regulator using AI and conditional logic, reducing false positives and wasted resources. As the regulatory reports are generated and validated automatically, firms can meet FCA deadlines even in high-volume, volatile trading environments.

Audit trails and transparency

The greater the level of automation, the stronger the audit trail and transparency of the source data. The ability to timestamp and log every stage, such as data ingestion, field mapping, validation, corrections and submissions, creates the ultimate audit trail. This means firms can now be “audit-ready” for regular or open expected FCA or internal audits.

Dynamic regulatory updates

Focusing on the operational and reporting efficiencies created by Regtech is easy, but it’s also essential to recognise the dynamic approach to regulatory updates. Central cloud-based platforms can now push regulatory changes directly to clients without the involvement of internal IT specialists. This reduces potential downtime and compliance risks during historic transition periods.

Real-world impact: Benefits for UK financial firms

The natural temptation is to focus on the financial benefits of streamlining compliance using transaction reporting automation tools. However, many additional benefits exist, which create an even greater cumulative benefit in the longer term.

Operational efficiency

There are significant benefits to automating previously manual-intensive actions. Time spent preparing and collating data, validating reports, and delivering to the regulator, which previously took hours or even days, can now be completed in a matter of minutes.

Practical tools such as scheduled batch submissions, real-time error reports, and centralised dashboard views are empowering compliance teams across the industry.

Risk reduction

Ultimately, enhanced regulations all have one endgame: reducing market risk and protecting investors. There are huge accuracy gains with automation, allowing pre-report checks to be carried out and identifying potential red flags before the regulator reports are submitted. The ability to produce more accurate reports means that firms are less likely to be targeted by the FCA with reviews or investigations. Along with fuelling a stronger relationship between industry and regulators, it also helps to avoid potentially catastrophic damage to reputation and credibility.

Scalability

Gone are the days when systems had to undergo major upgrades to accommodate long-term growth. Instead, they are replaced by scalable systems in line with business development. This also allows firms to take on additional business without the proportional increase in headcount. We have also seen enhanced multijurisdictional flexibility, allowing companies to look beyond their traditional markets with confidence, with Regtech systems that automatically accommodate variations in reporting data and reports.

Cost savings

Last but not least, many companies which have switched to automated transaction reporting have seen significant cost savings in areas such as:

Reduced manual workload
Lower remediation costs
simplified infrastructure

Looking at this from a broader perspective, this has given many firms the flexibility to redirect resources to benefit the business in the long term.

Choosing the right automation platform

Not all automation platforms are created equal in a market crowded with Regtech promises. Selecting the right transaction reporting solution isn’t just about ticking regulatory boxes; it’s also about choosing a partner that can evolve with your business, scale with your trading volume, and keep you confidently ahead of compliance demands.

Don’t be afraid to interrogate your vendor

Can their platform adapt to future regulatory changes without disruptive redeployment? Do they offer seamless onboarding, training, and long-term support? Are the validation, reconciliation, and exception management tools built-in or bolted on?

This is where eflow sets itself apart. With a proprietary, platform-based architecture, our transaction reporting solution deploys fast and updates universally, avoiding costly re-coding. Our dynamic parameters automatically adjust thresholds based on market context, such as trade volume or asset class. As a UK-regulated firm, our team understands the nuances of local compliance and delivers service accordingly - no call centre scripts, just real expertise.

If you’re looking for a smarter, faster, and future-proof way to handle transaction reporting, eflow isn’t just an option; it’s the edge.

Conclusion

The regulatory landscape for UK financial firms isn’t just shifting, it’s moving at pace and accelerating. With rising complexity under EMIR Refit, UK MiFIR divergence, and the FCA’s sharpened focus on data quality, transaction reporting has become a proving ground for compliance credibility.

Legacy workflows now expose firms to mounting resource pressure, missed reporting thresholds, and regulatory scrutiny that can erode credibility and trust. The time for patchwork solutions is over.

Automation is no longer a “nice to have;” it’s the foundation of modern, resilient compliance. Done correctly, it not only meets the letter of the law but can also unlock real efficiency, sharper oversight, and peace of mind.

If your current transaction reporting process feels like it’s lagging, now is the time to assess, adapt, and advance. eflow’s platform-based, UK-specific transaction reporting automation solution offers the scale, speed, and support to meet today’s and tomorrow’s growing demands.

Don’t wait for an inevitable breach to be the wake-up call - start the conversation now.

The challenge of monitoring complex instruments

sales@eflowglobal.com (eflow) — Thu, 13 Nov 2025 10:13:24 +0000

Monitoring complex instruments such as OTC derivatives can be a real challenge for firms when trying to detect market abuse.

By increasing the levels of market data available to clients and utilising end-of-day pricing, eflow helps firms avoid some of the most common pitfalls that occur when performing trade surveillance on exotic asset classes.

You can learn more about how eflow helps firms with their trade surveillance requirements here.