About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Automated Software is Replacing Human Decisions, Finds ESMA

Subscribe to our newsletter

A combination of supply-based developments and demand-based needs are potentially transforming the way financial institutions comply with regulation and supervisory authorities oversee market participants, warned the European Securities and Markets Authority (ESMA) in a new report released on March 14, 2019.

The regulator recently carried out an analysis of the regulatory and supervisory technologies currently being developed in response to various demand and supply drivers, finding that regulatory pressure and budget limitations are pushing the market towards an increased use of automated software to replace human decision-making activities.

“This trend is reinforced by supply drivers such as increasing computing capacity and improved data architecture,” noted the regulator. “Market participants are increasingly using new automated tools in areas such as fraud detection, regulatory reporting and risk management, while potential applications of new tools for regulators include greater surveillance capacity and improved data collection and management.”

With these new tools come challenges and risks, notably operational risk. However, with appropriate implementation and safeguards, RegTech and SupTech (supervisory technology) may help improve a financial institution’s ability to meet regulatory demands in a cost-efficient manner and help regulators to analyse increasingly large and complex datasets.

Foremost among the technological advances, ESMA identified the widespread use of cloud computing, the increased acceptance of Application Programming Interfaces (APIs) and advances in the fields of AI and Machine Learning (AI/ML).

The report also identified a number of risks and challenges for regulators and market participants: including the improvement of data collection and management, the need for a new digital transition and a move towards a new data-driven supervisory process, operational risks including cyber resiliency, and key risks from strategic incentives as firms learn how to leverage potential regulatory loopholes as they develop their RegTech expertise.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Data Standards – progress and case studies

Global data standards and identifiers are essential to business growth, market stability and cost reduction – but they can be challenging to implement, while a lack of consistency across jurisdictions has presented obstacles to global take-up. However, with regulators starting to sit up and take note, the issue of data standards is coming increasingly to...

BLOG

Single Rulebook and Sigma AI Target Regulatory Lag as Markets Accelerate

Single Rulebook and Sigma AI have partnered to shorten the time between an exchange changing its rules and the affected trading business responding. Exchanges can issue circulars that alter trading conditions each day, leaving firms to identify affected desks, assess the operational consequences and document decisions across disconnected teams. The firms aim to deliver source-grounded...

EVENT

TEST Event page 1

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...