About a-team Marketing Services
The knowledge platform for the financial technology industry
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: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

ESMA’s “Data Day” and Regulatory Digitalisation

When ESMA convened its first ‘Data Day’ on 2 December 2025, the agenda title – “Burden reduction in the digitalisation era” – captured a shift that has been building across Europe’s regulatory landscape for several years. While markets been advancing shared data models and machine-executable reporting logic through initiatives such as the Common Domain Model...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Impact of Derivatives on Reference Data Management

They may be complex and burdened with a bad reputation at the moment, but derivatives are here to stay. Although Bank for International Settlements figures indicate that derivatives trading is down for the first time in 10 years, the asset class has been strongly defended by the banking and brokerage community over the last few...