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RegTech, short for regulatory technology, is software and other technology that helps organisations understand and meet regulatory requirements. It can support tasks such as monitoring transactions, preparing reports, tracking obligations, managing evidence, and assessing risk. It can make compliance work more efficient, but it does not guarantee compliance or transfer accountability away from the organisation using it.
What RegTech means
The UK Department for Business and Trade defines RegTech as technology—particularly software, data analytics, artificial intelligence and automation—used to help organisations comply with regulatory requirements more efficiently and effectively. The World Economic Forum’s broader framing also includes technology used by regulators, not just by regulated organisations.
RegTech is a category of applications rather than one product or a substitute for a compliance programme. Depending on the organisation, it may help staff interpret obligations, operate controls, collect evidence, identify exceptions, or support supervisory work.
UK Department for Business and Trade: Costs of compliance · World Economic Forum: Regulatory Technology for the 21st Century
What RegTech is used for
The European Banking Authority (EBA) examined five commonly used areas in its analysis of the EU market:
- Anti-money-laundering and counter-terrorist-financing (AML/CFT): tools that support screening, monitoring and related compliance workflows.
- Fraud prevention: systems that help detect suspicious activity or patterns for further investigation.
- Prudential reporting: tools that help compile and submit information required for financial supervision.
- ICT security: technology that supports the management of information and communications technology risks and controls.
- Creditworthiness assessment: systems that help evaluate a borrower’s ability to meet credit obligations.
These are examples, not an exhaustive list. Across these areas, software can help monitor customers or transactions, track regulatory obligations, prepare reports, maintain records and evidence, flag risks, and support reviews. Some tools are aimed at regulated organisations; others can support regulators’ supervisory work.
EBA: RegTech benefits, challenges and risks in the EU
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In the EBA’s analysis, financial institutions identified improved risk management, monitoring and sampling, and fewer human errors among potential benefits. Providers highlighted efficiency, responsiveness to regulatory change, and effectiveness. These are reported benefits, not a guarantee that any particular deployment will deliver them.
RegTech can help staff handle repeatable work and make relevant information easier to review. But a system can only work as well as its data, configuration, integration and oversight. Inaccurate inputs, missed exceptions, weak access controls, or an outdated rule set can create new compliance problems. The organisation remains responsible for determining whether its controls meet the requirements that apply to it.
What the adoption figures actually show
Adoption statistics depend on who was surveyed. A UK Department for Business and Trade study of manufacturers reported that 5% had invested in RegTech. Its size breakdown was 4% among micro firms, 3% among small firms, 17% among medium firms and 38% among large firms. The report cautions that sample bases were low, so these figures should be interpreted carefully. They describe surveyed UK manufacturers, not global businesses or financial institutions as a whole.
In the same study, 85% of manufacturers that had invested in RegTech reported confidence in understanding and complying with new regulations, compared with 71% of non-investors. This is an association, not evidence that adopting RegTech caused the confidence gap: differences in priorities or awareness could also help explain it.
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The report also gives a median one-off compliance cost of £10,430 among businesses that were new or had been affected by a regulatory change. That figure is for the report’s defined subgroup, not all businesses. Separately, a 2022 World Economic Forum article repeated a forecast that the RegTech market would grow from $7.6 billion in 2021 to $19.5 billion by 2026. That was a forecast, not a measured 2026 market result.
UK Department for Business and Trade: Costs of compliance · World Economic Forum: What is RegTech and what does it mean for policymakers?
Risks and implementation challenges
The EBA identified practical obstacles that can limit the value of RegTech deployments:
- Data quality: errors, gaps or inconsistent definitions can undermine reports, monitoring and risk assessments.
- Security and privacy: sensitive information requires appropriate protections, access controls and handling.
- Interoperability and legacy systems: tools may be difficult or costly to connect to existing platforms, particularly where API capabilities are limited.
- Due diligence: assessing providers can take time and cost money.
- Awareness: teams may not know which processes are suitable for automation or how a tool fits their controls.
The EBA did not identify the legal and regulatory framework itself as the most material obstacle in its analysis. It did note that a lack of common standards among EU Member States could hinder broader adoption in the Single Market. These findings are specific to its EU analysis and do not establish a universal ranking of implementation barriers.
How AI changes the governance questions
AI can be part of a RegTech system, but it adds questions about how decisions are made and checked. The U.S. Government Accountability Office (GAO) describes financial-services uses such as credit decisions, customer service and automated trading. It also identifies potential benefits—such as efficiency, cost savings and customer-experience improvements—alongside risks including biased lending, poor data quality, privacy concerns and cybersecurity threats.
In GAO’s review, most regulators said AI outputs inform staff decisions rather than serve as the sole decision source. That describes practices reported to GAO; it is not a single legal rule that applies identically in every jurisdiction. In December 2024, the U.S. Treasury recommended reviewing AI use cases for compliance with existing laws and regulations before deployment and periodically afterward. Its announcement also highlights privacy, bias and third-party-provider risks.
U.S. GAO: Artificial Intelligence—Use and Oversight in Financial Services · U.S. Treasury: Report on AI in financial services
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to assess a RegTech tool
Start with the compliance task and control environment, not a product’s feature list. The following questions translate documented implementation challenges and governance concerns into a practical evaluation:
- Coverage: Which obligation, workflow, legal entity and jurisdiction does the tool support? How are regulatory changes reflected?
- Data: Where does the data come from? Can staff trace its origin, correct errors, and understand how missing or conflicting records are handled?
- Privacy and security: How are access, retention and sensitive information managed? What security due diligence is available for the provider?
- Integration: Will the system work with existing platforms and APIs? Can data and records be exported if systems or suppliers change?
- Auditability: Are actions, rule changes, exceptions and outcomes logged in a way staff can review?
- Decision oversight: For automated or AI-supported outputs, can staff understand the result, review alerts, challenge errors and escalate exceptions?
- Delivery and cost: What configuration, implementation and ongoing maintenance are required? Does the organisation have the expertise to build and maintain a solution, or is buying more appropriate?
- Evidence of value: What outcome will be measured, and how will the organisation distinguish an improvement caused by the tool from other changes?
The right balance between automated and manual work depends on the consequences of error, the reliability of inputs, and the organisation’s ability to monitor and correct the system. Automating a task is not the same as removing the need for accountable review.
Jurisdiction matters
Regulatory obligations and supervisory expectations vary by location and can change. For example, Singapore’s Monetary Authority of Singapore points financial institutions to its Outsourcing Guidelines, including risk management for arrangements such as cloud services, and its Technology Risk Management Guidelines. That is a Singapore-specific reference, not a universal checklist; organisations should consult the current requirements of their own regulators.
Monetary Authority of Singapore: Regulatory Technology (RegTech)
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