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Parker & Lawrence’s  latest survey data suggests what many in the market already sense: financial crime is the risk domain where GenAI is producing the strongest financial upside. Financial crime is the top-ranked area of GenAI impact for almost a third of respondents, and half place it in their top three priorities for value creation. That reflects how quickly the economics of financial crime have outgrown legacy tooling.

Across studies, the same conclusion emerges: GenAI has collapsed the cost, effort and expertise required to create convincing fake documents, while dramatically increasing attack speed and volume. This has tipped the balance in favour of fraudsters, unless firms upgrade their detection capabilities. Identifying document fraud with AI is emerging as the most effective countermeasure.

The sheer volume of new regulations is increasing at an unprecedented rate, creating a density of obligations that manual processes cannot withstand. For compliance officers, the pressure is relentless: 64% of banking respondents in a recent risk survey cited "managing evolving regulatory change" as a high-priority concern, and 61% see reduced regulatory burdens as somewhat or very unlikely. 

Generative AI is reshaping business models and risk profiles, creating opportunities for efficiency and competitiveness while heightening exposure to cybersecurity threats, fraud, model risk, and data governance failures. The Institute of Internal Auditors notes a “palpable” urgency among audit leaders to understand, govern, and adopt AI, even as regulatory clarity, controls, and internal capabilities lag.

As digital transformation accelerates, the systems that drive performance also amplify exposure. Organisations today depend on an expanding network of interconnected IT assets, cloud services, and AI applications. The scale of digital dependency is growing faster than most risk frameworks can keep up.

Parker & Lawrence is proud to announce the release of its latest primary research report: Generative AI in Risk and Compliance 2025. The report explores GenAI's dual role in risk and compliance, as both a tool and a threat, revealing how effective risk management has become the key to unlocking AI value.