From Screening to Decision-Making: The Next Phase of AI in Compliance
Learn how leading organisations are using AI to accelerate due diligence, improve risk identification and support better compliance decisions
Learn how leading organisations are using AI to accelerate due diligence, improve risk identification and support better compliance decisions
AI is rapidly reshaping how organisations identify, assess and manage third-party risk. As adoption moves beyond screening and monitoring into due diligence, investigations and decision support, compliance leaders face new questions around governance, accountability and trust.
Our latest report, From Screening to Decision-Making: The Next Phase of AI in Compliance, draws on research with 225 compliance, procurement and third-party risk professionals worldwide. It explores how organisations are scaling AI-enabled compliance programmes while preserving the human judgement needed to make defensible decisions.
AI adoption has reached a transition point: Our research of 225 compliance, procurement and third-party risk professionals found that 68% have already deployed AI across compliance processes, however only 20% report extensive adoption. We explore how leading organisations are turning early AI adoption into scalable, trusted compliance capabilities.
From screening to decision support: AI is moving beyond adverse media and sanctions screening into more judgement-intensive workflows. We examine why 48% of organisations plan to introduce AI into third-party due diligence within the next 12 months and what this means for the future of compliance.
The emerging compliance operating model: As AI moves closer to the point at which compliance judgements are made, organisations must balance scale and efficiency with oversight and accountability. We explore how leading teams are combining AI-powered research with expert human review to create more scalable and defensible compliance programmes.
Why human judgement still matters: More than half of respondents say AI-enabled due diligence solutions struggle to assess the context, credibility or relevance of information. We examine why human expertise remains critical for interpreting complex findings, validating evidence and making consequential risk decisions.