AI-based compliance monitoring

In regulated industries, compliance has become an always-on task rather than a quarterly checklist. In a CBI survey, 38% of UK companies said their regulatory workload has surged, and some companies' annual compliance costs reached £50 million. GDPR fines also hit €1.2 billion in 2024.

Manual audits and fragmented LLM tools alone struggle to keep up with this pressure. Regulations, policies, and contracts are scattered across different systems and formats, clause-by-clause review is slow and error-prone, and risks between audit cycles go unseen.

The alternative is to operate compliance as a multi-step workflow of planning-based AI.

• Read regulatory documents in full using long-context processing and extract clause structures.
• Map contracts, policies, and third-party documents using retrieval and symbolic matching.
• Have a verifier score consistency, ambiguity, and risk, leaving supporting evidence.
• Propose clause-level redlines and update drafts, and log every decision in a traceable log.

In one case, an aerospace manufacturer received a regulatory notice with 47 clauses changed and automatically cross-checked it against 1,500 contracts and policies. Manual workload dropped by 85%, an auditable response was organized within hours, and the regulatory response lead time was also shortened by 3 weeks.

The key is to turn compliance into an always-on system rather than a one-time review. Such a system can be deployed on VPC or on-premises, making it applicable even in sensitive environments like finance, healthcare, and defense.