Major UK banking group with complex regulatory reporting obligations
Automating evidence extraction for regulatory narratives
Reducing manual effort in regulatory narratives while improving traceability and consistency.
Structured, explainable evidence model for key regulatory topics
Automated extraction and aggregation of events and decisions into narrative templates
Human-in-the-loop workflow for validation and enrichment
Designed to evolve as regulation and internal controls change
Context
Risk, compliance and legal teams were under pressure to produce detailed narratives explaining failures, near-misses and remediation actions. Much of this work was manual: assembling evidence from multiple systems, stitching together timelines, reconciling conflicting data. The bank wanted to improve quality and reduce manual drag without losing human judgment.
The Challenge
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Extract evidence across multiple platforms, logs and decision services
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Maintain an audit trail that regulators can test
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Ensure narratives remain consistent with source data even as systems and processes evolve
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Allow subject matter experts to shape the narrative while leveraging automation for heavy lifting
Our Approach
Evidence model and ontology
Defined canonical entities: decisions, events, approvals, controls, mitigations, incidents. Mapped system data to these entities via well-defined adapters.
Evidence extraction services
Built services to pull and normalise evidence from relevant systems (risk engines, fraud platforms, workflow tools, logs). Ensured each piece of evidence has provenance and contextual metadata.
Narrative templating and assembly
Developed narrative templates for common regulatory themes (e.g. breaches, remediation programmes, thematic reviews). Automated initial draft creation, stitched from structured evidence.
Human-in-the-loop review
Experts review and adjust drafts, with changes tracked and reconciled against the underlying evidence.
Outcomes
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Reduced cycle time for complex regulatory narratives.
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Improved internal confidence in the consistency and traceability of evidence.
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Created a reusable evidence and narrative capability that can support multiple regulations and jurisdictions.
Capabilities Deployed
Expertise
Domain reasoning, explainable AI, secure-by-design.
Code Assets
Domain Reasoning Engine, Human-in-the-loop framework.
Practices
Responsible & Explainable AI, Runtime Integrity Engineering.
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