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Insights

Thinking on AI inside
regulated industries

Executive perspectives, reference architectures and three delivered engagements described end to end.

Named assets

What already exists to draw on

Twenty-one products, diagnostics, agent patterns, platform components and governance frameworks. Filter by category.

  • PolicyCompareIQClause-level policy and slip comparison
  • ClassifierIQAsset classification with a firm-specific memory loop
  • D&O AnalyzerIQEight-vector D&O underwriting research
  • TriageIQSubmission intake scoring and routing — 2026
  • AI-Ready BlueprintThree-week fixed-scope data estate diagnostic
  • AI Readiness AssessmentData, technology, capability and governance scoring
  • Data & AI Roadmap DesignSequenced, costed initiative plan with owners
  • AI Operating Model DesignReviewer roles, escalation paths, HITL workflow design
  • Technology Stack AdvisoryPlatform selection against your estate and constraints
  • AI Agent Architecture & DesignTask boundaries, tool permissions, failure modes
  • Document Processing AgentsMulti-format ingestion across email, PDF and ACORD
  • Underwriting & Triage AgentsAppetite scoring, capacity checks, context packs
  • Claims Processing AgentsClassification, routing and loss-narrative extraction
  • RAG Knowledge BasesRetrieval over your wordings, guidance and precedent
  • Modern Data Platform DesignMedallion architecture on Fabric, Databricks or Snowflake
  • Data Governance FrameworkOwnership, lineage and automated quality rules
  • Data Quality Programmes180+ automated tests running on every pipeline refresh
  • Underwriting & Claims AnalyticsSemantic layer and agreed portfolio definitions
  • Databricks Partnership ServicesLakehouse delivery under the Bronze partnership
  • AI Compliance & GovernanceFCA, Lloyd’s, EU AI Act and GDPR in one register
  • ROI & Value FrameworkBaselines, KPIs and attribution set before build

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