Carriers are under pressure to show AI results, yet most are running disconnected experiments that never reach production. With an integrated approach to strategy and execution, we help you define an AI roadmap grounded in your real processes – and know which steps should be agentic, which stay rule-based, and which stay with your people.

Client: A speciality P&C insurance carrier 

Problem statement: Client wanted us to broadly answer two questions: Where can AI meaningfully improve the business across the value chain? What should be the near-term vs long-term AI priorities?

PERCEIVE

• Absorbed SOPs, SME interviews and system and transaction data across underwriting, operations, claims and finance
• Delivered: Input Package

REASON

• Gen AI triangulated the inputs to surface gaps and the real process, not the documented one
• Delivered: Reconciled Process Map, every conflict flagged for resolution

ACT

• Classified every step, and not every step became AI:
• Agentic – AI reads, reasons and acts, with escalation paths
• Deterministic – rules and straight-through processing; no model needed
• Redesign – fix the process first; automating it as-is would bake in the waste
• Human – high-stakes judgment stays with underwriters and adjusters, by design
• Classification Loop: AI proposes, SMEs validate, AI refines

ADVISE

• Process Intelligence Heat Map and prioritized roadmap across underwriting, operations, claims and finance
• 12-18 month sequencing, dependencies and success metrics, aligned to the operating model and risk appetite
• Delivered: Heat Map + Roadmap

Technology Landscape

• Duck Creek (Policy, Biling and Claims)
• Data & integration: Enterprise data warehouse / lake
• API-based integrations
• AI / ML stack:
• Large Language Models (LLMs)
• Document intelligence and extraction
• Rules + AI hybrid decisioning
• Deployment approach:
• Secure, enterprise-controlled environments
• Human-in-the-loop for critical decisions

• A prioritized backlog and a clear path to value, not another strategy deck
• Shift from isolated AI experiments to a cohesive roadmap
• Identified quick-win use cases with measurable ROI
• Reduced operational friction across underwriting, servicing, and claims
• Improved employee productivity through AI-assisted workflows
• A defensible mix: agentic where it pays, rules where they are enough, humans where judgment matters