Genpact Launches Agentic AI Policy Suite on Azure for Commercial and Specialty Insurance: 90% Touchless Submissions, 75% Shorter Cycle Times
Genpact unveils an AI-driven Policy Suite to speed underwriting, reduce manual work, and lift bind rates. Built on Microsoft Azure AI, it supports touchless intake and risk ranking.

Genpact launches AI-powered Insurance Policy Suite
September 26, 2025
Genpact has introduced the Genpact Insurance Policy Suite to streamline commercial and specialty underwriting. The goal is simple: cut manual work, speed decisions, and raise submission-to-bind performance with data-driven automation.
Why this matters for carriers and MGAs
Underwriting teams spend too much time on intake, triage, and document handling. This suite targets those bottlenecks so teams can focus on quoting, broker relationships, and portfolio quality.
How it works
The suite orchestrates and executes pre-bind workflows end to end-from submission to binding. Built on Microsoft Azure AI Foundry Models and Azure Analytics Services, it supports touchless processing, flags anomalies, ranks risks, and improves decision accuracy.
- Four modules powered by specialized AI agents
- Classification, extraction, and summarization of submission data
- Risk ranking to guide underwriting prioritization
- Observability, audit trails, and role-based controls for governance
Microsoft's Azure AI Foundry Agent Service and Azure AI Content Understanding are part of the stack, combined with Genpact's pre-bind expertise to help carriers accelerate cycle times and improve stakeholder experience. Learn more about the platform here: Azure AI Foundry.
What you can expect (Genpact estimates)
- Up to 90% touchless submission clearance
- Up to 75% reduction in manual cycle times
- Up to 50% lower operating costs
That translates to higher underwriting capacity, faster time-to-market, and stronger working capital.
Built for underwriters
Genpact states the suite was developed with underwriters in mind-speeding quotes, improving broker engagement, and lifting submission-to-bind ratios. Controls for observability, auditing, and roles give teams clear traceability across complex workflows.
Part of a broader agentic AI portfolio
The launch sits inside Genpact's Service-as-Agentic-Solutions portfolio, backed by more than 1,000 domain-specific AI models and an expanding ecosystem of partners and capabilities.
Practical next steps
- Identify lines with high submission volume and heavy manual intake (e.g., E&S, mid-market, specialty)
- Map your pre-bind workflow (submission capture, triage, clearance, appetite, quote) and define target SLAs
- Standardize intake templates and broker data requirements to maximize touchless rates
- Set guardrails: role-based access, audit policies, and exception routing
- Run a controlled pilot with a subset of brokers and a single product to prove time-to-quote and bind-rate lift
- Integrate with policy admin, data providers, and broker portals for end-to-end flow
Upskill your team
If you're building an AI-ready underwriting operation, consider focused training for your analysts, ops leads, and product owners: AI courses by job.