New playbook: when your own AI model pays. Read
Foundation Risk Partners (insurance brokerage, 3,000+ employees) reported this on 3 Aug 2026 in company self-report (source). It belongs to the agents, traceability and evals layer.
Two agentic systems built on a cleaned proprietary policy-level dataset: one runs new-client policy processing, the other automates human-intensive policy checking; delivered by a seven-person team with Version 1.
New-client policy processing cycle cut 94%; close rates doubled; 120 bps EBITDA margin uplift worth USD 10M; first use case went from concept to production in 14 weeks.
The number covers FRP-wide EBITDA effect of the two agentic solutions; cycle-time figure is new-client policy processing.
Each agent has one narrow task, a named owner and an action log.
Read the guide to agents, traceability and evals.
12,500
banker hours saved in the first month of operation, July 2026
Five specialist agents on Amazon Bedrock AgentCore that classify and read payslips and bank statements, run serviceability calculations and verify them against lending policy, then hand the banker a result to review for mortgage and credit-card applications (source).
2–3 minutes
per ocean or air freight quote, down from one to three days
Hundreds of in-house AI agents embedded across the shipment lifecycle (quoting, orders, appointments, missed-pickup checks) and now ocean and air quoting, ocean booking and customs brokerage, built and run under a lean waste-removal discipline by 450+ in-house engineers and data scientists (source).
80%
less manual submission triage time
An agentic intake platform that reads broker submissions, digitises them and triages risks into a decision-ready workflow for underwriters across more than 20 countries (source).