New playbook: when your own AI model pays. Read
Westpac (banking) reported this on 5 Aug 2026 in company self-report (source). It belongs to the agents, traceability and evals layer.
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.
12,500 banker hours saved in the first month of operation, July 2026, annualised at 150,000 hours (AFR, 5 August 2026).
The number covers lending assessment work across mortgage and credit-card applications; first month of operation.
Specialist agents each handle one step (bank-statement scrutiny, payslip extraction, policy verification); a verification agent checks payslip details against policy and required calculations; the banker reviews the output and continues the application.
Each agent has one narrow task, a named owner and an action log.
Read the guide to agents, traceability and evals.
$10M
EBITDA uplift from two agent systems, Partners Group says
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 (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).