New playbook: when your own AI model pays. Read
Stripe (payments, about 8,000 employees) reported this on 26 Jun 2026 in company self-report (source). It belongs to the agents, traceability and evals layer.
An agent system for financial-compliance investigations that breaks each review into a graph of small, pre-tested sub-tasks, quality-tests each, constrains agents with rails, and hands findings to human reviewers who decide.
26% reduction in median review handling time, with over 96% helpfulness rating from reviewers.
The number covers compliance review queue; humans retain decision authority on every case.
“…building rails to constrain agents to the bite-sized review areas where they can be successful,” Stripe said.
Agents run only on vetted questions whose quality was measured; every tool output must be logged as an observation; full audit trails meeting examination standards; human reviewers decide.
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).
$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).