New playbook: when your own AI model pays. Read
Citigroup (banking) reported this on 13 Oct 2026 in earnings call (source). It belongs to the agents, traceability and evals layer.
A structural-efficiency programme over 100+ end-to-end processes reviewed every week, with savings from automation and AI.
Q3 2026 expenses $14B; efficiency ratio 58.5%; CEO says about 100 of the most manual processes have been or are being reengineered end to end with AI and automation.
The number covers company-wide; savings; attributed separately to AI is not reported.
“…the 100+ end-to-end processes that we have looked at. We review those every week,” Citigroup said.
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).