New playbook: when your own AI model pays. Read
Bank of America (banking) reported this on 14 Oct 2026 in earnings call (source). It belongs to the agents, traceability and evals layer.
AI-enabled tools for clients and employees (Erica, a Gen AI prospecting and onboarding tool launched in September 2026), with AI project spend rising from about $250–300M this year to about $700M next year.
CEO says AI makes the bank's ~$4B-a-year technology development work 10% more efficient ('next year, we get 10% more work for the same cost'); client-facing production staff rising while managers are cut.
The number covers company-wide, Q3 2026 call.
“…development of technology, which is $4 billion and change a year, we're 10% more efficient. So next year, we get 10% more work for the same cost,” Bank of America said.
Each agent has one narrow task, a named owner and an action log.
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).