New playbook: when your own AI model pays. Read
Tata Consultancy Services (it services) reported this on 13 Jul 2026 in company self-report (source). It belongs to the agents, traceability and evals layer.
~2,500 AI agents delivering client solutions plus ~10x as many employee-built productivity agents; goal of as many agents as employees within three years.
Commits to specific productivity gains in IT contracts (e.g., 15%); many GBS deals already outcome-based.
The number covers interview with CEO; audited productivity figure is not reported.
“…no longer be a linear relationship between the volume of work we deliver and the number of people we employ,” Tata Consultancy Services 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).