New playbook: when your own AI model pays. Read

Genpact: 50%+ of revenue no longer tied to headcount

Genpact (business process services) reported this on 6 Oct 2026 in company self-report (source). It belongs to the agents, traceability and evals layer.

What they built

Agentic delivery for back-office processes such as accounts payable, sold as fixed-fee, usage-based and outcome-based contracts.

The result

Over 50% of revenue now de-linked from headcount; offers to take invoice processing from $5 to a guaranteed $3 per invoice.

The number covers company revenue mix per its global agentic AI officer (ET interview, Oct 2026) and an illustrative AP offer.

“…your invoice processing is currently running at $5 per invoice; we will guarantee a $3 one,” Genpact said.

The layer: agents, traceability and evals

Each agent has one narrow task, a named owner and an action log.

  • Agents with one narrow job and an identity
  • A trace of every tool call and decision
  • Eval sets that gate every change

Read the guide to agents, traceability and evals.

Playbooks that use this case

More cases on 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).

We map how your company runs, pick the first processes with your leadership team, and put them on agents.