Claude Partner NetworkOfficial Anthropic partnerQuestions from CFOs

How do I calculate the ROI of an AI agent?

Cost, payback, cash and controls. Straight answers, written for executives.

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Short answer

Use your own baseline: hours per month on the process times fully loaded cost, plus the cost of errors, delays and lost revenue today. Subtract the build and run costs and estimate payback in months. Use conservative adoption assumptions and track actuals after go-live.

The longer answer

What to consider.

Count only benefits you can measure from your own systems, such as cost per invoice, DSO, days to close or time to quote.

Model a ramp: the agent starts supervised, so savings grow as autonomy grows.

Set the kill criterion with the same numbers: if the metric does not move by a set date, stop.

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Before the build

Discovery with a written exit

Scope, success metric and kill criterion agreed in writing before any code. If the case doesn't hold up, you stop there.

Before it acts

Shadow mode first

The agent runs next to your team without touching anything. You compare its decisions with your people's before it goes live.

While it runs

Your people approve

Supervised by default: every high-impact action has an approver, an audit trail and a kill switch your business team controls.

Your environment

Your cloud, your data

Deployed in your cloud or an isolated environment, models under no-training terms. AWS and Google Cloud certified partner.

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    Your top 3 agent opportunitiesRanked by payback, with the systems and approvals each one needs.
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