The definition
Why agent costs surprise teams
A chat tool costs roughly what people type into it. An agent can decide to run many steps, call other tools and try again, all without a person. Each step costs money. A small mistake in a loop can become a large bill.
40%+
of agentic AI projects predicted to be canceled by the end of 2027, citing cost, unclear value and weak risk controls.
Source: Gartner, June 2025
Five controls
- A budget per team or purpose. Decide what AI work may cost for a month.
- A limit that acts. At the limit, the system should warn, ask for approval or stop. A report after the fact is too late.
- Cost recorded for each action. Then any charge can be explained line by line.
- A stable unit. Model prices change often. A fixed internal unit helps finance plan.
- A stop. A person can pause all AI work if costs run away.
What limits can do
| At the limit | Effect |
|---|---|
| Warn | People are told, work continues |
| Ask | Work waits for a named approver |
| Stop | The request is blocked and the run fails with a clear message |
Choose per team. A pilot may warn. A production workflow may stop.
What to ask a vendor
- Can I set a limit before work starts?
- Is cost shown per action, not only per month?
- What happens at the limit?
- Can overage be switched off?
- Can I explain any charge on an invoice?
How MFDIO applies this today
MFDIO measures AI work in Work Units, one meter a business can plan with, while the provider cost is tracked underneath.
- Today: metering in Work Units, limits per organization that warn, ask or stop, cost shown for each AI request or run, and an Emergency Stop. Overage is off by default.
- Roadmap: real payments for plans in production.
Pricing is on request: see pricing.
Questions people ask
Is this the same as cloud cost management? They are related. Agent cost governance adds action-level limits and approval inside the same record as what the agent did.
Who owns AI spend? Usually finance and operations together, with the owner of each agent.
Limits of this guide
This guide is general information and not legal advice. MFDIO is in invite-only early access and is pre-revenue. MFDIO does not hold SOC 2 or ISO 27001 today. Market figures are analyst or survey estimates and vary between sources.
Sources
- Gartner, June 2025: over 40% of agentic AI projects predicted to be canceled by the end of 2027, citing cost, unclear value and weak risk controls
- MFDIO product facts: checked against /platform/work-units and /status on 5 October 2026
Published . Last updated . Written by the MFDIO team.