Outcome pricing is where this lands. Per ticket resolved. Per email answered without escalation. Per invoice posted. Per qualified lead. The unit is a thing the buyer already counts.
What this means if you run agents inside your business
If you are a small operator running agents to do real work, you should already know two numbers per agent:
- Cost per run (tokens, tool calls, infra, every dollar that moves).
- Outcome per run (did it close the ticket, post the invoice, write the draft that shipped).
Most teams know neither. They look at the monthly Anthropic or OpenAI bill, swallow hard, and move on. That is paying for vibes.
The fix is boring. Tag every run with the outcome it was trying to produce. Cap the spend per outcome. Kill runs that go over. Report cost per completed goal each week. Once you have that number, you can price your own service on it, defend the price to a customer, and find the agents that quietly burn cash.
What this means if you sell to other companies
Buyers in 2026 will not sign a six-figure contract for "an AI agent that helps with X." They will ask what the unit is, what one unit costs, and what happens when the agent fails.
If you cannot answer those three, your competitor will. The vendors that win through 2027 are the ones who price per outcome, not per seat. With a cap. With a refund or retry on failure.
This is harder. It puts risk on the vendor instead of the buyer. That is the point. The buyer has been eating the risk for two years. The market is correcting.
The honest version
I run a small business and I run agents inside it. I built AgentGuard because I needed a way to know what each agent run was costing me and to stop the ones that blew their budget. It is a Python package. It is open source. It sits between your code and the model and enforces a budget, a token cap, and a rate limit.
If you are running agents in production and you do not have that kind of cap, you are one bad prompt away from a five-figure surprise. The token budget wars are not coming for the big labs first. They are coming for the operators who do not measure.
Try AgentGuard
Originally published on bmdpat.com. I run a one-person AI agent company and write about what actually works.
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