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Two numbers, never one: measuring an agent like a fraud rule

One accuracy number hides the thing that will get your project cancelled.

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Accurate at what?

Almost every agent project we are asked to look at reports a single figure. It is 94% accurate. If that missing 6% is 1% real problems missed and 5% good cases bounced to a human for no reason, you have built a machine that creates five times more work than it removes. Your ops team will stop using it within a quarter and they will not tell you why.

  • Miss rate: real problems the agent let through.

  • Over-flag rate: good cases it wrongly stopped or escalated.

  • The two carry different prices. Always.

How fraud teams report it

A fraud rule ships with both numbers, measured against a labelled holdout set, and a budget for each agreed with the business side. Breach the budget and someone with a name is accountable. We report agents exactly the same way, weekly, and the process owner sees both lines.


The business owner signs off on both thresholds before launch, not after the first complaint.

The business owner signs off on both thresholds before launch, not after the first complaint.

The business owner signs off on both thresholds before launch, not after the first complaint.

Setting the thresholds

Start from cost. What does a wrong yes cost in money? What does a wrong no cost? For invoice posting a wrong yes is a mis-posting that is caught at month end. A wrong no is a supplier paid late. For KYC the prices flip. The thresholds follow the prices, not a round number.

What changes in the build

The confidence gate becomes three-way instead of two. The exception queue gets a reason code so you can see which error type is growing. The weekly report has two lines and a trend. None of this is expensive. All of it is skipped by teams measuring one number.


We suspect this is the unglamorous truth behind the 40% cancellation forecast. Not that the models are bad. That nobody decided which kind of wrong was acceptable.
We suspect this is the unglamorous truth behind the 40% cancellation forecast. Not that the models are bad. That nobody decided which kind of wrong was acceptable.
We suspect this is the unglamorous truth behind the 40% cancellation forecast. Not that the models are bad. That nobody decided which kind of wrong was acceptable.

If your dashboard shows one accuracy figure, ask for the other one. The answer will tell you a lot.

Frequently asked questions

Questions We Get Asked

Straight answers on what we build, how it is measured, and what it costs.

What kind of agents do you build?

Task-focused agents for document and data workflows, reconciliation, onboarding checks and back-office operations. Each one owns a single process end to end and routes uncertain cases to a person.

How is this different from a chatbot or RPA?

Where does it run?

Where are you based?

How do I get started?

Which industries do you work in?

Frequently asked questions

Questions We Get Asked

Straight answers on what we build, how it is measured, and what it costs.

What kind of agents do you build?

Task-focused agents for document and data workflows, reconciliation, onboarding checks and back-office operations. Each one owns a single process end to end and routes uncertain cases to a person.

How is this different from a chatbot or RPA?

Where does it run?

Where are you based?

How do I get started?

Which industries do you work in?

Frequently asked questions

Questions We Get Asked

Straight answers on what we build, how it is measured, and what it costs.

What kind of agents do you build?

Task-focused agents for document and data workflows, reconciliation, onboarding checks and back-office operations. Each one owns a single process end to end and routes uncertain cases to a person.

How is this different from a chatbot or RPA?

Where does it run?

Where are you based?

How do I get started?

Which industries do you work in?

AI AGENTS THAT SURVIVE PRODUCTION

Got a Process an Agent Could Own?

Tell us what it is. We will tell you straight whether it is worth building.

AI AGENTS THAT SURVIVE PRODUCTION

Got a Process an Agent Could Own?

Tell us what it is. We will tell you straight whether it is worth building.

AI AGENTS THAT SURVIVE PRODUCTION

Got a Process an Agent Could Own?

Tell us what it is. We will tell you straight whether it is worth building.