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03 · Watch

Evidence your agents do the job right.

How often every agent gets your work right, measured by your rules, for your team, your board and your auditors.

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Invoice matching agent · last 30 daysSAMPLE
  • Work done right97.8%
  • Planted errors caught19 of 20
  • Rules broken0
  • Sent to a person2.1%
  • Time saved31 hrs / week
Graded from outside the agent4,906 tasks
Independent

Nothing grades itself.

A separate grader scores every answer against a key the agent never sees.

Your agent Grader Answer keyHIDDEN FROM AGENT
Beyond AIUC-1

AIUC-1 is the floor. Watch goes further.

Watch maps to all six AIUC-1 areas, then measures what a general standard cannot: how well your agents do your work.

AIUC-1Watch
What it checksGeneral controls for any AI systemYour specific jobs, case by case
TestsA shared standardDomain tests and evals built from your own past work
Grader honesty—Planted errors, to prove the grader catches mistakes
MethodA checklistMeasurement developed with the San Diego Supercomputer Center
How oftenAt review timeEvery task, every day
What the evidence unlocks

Use it to move faster, safely.

The same evidence answers your team, your board and your next model.

01Unlock autonomy

Let agents run on their own job by job, as the numbers earn it, and pull it back if they slip.

02Show your board and auditors it’s working

A clear record of accuracy, rules kept and time saved, mapped to AIUC-1.

03Train your own model

Every graded task becomes training data in your Context, for a model that does your work your way.

Next in the loop04Learn →Turn evidence into the next change.
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See the loop on your work.

Thirty minutes with Jack or Bill, our founders, on the workflow you would run first.

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