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See the Difference

Same work. Progress based on evidence.

Pick who does the work. Each example shows how it often runs today, how it could run with HubCop's proposed approach, and a measure a pilot could test. These are illustrative, not customer results.

Examples by who does the work

An AI agent saying a task is done would not be enough. Records from other systems would need to confirm it first.

How an AI agent's action would be checked

Conceptual, in development. The systems shown are planned, not live.

  1. 1. AI agent requests action

    The agent reports its work as done.

  2. 2. Independent evidence checked

    Records from other systems confirm the result. The agent's own report is not evidence.

  3. 3. Authority and freshness checked

    Was the agent allowed to act? Is the evidence current?

  4. Then one of two things:

    • Verified actions advance

      Qualifying actions move quickly, without a manual queue.

    • Exception isolated

      That item waits or goes to a person. Other work is not blocked.

Illustrative examples. Example data; outcomes are potential, not measured.

Featured examples

  • Today
    An AI agent marks a customer identity check as complete and the account opens.
    With HubCop (proposed)
    The account opening waits until the identity provider's record confirms the check for that customer.
    Potential business outcome
    Fewer accounts opened on unconfirmed checks.
    KPI a pilot could measure
    Share of openings with confirmed identity evidence

Try it: should this payment be released?

Conceptual only. Example data; no real payment system is connected.

An AI agent reports an invoice as ready to pay. Choose the state of the evidence:

PROCEED

The goods receipt is on record and current. Payment release would be permitted.