AwardBase

AI

Models draft and suggest. People decide.

Every serious funding decision in this product requires a human. That is not caution about model quality — it is that accountability for a funding decision cannot be delegated to something that cannot be accountable.

The boundary, as the system enforces it

  • A model can never perform an act that commits the organisation: approving, certifying, submitting, awarding, attesting or waiving. This is enforced in the domain layer, not by policy.
  • A model-produced claim carries the epistemic state "Predicted" and can never be recorded as "Known". Observation is what makes something Known.
  • Model output is never a basis for a consequential act. It can inform the person who performs one.
  • Anything a model generates for a document is assembled from facts a person already approved.

Ask AwardBase and the Agent Observatory

  • Ask AwardBase

    Planned

    Ask questions about your funding position in ordinary language, answered from your own records with the citations attached.

  • Agent Observatory

    Planned

    A record of what every agent did, what it was authorised to do, and what it produced.

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