The capability and its beneficiary
Operations and decision teams in institutions.
The current limit
Knowledge is scattered; evidence and decision rights get lost between tools.
The hypothesis to test
A bounded AI workflow with explicit sources and human checkpoints can reduce decision preparation time without reducing evidence quality.
Stage gates
- Frame: confirm the user, baseline, access and intended capability.
- Prove: run the smallest meaningful test with pre-agreed measures.
- Pilot: test in the intended operating context with an accountable owner.
- Transition: accept evidence, operating responsibilities and rollback arrangements.
Proposed evaluation
Proposed test: compare 30 non-sensitive cases against the current process. Measure preparation time, unsupported claims, reviewer corrections and unauthorized actions. Targets are agreed before testing.
Stop or change direction
Stop if the system cannot trace a material claim to evidence or performs an action outside its permission boundary.
Who will operate the capability?
A named process owner accepts the workflow, permission matrix, evaluation set and manual fallback before live use.
The team to assemble
- A program manager accountable for the capability and its evidence.
- A domain specialist, technical builder and independent reviewer.
- A beneficiary representative who can define and accept real operating value.
Could you contribute to this capability?
Prepare a note explaining your hypothesis, contribution and first test.
Prepare a concept note