The Evidence Map for Leader Value When AI Execution Gets Cheap
The action layer behind the core verdict: how to turn the briefing into a sponsor-ready decision without overstating the evidence.
Use this as a leadership-attention map before approving AI work. It keeps the conversation on the constraint, metric, owner, boundary, and proof path instead of treating model execution as the whole strategy.
First moves before hiring anyone
Make each packet include problem, metric, task frontier, human and AI boundary, workflow owner, risk owner, and stop rule.
Prioritize turnaround, outage prevention, finance close leakage, procurement bottlenecks, field-documentation quality, or compliance review latency.
Treat model routing as inference economics after the business has chosen the workflow and evidence standard.
Label the work as task-lab evidence, workflow evidence, enterprise-P&L evidence, or unverified.
Ask whether the packet creates a decision a named operator will run weekly and a finance owner can trace to value.
Owner, briefing, proof
Owner
Workflow owner plus finance or operations value owner, not only a model or platform owner.
Briefing
Governed question packet: problem, metric, task frontier, boundary, owner, workflow, evidence standard, and stop rule.
Proof
Evidence-status line plus finance and operations test before the initiative scales.
Start by converting one use case into a governed question packet. If the team cannot name owner, metric, boundary, and stop rule, widen to a readiness look at AI value realization, and build the cadence only when the sponsor wants it run.
Claim ledger
- A field study shows whether pre-build question quality predicts AI ROI beyond model quality and adoption rate.
- A finance-controlled enterprise study shows routing optimization alone creates durable P&L advantage.
- The MIT NANDA 95% figure is officially hosted, replicated, corrected, or retracted.
- RouteLLM or FrugalGPT-style savings collapse as pricing, quality, or reliability shifts.
- NIST, NERC, FERC, or another regulator changes the permission-boundary claims for regulated operations.