Has the work been measured end to end?
Include edge cases, quality, throughput, escalation, and the work people do between documented steps.
Before AI changes the team, test the decision.
Pressure-test measured task performance, operating safeguards, and fully loaded economics. The result is not permission to lay people off. It is a clearer standard for what must be proven first.
Start assessment
Measured workHuman accountabilityFull-cost economicsPilot before permanence
Measured workHuman accountabilityFull-cost economicsPilot before permanence
Decision input
Three checks. One evidence trail.
Score what is known today, not what a vendor deck promises. Use a lower score when evidence is partial, safeguards are informal, or a cost is missing.
Can the system fail without harming the business?
Count monitoring, fallback paths, security controls, review queues, and recovery under real operating load.
Who owns judgment, exceptions, and consequences?
Score named ownership, decision rights, customer recourse, auditability, and the people required to supervise the system.
Load the real economics
Compare the current team cost with the program cost, including the human oversight, transition work, and failure exposure that optimistic models often omit.
Pause staffing changes
The economic case is positive, but Accountability is below the evidence threshold. Close that gap and run a monitored pilot before making a permanent staffing decision.
Readiness55%
Weakest checkAccountability
Current baseline$1,440,000
AI program cost$1,070,000
Net opportunity$370,000
Planning horizon12 mo
Evidence standard
What a defensible case contains.
A score should point to observable proof. These prompts turn a vague AI claim into a reviewable operating record.
Measured work
Prove the system can handle the whole job, not a polished slice.
- Representative workload
- Quality and escalation rates
- Hidden coordination work
Safe operation
Show how the organization detects and recovers from failure.
- Monitoring and rollback
- Security and privacy review
- Human fallback capacity
Real economics
Include every cost needed to keep the system useful and accountable.
- Transition and integration
- Ongoing expert oversight
- Expected failure exposure
“A model result is not an operating model.”
Evidence over enthusiasm
Separate a successful AI demonstration from the full system of measurement, accountability, and recovery required to run the work.
Make the evidence portable before the decision becomes permanent.
Your memo captures the assumptions, math, weakest check, and next actions in a format a leadership team can review together.