Measure AI value at the level of work
Move AI evaluation from usage and generated output to the performance of the complete workflow.
How roles, ownership, management routines, and reliable work support a business that can scale.
Move AI evaluation from usage and generated output to the performance of the complete workflow.
Use end-to-end work and feedback to move beyond a departmental explanation of recurring problems.
Build operational readiness into acceptance so delivered work can become dependable everyday practice.
Treat employee capability and workload as part of the design of change, from the first proposal onward.
Connect project investment with adoption, operating decisions, and evidence of realised value.
Use business criticality, recoverability, and operating capacity to guide infrastructure investment.
Repeated reconciliation is a signal to examine ownership, definitions, and the architecture behind the work.
What leading a struggling operation taught me about the conditions people need to succeed.