The operating answer
Before funding AI, define the outcome, process boundary, owner, baseline, evidence, alternative interventions, risk limits, and scale decision. Technology selection should be the result of this work, not its starting assumption.
01
Why task improvement is not process improvement
Map the actual trigger, steps, handoffs, decisions, systems, exceptions, and endpoint. Compare the documented procedure with observable work and identify where local improvement could create a downstream queue or control failure.
The practical question is not whether a technology can produce an impressive output. It is whether the complete system improves the defined work under real conditions without shifting unacceptable cost, risk, or workload elsewhere.
02
The seven-question decision standard
Turn the idea into a decision artifact with verified facts, explicit assumptions, unresolved unknowns, accountable owners, acceptance limits, and a review date. A precise-looking answer with weak evidence is less useful than a bounded conclusion with visible uncertainty.
The practical question is not whether a technology can produce an impressive output. It is whether the complete system improves the defined work under real conditions without shifting unacceptable cost, risk, or workload elsewhere.
03
A practical intervention hierarchy
Turn the idea into a decision artifact with verified facts, explicit assumptions, unresolved unknowns, accountable owners, acceptance limits, and a review date. A precise-looking answer with weak evidence is less useful than a bounded conclusion with visible uncertainty.
The practical question is not whether a technology can produce an impressive output. It is whether the complete system improves the defined work under real conditions without shifting unacceptable cost, risk, or workload elsewhere.
04
What a decision-ready pilot charter contains
Turn the idea into a decision artifact with verified facts, explicit assumptions, unresolved unknowns, accountable owners, acceptance limits, and a review date. A precise-looking answer with weak evidence is less useful than a bounded conclusion with visible uncertainty.
The practical question is not whether a technology can produce an impressive output. It is whether the complete system improves the defined work under real conditions without shifting unacceptable cost, risk, or workload elsewhere.
Questions to take into the next decision
- What process and business outcome are in scope?
- Which facts are verified and which assumptions still control the result?
- What is the simplest credible comparator?
- Which failure is unacceptable even if the average result is strong?
- Who owns operation, risk, approval, monitoring, and shutdown?
- What evidence would make us scale, revise, defer, replace, or stop?
