For the AI Transformation Lead
Prove the use case. Or kill it. Before the capital moves.
Strategy-as-Code software. Deterministic arithmetic engines replace multi-week/month qualitative consulting. Prove or kill a venture hypothesis before risk capital is committed.
You were hired to pick, govern, and adopt GenAI use cases. Not to train models. Not to ship a deck.
Question the requirement
Does this use case deserve to exist?
Before you pick a GenAI use case, prove a real economic gap exists. With math. Not a competitor slide.
Analogies answer what worked for someone else. The question is what is physically and economically possible here. If the gap is not real, do not fund the model.
Delete theater
The board needs a kill, not a deck.
Traditional strategy consulting spends $150K–$500K+ over 6–12 weeks on narrative recommendations that cannot be mathematically falsified. Quality depends on who is in the room. Capital deploys as a lump-sum bet.
The alternative is half a day of initial analysis plus one week of validation-oriented work. A decision. Not a costume for the same retainer.
Simplify what remains
If the gap is ~1.0, the engine stops.
Physics Gap = current fully-loaded cost ÷ physics floor (compute, energy, materials, mandated validation). When the ratio is about 1.0, the market is already efficient. There is no story that resurrects it.
When the ratio is a multiple, the gap is dollars, not slides. Documented example: PE operational monitoring at $26,321 per portfolio company per year against a $4,200 physics floor — 6.3×. That is honesty, not a pitch for your vertical.
Accelerate the option
Buy the next gate. Not a five-year forecast.
Stop forcing a 5-year ROI on products that do not exist. Only incremental ideas survive that spreadsheet. Exploration is not execution.
Buy the right — not the obligation — to deploy the next tranche: Explore, then Validate, then Execute. Or kill. Typical cycle: half a day plus one week, against 6–12 weeks of theater.
Automate the arithmetic
The mechanic is the product.
Deterministic arithmetic engines prove or kill the hypothesis. An unconstrained chatbot that writes strategy narratives is not the product. The consultant is not the product.
Determinism lives in the arithmetic, not in the model. A named owner still sits at the gate. A partner team does not.
Govern before you adopt
Name the owner, the gate, and the kill rule first.
If no one can kill the use case on Monday, you do not have an operating model. You have a rollout.
Owner. Go / no-go. Kill rule. Then adopt. Not the other way around.
Adoption is not the value case
Faster is not adopted. Installed is not a value case.
A use case that makes the team faster and leaves the economic gap untouched has not been adopted. It has been installed.
Score the gap. Locate the pain. Name the mechanic to test first. Validate with real users before production code. If the ratio is about 1.0, stop.
Do not automate the undeleted process
Delete the requirement. Then automate what is left.
Automating an undeleted process produces expensive mediocrity at higher speed. Copying a competitor’s path copies their waste.
Disruption is not a vibe. It is a shape — structural moves that change what the work is allowed to cost. Test the mechanic. Then automate.
Working session
Bring the use case. Leave with a go, a no-go, or a kill.
Fifteen minutes if the hypothesis is already sharp. Longer if it is not. No deck. No theater.