Extreme MVP

A 10-day sprint to make one AI decision fundable, governable, and reversible.

Teams are already paying for delay, drift, and premature commitment. Extreme MVP turns one unstable AI or operational question into a decision that can be owned, trusted, and acted on before capital hardens around the wrong system.

What you leave with

  • one owner
  • one trusted signal set
  • one bounded path
  • one commit / test / stop outcome

Choose your version

Industrial AI / OEE
Enterprise AI Workflows
Discuss the sprint

Doing nothing is not neutral.

Delay already has a cost.
So does drift.
So does committing too early.

When ownership is unclear, signals are weak, and infrastructure conversations start before the loop is ready, teams lose time, capital, and confidence.

Extreme MVP is built to stop that.

A sprint for commitment, not concepting

Most sprints help teams explore ideas.

Extreme MVP helps teams decide what deserves commitment.

It is not a sprint toward a prototype.
It is a sprint toward a governed next move.

What happens in 10 days

From ambiguity to one decision that can be owned, trusted, and acted on.

1. Lock the decision

Define the issue, the owner, and the exposure.

You leave with:

  • one named owner

  • one real decision loop

  • one KPI / exposure frame

2. Compress the signal

Strip out noise and isolate the few signals that matter.

You leave with:

  • one trusted signal set

  • bounded decision options

  • early proof conditions

3. Decide the path

Test reversibility and define the next move.

You leave with:

  • Commit / Test / Stop logic

  • one bounded pilot or no-go path

  • one written decision record

What every Extreme MVP must produce

  • One accountable human

  • One trusted signal set

  • One bounded path

  • One commit / test / stop outcome

If conditions are missing, the commitment stops..

That is the discipline.

Industrial AI / OEE

A 10-day structural reset for throughput, downtime, scrap, and operational continuity.

The problem

The loss is visible.
Throughput drag is visible.
Downtime is visible.
Scrap is visible.

But the response is still inconsistent.

That is not a data problem.
It is a control problem.

In 10 days, we

  • lock authority

  • compress the signal

  • stress-test reversibility

What you’re buying

Not more visibility.
Not more pilots.
Not more tech.

You are buying:

  • one owner

  • one trusted signal set

  • one bounded commit / test / stop outcome

Why it works

No committee drift.
No dashboard inflation.
No capital commitment before the loop is clear.

It protects:

  • throughput

  • recovery logic

  • exposure discipline

  • operational continuity

A better operating decision comes first. The system comes later.

Discuss the sprint

Enterprise AI Workflows

A 10-day decision filter for fragmented initiatives, workflow bottlenecks, and premature infrastructure choices

The problem

AI activity is visible.
Ownership is not.
Roadmaps expand.
Infrastructure gets discussed before the decision is clear.

That is not a strategy gap.
It is a decision failure.

In 10 days, we

  • lock the loop

  • compress the signal

  • determine the path

What you’re buying

Not another strategy deck.
Not more demos.
Not innovation theater.

You are buying:

  • one owned workflow

  • one trusted signal set

  • one bounded commit / test / stop outcome

Why it works

No roadmap inflation.
No premature infrastructure choices.
No capital commitment before the loop is clear.

It reduces:

  • fragmented initiatives

  • governance exposure

  • ownership ambiguity

  • workflow drift

A better decision comes first. The system comes later.

Discuss the sprint

What this Sprint is not

  • Not generic AI strategy

  • Not a trend workshop

  • Not a vendor bake-off

  • Not open-ended discovery

  • Not a promise that more infrastructure is always the answer

It is a 10-day decision filter before capital hardens.

Typical outcomes

Commit / Test now

The loop is clear.
The owner exists.
The signal is trusted.
A bounded pilot can proceed.

Diagnose first

The issue is real.
But the signal, authority, or operating conditions are still weak.

Probe. Find the bottleneck and identify barriers for change.

Stop

No real owner.
No trusted signal.
No bounded path.

A better decision is the goal — not more possibilities.

MOST AI INITIATIVES FAIL HERE.

MISALIGNMENT. SKILL GAP. NO OWNER. NO LOOP.

Define the decision before the architecture defines you

If the issue is real, the exposure is measurable, and the next move is still unclear, Extreme MVP is the place to start.

Clarity before scale. Decision before deployment. Stop before drift.

Discuss the sprint