40-minute AI opportunity diagnostic · private beta

Find where AI fits in one workflow — before choosing a solution.

Process Optimizer reconstructs one real workflow, separates evidence from assumptions, screens where AI may genuinely help, and prepares the KPI, risk and discovery inputs needed for the next decision.

Request accessSee the deliverables

What you receive

Process Snapshot

The trigger, steps, owners, handoffs, systems, waits, exceptions and material bottlenecks.

Evidence Register

Confirmed facts, estimates, hypotheses and unknowns, each with a source and confidence.

KPI Measurement Plan

Available baselines, missing measures and a practical way to establish before/after evidence.

AI Opportunity Map

Tasks to assist, investigate for automation, keep human, or simplify before using AI.

Risk & Control Register

Failure consequences, sensitive data, controls, human review and escalation ownership.

Next-Stage Brief

A reusable problem statement, scope, constraints, data needs, success criteria and open questions.

How the consultation works

  1. Choose one recurring process and define the outcome.
  2. Replay a recent real case from start to finish.
  3. Separate measured friction, estimates, hypotheses and unknowns.
  4. Screen AI opportunities, risks and the evidence required for the next decision.

A useful answer can be “not yet”

Promising opportunity

There is enough evidence to justify a separate solution-design or pilot Mission.

More evidence needed

The opportunity is plausible, but baseline, data or verification evidence is missing.

Stabilize the process first

Ownership, rules or workflow consistency should be fixed before introducing AI.

Not an AI priority

A simpler policy, process or accountability change is likely the better next step.

Important boundaries

This is a preliminary diagnostic, not solution design. It does not choose a vendor, model or architecture, invent ROI, or casually remove safety, privacy, financial, legal or quality controls.