Improvement that reconciles.
The specialist path. Pair your CI method with the AI’s ranking and verification — from a dollar-ranked backlog to a root cause, an experiment, and a savings number your controller will sign.
Built for the CI Specialist.
Quality engineers, Six Sigma belts, and continuous-improvement specialists driving measurable improvement with AI.
Comfort with OEE/TEEP and a CI method (Kaizen, DMAIC, or equivalent). The OEE & TEEP guide in Resources is a good primer.
What you'll learn.
By the end of this path, you'll be able to:
Turn the Six Big Losses into an AI-ranked improvement backlog ordered by dollar and confidence
Reach a verified root cause faster using cross-line, cross-shift correlation
Frame a Kaizen / DMAIC improvement as a before/after the platform can measure
Read the verified-savings ledger — baseline normalization, confidence weighting, audit trail
Standardize a verified win and roll it across lines and facilities
Stress-test an AI recommendation and keep human judgment in the loop
The modules.
6 self-paced modules · ≈2 hr 22 min total.
Mapping every loss to a factor and letting the AI rank the backlog by dollar and confidence.
Using cross-line correlation to reach a verified root cause faster than a manual fishbone.
Framing a Kaizen / DMAIC improvement as a measurable before/after the platform can verify.
Reading the ledger: baseline normalization, confidence weighting, and what finance will sign.
Turning a verified fix into a standard and rolling it across lines and plants.
Stress-testing a recommendation, spotting spurious correlation, and keeping a human in the loop.
What you earn.
The course is free. Certification — the applied assessment and the verifiable credential — is the only paid step: a one-time charge for a credential valid 2 years.
How it's assessed
A defended improvement case against a simulated multi-line plant: build a dollar-and-confidence-ranked backlog from the Six Big Losses, isolate a root cause via cross-line correlation, frame and run a Kaizen/DMAIC before/after, reconcile the result on the verified-savings ledger, then defend the case live — including where you overruled a flawed AI recommendation.
2 attempts included; a fresh randomized dataset on retake, after a 14-day cooldown.
What's tested
- Translating the Six Big Losses into an AI-ranked backlog and selecting the right target by dollar and confidence
- Reaching a defensible root cause and distinguishing a real driver from spurious correlation
- Reconciling a Kaizen/DMAIC before/after on the verified-savings ledger to a finance-signable number
- Stress-testing an AI recommendation and showing where human judgment overrode it
Every credential carries a unique ID and a shareable badge — verifiable by anyone, no login, valid for 24 months.
Answers, up front.
Does this replace my Six Sigma or Kaizen training?
No — it amplifies it. The path teaches how to drive your existing method with AI ranking and end it with a finance-verified number, not just a slide.
How is the AI kept honest?
An entire module covers stress-testing recommendations and spotting spurious correlation — keeping human judgment firmly in the loop is part of the credential.
What do I earn?
The KaizenFlow AI Certified CI Specialist credential.
Make every win verifiable.
Start the CI Specialist path, or talk to us about certifying your improvement team.