34+
Years of Experience
40%+
Fortune 100 clients
60k+
Students Trained
9
SAFe Fellows & SPCTs
A Senior SPCT Who Already Knows Where AI Fits
This is a senior SPCT-level practitioner with deep mastery of SAFe, Lean Portfolio Management, and the Hyperadaptive Model. They specialize in embedding AI tools, decision intelligence, and agentic capabilities directly into ART cadences, PI Planning, and system demos, without disrupting the rhythms your teams already run on.
Expected Results
Faster Flow
Measurable acceleration of flow and decision quality inside your current SAFe structures.
Higher PI Predictability
Fewer surprises at Program Increment boundaries.
Internal Capability
Sustained coaching capability that stays after the engagement.
A Real Roadmap
A clear path from pilot to AI-native ARTs, not just a recommendation.
The Problems This Role Solves
- AI initiatives running in parallel to, or colliding with, established Agile practices.
- Inconsistent adoption across trains.
- Lost predictability when teams experiment with generative or agentic AI.
- No clear link between AI experiments and PI objectives or OKRs.
Depth of Expertise
Deep mastery of SAFe, Lean Portfolio Management, and the Hyperadaptive Model, paired with hands-on experience embedding AI and agentic capability into live ART cadences.
The Same Coaches Who've Guided 40% of the Fortune 100
This role isn't filled by a generalist learning SAFe and AI at the same time as your teams. It's filled by a practitioner who has already done this work at scale.
Talk to This CoachWhere to Go From Here
Readiness Assessment
Haven't baselined your AI maturity yet? Start with the introductory assessment.
See the AssessmentValue Stream Optimization Consultant
Pair this coach with a consultant focused on end-to-end flow.
See the RoleFrequently Asked Questions
This coach holds senior SPCT-level credentials specifically paired with hands-on AI implementation experience inside SAFe. They aren't learning SAFe and AI at the same time as your teams. They have already embedded AI into ART cadences, PI Planning, and system demos elsewhere.
No. The goal is embedding AI tools and agentic capabilities into your current rhythms, not replacing them. Teams keep their existing PI Planning and system demo structure; the coach works inside it.
Higher PI predictability, measurable acceleration of flow and decision quality inside your current SAFe structures, and sustained internal coaching capability once the engagement ends, not just a slide deck of recommendations.
It varies by scope, but most engagements run long enough to move a train from pilot experimentation to a documented, repeatable roadmap toward AI-native ARTs, typically spanning multiple Program Increments.