Find the first workflow. Then expand with a pod — not with a portfolio of demos.
The AI Opportunity Assessment sets baseline, business case, and First Success Candidate. The AI Transformation Pod then expands AI-native operations across workflows, functions, and units.
Discover before scale. Production before the next function.
The Assessment is seven to ten business days: interviews, current-state map, volumes, systems, exceptions, economic baseline, and a prioritization matrix. It is the entry point — not a standing diagnostic product.
The pod pairs an AI Transformation Strategist with a Forward-Deployed AI Engineer. New workflows reuse skills and integrations. Autonomy rises only where risk and evidence allow.
What strategy actually delivers.
AI Opportunity Assessment
Work, baseline, opportunity, business case, and the priority workflow.
First Success Candidate
Impact, feasibility, and expansion potential in one cut.
Transformation Roadmap
Order of workflows, not a catalogue of tools.
AI Transformation Pod
Standing capacity to ship the next workflows on the OS.
Reuse discipline
Each new workflow should inherit library assets.
Executive cadence
Sponsorship, risk, and operations review expansion — not a shadow IT program.
The first decision is which workflow to put into production.
Assessment, then Sprint, then the pod if expansion is the goal.