Engagements

2–4 weeks · fixed scope · fixed price  

Where your AI demand actually is, what your data and governance can support today, and which use cases are ready to move.  

You get: 

• A demand map across functions, scored and prioritized 

• A readiness gap list — data, governance, skills, tooling 

• A costed roadmap with sequencing and decision gates 

• A written recommendation, including "not yet" if that's the answer  

Built for: CIOs, CAIOs, CDOs, and heads of AI strategy who have pilots running and need to know which ones deserve production budget.

6–10 weeks · scoped after assessment

The machinery that decides whether AI ships — demand pipeline, governance path, literacy tracks, partner bench — stood up as one system and handed over running, not documented.

Scope could include the following:

• An executive AI decision board: membership, charter, cadence, and decision rights

• A responsible-AI and acceptable-use framework mapped to the mandates you're actually subject to

• A prioritized AI portfolio with funding gates, sequencing, and a named owner per initiative

• A vetted partner bench matched to your use cases, with build/buy/customize/co-develop criteria

• A champions network and AI-operations community, staffed and meeting

• The KPI set your program will be judged on — instrumented and baselined before we leave

Built for: enterprises with executive sponsorship and budget already in place, where the question is no longer whether to invest in AI but how to run it as a portfolio instead of a scatter of pilots.

Monthly retainer · three-month minimum

Senior AI leadership without the search, the package, or the ramp. We run the operating model, chair the board, and hand it over as your team grows into it.

You get:

• A named senior leader in the seat — not a rotating team, and not a junior proxy

• Portfolio management: intake, prioritization, funding gates, and the kill decisions nobody wants to make

• Governance stewardship as regulation, tooling, and your own risk posture change

• An escalation path for stalled initiatives, with the standing to unstick them

• Board- and executive-ready reporting on adoption, pilot-to-production conversion, and ROI

• A written handover plan from month one, naming the internal successors we're training

Built for: organizations that need a Chief AI Officer's judgment now but aren't ready to hire one permanently — or that have the headcount approved and need the function running while they search.

Cohort-based · 6–12 weeks per track · scoped per organization

Adoption is a people problem before it's a technology problem. Most AI programs are staffed as engineering efforts and fail as change efforts — this is the part that changes what people actually do on a Tuesday.

You get:

• A literacy baseline, benchmarked by industry, job function, and use case

• Three tracks — AI for Employees, Leaders, Builders — built around your workflows, not generic curriculum

• Role-level use-case libraries using the tools you already license

• Hackathons and applied sessions that produce working artifacts, not certificates

• A standing AI-operations community, with your own facilitators trained to run it

• Behavior-change measurement: what people do differently, not seat counts or course completions

Built for: CIOs, CHROs, and heads of transformation watching adoption stall after a tool rollout — or preparing the workforce before the tools land.

The operating-model work grew out of two decades of product and platform leadership, and we still take selective product engagements — fractional CPO, product operating model design, roadmap and portfolio work, and lifecycle governance — usually where an AI program has exposed a product organization that can't absorb it.

→ Get in touch to discuss scope

Schedule 1:1 collaborative time for strategic planning, problem-solving, ideation, mentoring, training or whatever is top of mind. 

All services access our collaborative network of thought leadership, experts, and applied GenAI workflow, virtual, synchronous productivity to create value on-demand and cost-effective.