FromAIambition
tooperatingreality.
Most organizations know AI matters. Fewer know where it actually fits, what should be piloted first, and how the operation has to change to make a pilot stick. We design the path from ambition to embedded.
Pilots that never become operational.
We see the same pattern across mid-sized businesses: AI gets piloted, the pilot works, and then it doesn't survive the transition to operations because no one owned the integration, the governance, or the second-year tuning. We design for the survival case, not the demo case.
- Boards asking 'what's our AI strategy' with no clear framework to answer.
- Teams piloting AI in pockets, with no path from pilot to embedded.
- Vendor presentations evaluated without consistent criteria.
- Compliance, risk, and governance figured out reactively, after the pilot.
Adoption roadmaps tied to your operating cadence.
Each engagement leaves behind a phased roadmap, a governance posture, a vendor evaluation framework, and a clear set of decisions — not a deck.
Readiness Assessment
A clear-eyed read on where AI fits, where it doesn't, and where the operation needs to change before any pilot makes sense.
Phased Roadmap
Pilot → operational → embedded. Each phase has entry criteria, exit criteria, and a named owner inside your org.
Vendor Evaluation Framework
Vendor-neutral criteria for picking models, platforms, and partnerships. Reusable for next year's decision too.
Governance Posture
Decision rights, data classification, approval thresholds, audit trail — designed to fit the regulatory environment you operate in.
Operating model first. Pilots second. Vendors third.
We work backward from the operation, not forward from the demo. The first conversation is about how your team works — not which model is hot this quarter.
Operating model audit
How the work actually flows today, and where AI has structural leverage.
Use-case portfolio
Ranked by value, effort, and risk — across all AI categories.
Pilot design
Bounded pilots with explicit success criteria and a path to operational.
Governance design
Decision rights, data posture, approval flow, audit trail.
Vendor framework
Vendor-neutral evaluation criteria, reusable across decisions.
Re-engagement cadence
Every 6–12 months, we revisit against new model capabilities.
Adoption that survives quarterly planning.
We design the engagement to leave behind decisions and frameworks your team can use without us — and a re-engagement rhythm for the next round.
- Roadmap deliverables tied to the existing quarterly planning cadence.
- Governance posture scoped to fit your regulatory environment (HIPAA, GDPR, SOC2, ITAR — whichever applies).
- Each pilot has a named operational owner, not just a sponsor.
- Vendor evaluation framework handed off to your team in a reusable form, not a one-time recommendation.
Tell us where AI is sitting on your desk this quarter.
Whether you are scoping a first pilot, briefing a board, or evaluating a vendor — we will come back with our honest read and the framework to make the decision.