What you get
Three concrete deliverables.
Written assessment with named recommendations
Architecture review, AI roadmap critique, or vendor selection — concluding with named technologies, sequenced milestones, and the trade-offs in writing.
Board-ready executive readout
One-hour readout, a slide deck your CEO and CFO can defend, and a written FAQ for the questions the board will ask the day after.
30-day follow-on access
Async questions, sanity checks on RFP responses, and architecture review on net-new proposals — included, not a separate engagement.
How we work
From kickoff to production.
Scoping interview
Two-hour working session with your CTO and the operators closest to the question. We come back with a written scope, a fixed fee, and a delivery date.
Discovery and interviews
Stakeholder interviews, code and architecture review where applicable, and a written gap analysis against the question you actually asked.
Draft and review
Draft assessment shared with your team for factual correction before final. We name names, not categories, and we write the trade-offs down.
Final delivery and readout
Final written deliverable, board-ready deck, and a one-hour readout with your leadership team. Net-thirty payment, no scope creep.
The stack we build on.
Cloud-agnostic. We meet you where your tenant lives.
Outcome metrics
Scoping interview to final readout
Written scope, no hourly creep
Included, not a separate SOW
From the field
One we shipped.
Mid-cap insurer · AI strategy
Independent assessment of a $9M agentic AI build proposed by an incumbent vendor. Recommended a smaller, sequenced alternative the board approved — and saved the client the difference.
Recommended budget reduction
Vs. incumbent proposal
FAQ
Questions buyers ask first.
Will you take on the build after the strategy work?
Is this just a slide-ware engagement?
Who actually does the work?
Can you produce an examiner-ready governance document?
What if we disagree with the assessment?
Related services
What buyers usually pair with this.
AI engineering
The team that ships the production system once the roadmap is set — or the second opinion on the vendor who will.
See the serviceCloud modernization
Replatform plan, target-state architecture, and the engineering team to execute it — separate engagements, sequenced cleanly.
See the serviceData engineering
Data readiness assessment that grounds the AI roadmap in what your platform can actually serve.
See the service