Industry Solutions
AI Systems for
AI strategy consulting that decides what to build, what to skip, and how to ship it fast without lighting money on fire. Architecture-first engagements that move in weeks, not quarters. For companies tired of AI demos and ready for AI systems.
The Problem
Most AI Strategy Decks Cost Six Figures and Ship Nothing
If your AI strategy ends with a slide deck and a roadmap, you bought a deliverable, not a strategy. The right strategy ends with a working system in production and a clear path to the next one.
Vendor-Driven Roadmaps
Big-firm AI strategy is mostly vendor influence — Microsoft pushes Azure, IBM pushes Watson, Accenture pushes whatever it has consultants trained on. The technology choice should follow the problem, not the relationship.
No Technical Reality Check
Strategists who have never shipped an AI system underestimate what is hard (data, evals, latency, cost) and overestimate what models can do. By the time engineering pushes back, the budget is approved and the deadline is fixed.
Strategy Disconnected from Build
A 60-page strategy hand-off from a team that never builds is a recipe for shelfware. The strategy should come from the people who would build it — or with them, in the room.
How We Solve It
Strategy Engagements That End With a Working System
We do strategy as practitioners, not consultants. The output is a working architecture, a scoped MVP, and an opinionated next step — not a deck.
Inventory the AI ideas floating in your org. Score each on impact, feasibility, data readiness, and time-to-value. Kill the ones that look good in a deck but die in production. Pick the 1-3 that are worth real money and real engineering.
For each prioritized use case: a written technical architecture, a build-vs-buy recommendation, a vendor short-list (or none), data and integration requirements, and an honest cost-to-build estimate.
A scoped MVP plan: scope, success metrics, timeline, team, and budget. Optionally, we build the pilot ourselves on the back of the strategy engagement — no handoff loss, no rebuilding the context. Most clients pick this path.
How it works
How the engagement is structured
2-Week Strategy Sprint
Strategy ships fast. Most engagements wrap in 1-2 weeks of focused work and produce a written architecture document, a prioritized build queue, and a scoped proposal for the pilot — so the build can start the week after. No multi-month consulting cycles, no PowerPoint-driven decision-making.
Strategy sprint length
FAQ
Common Questions
We are practitioners, not analysts. The team scoping your strategy is the same team that would build it — so the architecture is grounded in what actually ships in production, not what looks good on a slide. Our deliverable is a working plan and often a working pilot built on top of that plan, with weekly demos throughout. Big 4 deliverables are slide decks handed off to a different team for execution, on a quarters-not-weeks timeline. Both approaches have a place. A Big 4 engagement is the right call when you need political cover for a board-level transformation decision and you have months to spend. We are the right call when you want to be in production this quarter, you want the people scoping the work to be the people who own it, and you want the deliverable to be a system that runs — not a document that explains what one would look like if you built it.
A working architecture, not a deck. The deliverables from a focused strategy sprint are: a written scoping document covering the workflows in scope and out of scope, a prioritized opportunity map with each use case rated on impact, feasibility, data readiness, and time-to-value, recommended technical architecture diagrams for the top one to three use cases, a build-vs-buy recommendation for each (with named vendor short-lists where buy is the answer), the named team roles and the named tools or frameworks we would use, a week-by-week roadmap to the first production pilot, and a scoped pilot proposal you can take to any competent engineering team. What you explicitly do not get: a 50-page slide deck full of generic AI-transformation language, vendor-driven recommendations, or boilerplate sections copied from the consulting firm's last engagement. Every page in the deliverable is about your business, your data, and your decision.
Do strategy first when you have multiple competing AI ideas, an unclear data landscape, or a board asking 'what is our AI strategy.' Skip it when the use case is obvious, the data is in good shape, and you just want to ship. We will tell you which one your situation is on the free initial call.
Yes — the deliverable is technology- and team-neutral by design. You can take the architecture and pilot plan to any competent AI engineering team. Most clients do choose to build with us because the context handoff is free, but it is not required.
Most of our strategy clients are non-technical founders, ops leaders, and executives. We translate between AI/engineering reality and business outcomes. You will see plain-English trade-off conversations and concrete timeline estimates — not architecture diagrams that need explaining.
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See How We Can Help You
Let's talk about what's slowing down your ai strategy & consulting workflowand where AI can make the biggest impact. Free strategy call, no pitch deck.