An execution-ready AI plan, scoped to what you're actually trying to answer. Single-domain focus or whole-org strategy. Written by engineers who ship, not consultants who advise.
If any of these sound familiar, AI Strategy is built for you.
You ran AI experiments. They worked in a notebook. None of them reached production with real users.
Different teams using different AI tools. No shared model, no governance, no plan. Cost climbing without coherent value.
You see the upside. AI as a real competitive edge: more innovation, faster delivery, things your competitors can't yet do. You just don't have a clear path from that ambition to what to build first.
Twenty AI use cases on a backlog and no rigorous way to know which one moves the business and which is theater.
You're using LLMs but don't have a clear picture of model risk, data exposure, or what governance you'd need under EU AI Act.
For your highest-priority system you need a concrete architecture, not vendor pitches. What to build, what to buy, what to integrate.
You walk out with a clear answer: what AI to build first, what to wait on, and what to skip entirely. Concrete enough to act on, not just discuss.
Where you are today: existing AI tooling, who is using what, where it works, where it's stuck. Honest read on what's blocking production: data, infra, governance, skills, or strategy.
What to build, in what order, with what to expect. Each item scoped enough to be a real engineering decision, not a slogan. Items we recommend killing are listed with the reason.
For the highest-priority system on the plan: a concrete architecture you could hand to an engineering team and start building. Build vs buy decisions, integration points, infra, models. The kind of document we would write internally before shipping.
Every model in scope, what it touches, what could go wrong. Designed to give your CFO, legal, and risk team a clear answer when they ask "what AI are we running and what's the exposure".
Single domain or whole-org strategy. The four modes overlap and revisit each other as understanding deepens. First priorities move into build while we keep mapping the rest.
Stakeholder interviews. Tooling walkthrough. Document review. We get specific about scope and what you actually want answered.
Map current state. Identify blockers. Build the model risk inventory. Sync to validate findings before we move into design.
Build the prioritized plan. Draft the reference architecture. Review with your engineering and product people. For larger scope, first priorities can move into build here in parallel.
Plan delivered. 90-minute walkthrough with leadership. Q&A session with your engineering team. You leave ready to act.
The brief is a working document, not slideware. Three things make it different.
The same engineers who ship AI for our clients write your brief. The architecture is something we would actually build, not slideware.
Roughly 30% of engagements end with a "don't build" recommendation on the largest item. Sometimes a workflow change beats AI. We say so.
Detailed enough for engineering to start building from on day one. Same document covers strategy, architecture, and risk in language each audience cares about.
Companies that have started with AI but feel stuck. You have pilots that didn't reach production, scattered tools, or you want a real competitive edge from AI and don't have a clear answer on what to build next.
An execution-ready plan: current-state diagnostic, prioritized roadmap scoped to your time horizon, reference architecture for the highest-priority system, and a model risk inventory. Concrete enough to act on from day one, not just discuss.
We are engineers who ship AI in production for our clients. The reference architecture is something we would actually build, not slideware. If we recommend you don't build, we say so. Roughly 30% of engagements end with a "no, not yet" conclusion on the largest item.
Up to you. The deliverables are yours and can be implemented internally or with another partner. Many clients continue with us into implementation since we already understand the context, but there is no obligation.
Roughly 4-6 hours of stakeholder interviews per phase, plus access to relevant documentation and current AI tooling. We work async between sessions and synthesize as we go.
Yes. Single-domain engagements move quickly. Whole-org AI strategy or multi-system reviews run longer, in phases. We don't make you wait for one big deck. First priorities move into build while we keep mapping the rest, so you start seeing value early.
30-minute call. We'll tell you whether AI Strategy makes sense for your situation, scope it concretely, and send a proposal. Honest answer either way.