AI strategy & roadmapping

AI strategy consultingthat ends in shipped systems.

Most AI strategy work ends in a slide deck. Ours ends in a sequenced roadmap your team can execute — the two or three problems where AI actually compounds for your business, in the order to ship them, with the guardrails to ship them safely.

When this is the right move.

01

AI is on the board agenda, but nothing has shipped

Leadership wants a position on AI. You need bets you can defend with numbers, not a list of vendor demos.

02

Pilots everywhere, production nowhere

Teams are experimenting in pockets. Without a strategy, the experiments never converge into infrastructure.

03

Vendor noise is drowning the signal

Every tool claims to be the answer. You need an independent read on what's real for your workflows.

04

You don't know what it's worth

Before committing budget, you want an honest ROI estimate per use case — including the ones not worth doing.

What you walk away with.

Concrete deliverables — not a deck and a goodbye.

Deliverable · 01

Workflow & leverage map

Your operation mapped end-to-end, with every workflow scored for AI leverage, risk, and effort.

Deliverable · 02

Sequenced AI roadmap

What to build, in what order, with what guardrails — tied to outcomes your CFO will recognize.

Deliverable · 03

Honest ROI model

Per-use-case economics: cost to build, cost to run, and the realistic payback window.

Deliverable · 04

Build/buy/wait calls

A clear recommendation per opportunity — including where the right answer is 'not yet'.

How we work, end-to-end.

A four-step path from the first honest audit to embedded.

  1. Step i 01

    Audit

    Two weeks inside your operation. Workflows mapped, leverage points identified, an honest read of what's worth automating.

  2. Step ii 02

    Roadmap

    A sequenced plan: what to build, in what order, with what guardrails. Tied to outcomes you can measure.

  3. Step iii 03

    Build

    We embed and ship. Real agents, real evaluations, real deployments. Code your team owns at the end.

  4. Step iv 04

    Embed

    Hand-off, training, and a 90-day support window. Your team runs the system; we stay reachable.

Common questions.

What does an AI strategy consulting engagement look like?

Two weeks inside your operation. We interview the people doing the work, map the workflows, score them for AI leverage, and come back with a sequenced roadmap and an honest ROI read per opportunity. No generic frameworks — every recommendation is grounded in your actual operation.

How is this different from hiring a big consulting firm?

We're builders who do strategy, not strategists who outsource the build. Every recommendation we make is one we're prepared to implement ourselves — which keeps the roadmap honest and execution-ready.

Do you cover generative AI consulting too?

Yes. Most of the leverage we map today involves generative AI — LLM-powered agents, drafting and synthesis workflows, and retrieval over your own data. The strategy covers the full stack: generative AI use cases, classic automation, and the data foundations both depend on.

What size of company is this for?

Teams from roughly 10 to 500 people — SaaS companies, e-commerce brands, agencies, and professional services firms. Big enough to have real workflows, small enough to move.

What happens after the strategy is done?

You own the roadmap and can execute it with any team. Most clients have us build the first item on it — but that's earned, not assumed.

Other ways we help

Not sure if this is the right starting point?

A 30-minute call. Bring the workflow that's hurting most. We'll tell you, honestly, whether this is the right lever — and where we'd start.