AI Strategy

AI strategy and consulting that starts with honest answers.

Not sure where AI actually fits your business? We assess your data, workflows, and goals, then map the highest-ROI opportunities and hand you a costed roadmap. Sometimes the honest answer is a small automation. Sometimes it's not worth it yet. We'll tell you either way.

Overview

What we actually build

There's a lot of pressure to adopt AI and a lot of ways to waste money doing it. The businesses that get real value start by figuring out where AI genuinely helps, rather than building something because the technology is exciting.

Our strategy work is a clear-eyed assessment. We look at your actual workflows, the state and accessibility of your data, and your business goals, then identify where AI would move a real metric and where it wouldn't. You get a prioritized list of opportunities ranked by impact and effort, with honest cost and timeline estimates.

We're an engineering studio, not a slide factory, so our recommendations are grounded in what's actually buildable and what it really costs. If the highest-value move is a simple automation rather than a flagship AI product, we'll say so. And if AI isn't worth it for you yet, we'll tell you that too, because a roadmap you can trust is worth more than one that flatters the idea.

Capabilities

What's included

Opportunity mapping

We identify where AI would move a real business metric, and rank opportunities by impact against effort.

Data readiness review

An honest assessment of whether your data is ready to support the AI you're considering, and what to fix first.

Build vs. buy analysis

For each opportunity, whether to build custom, adopt an existing tool, or wait, with the reasoning.

Costed roadmap

A prioritized plan with realistic cost and timeline estimates, so you can budget and sequence with confidence.

Risk assessment

Where the real risks are, technical, operational, and around data privacy, and how to manage them.

Proof-of-concept scoping

If an opportunity is promising, we scope a focused proof of concept to validate it before a full build.

How we deliver

From first call to production

01

Discovery

We learn your business, workflows, and goals through focused sessions with the people who know the work.

02

Assess

We evaluate your data, systems, and processes to see what AI can realistically support today.

03

Map & prioritize

We identify and rank opportunities by ROI, with build-vs-buy calls and honest cost estimates.

04

Roadmap

You get a clear, costed plan and, where it makes sense, a scoped proof of concept to start with.

Why it matters

The impact you can expect

0%
honest recommendations
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clear roadmap
0
wasted builds
0 wk
typical turnaround
FAQ

Common questions

What if you conclude we don't need AI?

Then we'll tell you plainly, and explain why. We'd rather give you an honest answer than sell a project that won't pay off. Often the highest-value move is a small, targeted automation rather than a big AI initiative, and we'll point you there.

How is this different from a big consultancy?

We're the engineers who'd actually build it, so our recommendations are grounded in what's really buildable and what it truly costs, not a generic deck. You get practical, costed advice, not a strategy that ignores implementation reality.

What do we get at the end?

A prioritized roadmap of AI opportunities ranked by impact and effort, with build-vs-buy guidance, realistic cost and timeline estimates, a data-readiness view, and a risk assessment. Where it makes sense, a scoped proof of concept to start.

How long does it take?

A focused strategy engagement typically takes about two weeks, depending on the size of your business and the number of workflows involved.

Start a build

Ready to scope your project?

  • Free 30-min scoping call
  • Prototype in days
  • No lock-in — you own the code