AI Readiness & Strategy
Know exactly where AI pays off, before you spend a cent building.
A fast, structured assessment that scores every AI opportunity in your business by ROI and feasibility, surfaces the data and workflow gaps that quietly sink projects, and hands you a prioritized roadmap with a clear first win.
- A ranked shortlist of AI use cases scored by value × feasibility
- A clear first project with an ROI model and success metric
- An honest read on the data & readiness gaps to fix first
- →Workflow & data-readiness audit across your key teams
- →Scored opportunity matrix (value vs. feasibility)
- →Prioritized 6–12 month roadmap
- →Business case for the first build
Discover
Interviews and workflow mapping with the teams doing the work.
Score
Every opportunity rated on value, feasibility, data readiness and risk.
Prioritize
A roadmap sequenced for fast wins that build momentum.
Why most AI strategies stall before they start
The pressure to 'do something with AI' rarely comes with a map of where it actually pays off. So teams either freeze, waiting for certainty that never arrives, or they chase the loudest demo and build a pilot that quietly dies before it reaches production. Both failures share a root cause: nobody scored the opportunities against real value and real feasibility before committing budget. The interesting-looking use case and the profitable one are almost never the same thing, and you can't tell them apart from a vendor pitch.
The other silent killer is readiness. An automation is only as good as the data and the workflow underneath it, and most projects discover the gaps the expensive way, halfway through a build, when it turns out the source data is inconsistent or the process everyone described on a whiteboard isn't the one the team actually follows. A strategy that skips this audit isn't a strategy; it's a wish list. We'd rather surface the awkward truths in week one than let them sink a build in month three.
What the assessment actually does
We start with the people doing the work. Short interviews and workflow mapping across your key teams tell us where the repetitive, high-volume, pattern-following work lives, the kind AI is genuinely good at, and where judgement, relationships, or edge cases mean a human should stay in the loop. From that we build a longlist of candidate use cases grounded in your operation, not a generic industry template.
Then we score. Every opportunity is rated on value (the money or hours it frees), feasibility (how hard it is to build and integrate with your stack), data readiness (whether the inputs exist and are clean enough), and risk. Those scores plot onto a value-versus-feasibility matrix so the quick wins and the long bets are obvious at a glance. We sequence the winners into a prioritized 6 to 12 month roadmap that front-loads fast, momentum-building wins, and we write a proper business case for the very first build so you can decide with an ROI model in front of you.
What makes our read honest, and what you keep
We're an implementation studio, not a slide factory, so our incentive is to recommend the thing that will actually work and that we'd be happy to build. That means we will tell you when a use case isn't worth automating yet, when your data needs cleaning before anything else, or when a simple checklist beats a model. An assessment that only ever says 'yes, build everything' is a sales document, not advice.
You own the output outright. You walk away with the scored opportunity matrix, the readiness audit, the roadmap, and the first-build business case as documents your team can act on, whether you build with us, build in-house, or sit on it for a quarter. There's no obligation to proceed and no lock-in. Everything we'd later build runs in your own accounts on tools like n8n, Make, or Zapier plus custom code and LLMs such as Claude or GPT, so the strategy points at systems you'll control, not a black box you rent from us.
Who it's for, and when to skip it
This is for leaders under real pressure to have a defensible AI plan: someone who has to answer to a board or a boss and wants a ranked shortlist and a quick win rather than a vague vision deck. It's especially valuable if you're staring at a dozen possible use cases and can't tell which one to fund first, or if past AI experiments fizzled and you need to understand why before spending again.
It's the wrong call if you already know exactly which workflow you want automated and just need it built; in that case, skip straight to AI Agents & Automation or Copilots and we'll scope the build directly. It's also premature if there's no appetite to act on the findings, an assessment that goes in a drawer helps no one. The whole point is to turn 'we should do AI' into a costed, sequenced plan you can start on Monday.
Questions we hear before the first call
How long does the assessment take?+
Typically a couple of weeks end to end, depending on how many teams we interview and how accessible your data is. It's deliberately fast: the goal is a decision, not a research project. You get a clear read and a roadmap without tying up your organisation for a quarter.
What do we need to prepare?+
Access to the people who run the workflows and a rough sense of your systems. You don't need clean data or documentation ready; finding the gaps in exactly those places is part of what you're paying for. We work with what you have and tell you what's missing.
What if the honest answer is 'don't build anything yet'?+
Then that's what we'll tell you, and we'll explain what to fix first, usually data or process, so a later build actually lands. That answer alone often saves far more than the assessment costs. We'd rather keep your trust than sell you a project that fails.
Are we obligated to build with you afterwards?+
No. The roadmap and business case are yours to act on however you like, in-house, with us, or later. There's no lock-in and no retainer attached. If we do build, everything runs in your own accounts and tools so you keep full control.
Find out where AI actually pays off for you
Tell us a bit about your business. We'll come back within one business day with a short, honest read on the highest-ROI AI opportunities we see, and whether it's even worth starting yet.