We help you decide what to build, and in what order.
This is for you if...
Everyone on your team has a different opinion on where to start with AI, and none of them agree.
You have run pilots. None of them made it to production or moved a real metric.
You are worried your competitors are making smarter bets while you are still figuring it out.
You could spend the next 18 months building the wrong thing. You cannot afford that.
A clear view of how AI initiatives (could) move the key metrics in your business.
We typically map your KPI tree (or build one if you don't have it) to potential AI initiatives, so that you can ensure that they align to your business strategy and goals.
A single list with every AI idea anyone in your business has proposed, scored on its potential impact and what it costs to build.
We build this list with you, and assign an impact score and a build-effort score to every item, plus rough cost and expected return. This will help you prioritise specific initiatives in line with your operational constraints.
The state of the building blocks that each initiative needs before it can work: data, integrations, process, people.
AI needs specific foundations to work effectively, and we map your current standing on those. This will help you build working systems, instead of running in circles for months.
What to build, in what order, and why that order.
We break the work down into epics with a rough effort estimate and a timing window on each. The reasoning behind the order is written next to it, and the dependencies each epic clears are named. This plan can be implemented by any engineering team, internal or external.
How to re-run the ranking yourself in three months, when the list has changed and/or some of the assumptions no longer hold.
A short document covering the questions to work through and who needs to be in the room. It includes how to score a new idea against the ones already ranked, and what can be considered as a reason to re-sequence.
From a decade of data to a place to start
Digital agency, $10M+ revenue, 100+ people
A digital agency with $10M+ in annual revenue, over 100 people and a decade of operational data wanted to move fast on AI, adding new revenue-generating services and cutting overhead. With everything on the table, they had no clear starting point. We ran workshops to map the biggest opportunities, prioritised the initiatives and built a sequenced plan with a clear first move. The first pilot ran in 4 weeks.
Start with a free call. From there we either run a full value iteration on your stack and hand you the plan, or we stay on as your fractional CTO for data and AI.
Free, 30 minutes
Bring one thing that's stuck. We tell you what's wrong with it and what to do first.
Book a checkpointScoped engagement, one-off
We analyse your whole stack and build a pragmatic plan: what's broken, what to fix first, and who should own it. Your team or any vendor you hire can run it.
Ongoing, fractional
We work with you a few hours a week on what moves the strategy: prioritisation, vendor calls, architecture decisions and hiring.
A prioritised build order: a sequenced list of AI investments ranked by business impact and implementation effort. Each item is scoped so you can hand it directly to a technical team. No slide decks, no generic frameworks.
We evaluate each use case against two things: how much it moves a meaningful business metric, and how hard it is to implement reliably. The ones that score well on both go first. Everything else waits.
Tools fail when they are deployed without the right data, process, or integration underneath them. A strategy identifies those gaps before you build, so you stop repeating the same pilot cycle.
Typically 3 to 4 weeks. Discovery in week one, use-case mapping in week two, and the sequenced plan in weeks three and four.
No. The output is designed to be handed to technical resources once the plan is agreed. You do not need engineers in the room to figure out what to build.