of AI initiatives never deliver business value, and it is almost never the technology that fails. The gap is focus and capability. Focus comes first, then one thing that works gets built, and the team is left able to run it.
MIT Sloan and BCG
One method. Three stages.
From "where does AI even fit" to working systems you own. Seven steps, the Seven Ds, each stage building on the last.
Assess
- Discover, an honest baseline
- Diagnose, score and rank
- Decide, pick the one bet
Train and Hack
- Define, workshops and a hackathon
Build
- Design, build it end to end
- Deploy, test and measure
- Deliver, roadmap and handover
Everyone starts with Assess.
Assess is the way in. From there you decide whether to add Train and Hack, then Build. Each step opens the door to the next, and each runs to its own timeframe.
All three stages, one engagement.
Assess, train and build across seven weeks. You finish with working workflows, a capability programme and a 12-month roadmap in your leadership's hands. The version that changes how the business works.
Three things that move the numbers, in one method.
Free, self-serve training
Builds awareness, not capability. The team learns what AI is, then goes back to the old way. Most courses are never finished.
Build-only agencies
Ship you a tool, but if the team cannot run it or does not trust it, it gets quietly dropped. An asset only pays back if people use it.
Big consultancies
Enterprise frameworks and enterprise pricing, sold by a partner and delivered by juniors. The economics rarely work for a growing business.
Find where AI pays back, train the people to use it, and build the workflows the business owns. The same senior person scopes the work and runs it. No handover to a junior, no tool without the team to run it.
Fractional, full-time or agency.
There are three ways to get AI capability into a business. Each fits a different stage. Here is where the fractional route earns its place.
Fractional
- One senior person scopes the work and runs it, no handover to a junior.
- Paced to fit a growing business, weeks not quarters.
- Leaves the team able to run and extend what gets built.
Full-time hire
- The right call once the workload is proven and constant.
- A long search and a salaried commitment before any value lands.
- Capability sits with one person, and walks out with them.
Agency
- Good at shipping a tool, less so at the change around it.
- Knowledge stays with the agency, not your team.
- The asset stalls when the contract ends and no one owns it.
Positioning, not a price list. The right fit gets set in the scoping call.
Built on real work, not theory.
A proven AI engagement built and run for business-wide operational efficiency. The method, the workshops and the capability framework all come from a structured programme, tailored to your business and processes.
Support teams using an AI assistant became 14% more productive, and 34% for less-experienced staff. AI lifts the floor fastest.
Professionals on writing tasks worked 40% faster with 18% higher quality.
Consultants using AI worked 25% faster at 40% higher quality, on the right tasks.
What you are left with.
- An honest map of where AI fits across the business.
- Working workflows, built and tested, with the impact measured.
- A capability framework with a next step for every person.
- A 12-month AI roadmap and a simple governance playbook.
A team of ten each saving thirty minutes a day is over a thousand hours back in a year. Good workflows cover their own cost many times over.
Illustrative. Your real numbers get set in the scoping call.
Before the scoping call.
Where does this start
Everyone starts with Assess. It produces an honest map of where AI pays back and ranks the bets, so the first build is the right one. From there you decide whether to add Train and Hack, then Build.
Does the team end up able to run this without outside help
Yes. Capability is the point, not a side effect. The workshops and hackathon leave the team using the tools, and the build is handed over with a roadmap and a simple governance playbook so it keeps running.
What if AI turns out not to pay back in our business
Assess is built to find that out early and cheaply. If a workflow does not earn its place, it does not get built. An honest no on a bad bet is worth more than a tool no one uses.
How is this different from sending people on an AI course
Courses build awareness, then people go back to the old way. This finds where AI fits in your actual work, trains the team on that, and builds the workflows the business owns. Capability and a working system, not a certificate.
AI is one point of the triangle. Joined by strategy, it compounds the others.
Find your first AI win.
Share where the business is now and get a clear read on where AI pays back. No jargon, no hype, no commitment.