SERVICE — AI ADOPTION
Most AI adoption programmes fail at the same point: the tool gets deployed, the training happens, and then nothing changes. People route around it. We fix that.
THE PROBLEM
Buying an AI tool is easy. Getting an organisation to actually change how it works is hard. The tools are ready. The models are capable. The bottleneck is always the same: nobody has done the serious work of figuring out which processes should change, how they should change, who needs to be convinced, and what success actually looks like.
We’ve seen teams convinced they were using AI productively when they were mostly generating content nobody read and summaries nobody acted on. The technology worked. The adoption didn’t.
Years engineering discipline
Generic AI playbooks used
THE METHODOLOGY
Before recommending anything, we assess what you’re actually doing — which processes exist, which are broken, which ones AI could plausibly help with, and which ones you shouldn’t touch yet.
Who can use AI for what? What data can go into which systems? What needs human review before it leaves the building? These questions need answers before you deploy anything.
Training that goes beyond the basics — specific to your tools, your workflows, and the actual things your people are trying to do. Not a generic AI literacy course.
An honest comparison of what’s available against what you actually need. Not what’s been marketed to you — what fits your workflow, your data, and your risk tolerance.
The workflows that AI actually changes get redesigned — not just augmented. This is where the real productivity gains come from, and it’s the step most adoption programmes skip entirely.
Buying the tool before deciding what problem you’re solving. The tool becomes the objective instead of the means.
Deploying AI across the organisation and then writing the usage policy six months later, usually after something goes wrong.
A workshop, a certification, and then nothing. People go back to what they know because nobody changed the actual workflow.
“Everyone must use AI for X by Q3” creates compliance theatre — people use the tool in ways that look productive and aren’t.
Counting AI interactions, prompts sent, or hours ‘saved’ by a tool that doesn’t measure savings. None of this is a business result.
sarolta
Tell us where you are — what’s been tried, what didn’t work, and what you’re hoping to achieve. You’ll get an honest read on what’s blocking adoption.
