Understand the real work
We start with your weeks, not the market’s models. Which tasks come back, where it rubs, what’s already being tried on the quiet, what leadership thinks teams do with AI — and what they actually do.
Approach
A calm method. Five steps, zero theatre.
We take what works in this niche — diagnostic, training, adoption, governance — and drop what helps nobody: the jargon, the 10× promises, the roadmaps nobody opens again.
Pick what is worth it
Not everything needs AI. We prioritize by impact, frequency, risk, and how easy it is to train. Three good use cases beat fifteen committee ideas.
Train on the job
Workshops run on your documents. We show the move, they do the move, we correct it. Leadership and the floor do not get the same workshop — on purpose.
Write the process
Once a move works, we freeze it enough to hand it over: when you open the tool, what you give it, what you check, what you never delegate. That’s “creating processes” — not a decorative org chart.
Measure, adjust, hand off
Real usage, time recovered, perceived quality, friction. We adjust, then leave internal leads holding the line. Success is when you don’t need us to keep going.
What we refuse
No orphan pilots. No training in a vacuum.
A pilot with no owner dies. So does a workshop with no next day. If the mandate has no internal sponsor and no first process to land in, we’ll say so immediately — before anyone pays.
What you get
- A clear read of your starting point
- A prioritized action plan
- Teams who have practised on their own files
- Playbooks someone else can follow
- A usage frame legal can read without migrating
What you won’t get
- An 80-page report nobody reads
- An “AI vision 2030” detached from this quarter
- Pressure to buy a tool we resell
- Invented statistics to justify the work
We can start with a single process.
Often wiser than a grand program. We’ll tell you which one.