We sit with the people doing the work — then change one workflow with them.
No course, no slide deck. Short interviews with the people who run the work. A map of the workflow, its handoffs and the tools it touches. A decision about what to change and what to leave alone. Then a hands-on session that changes one workflow with the team — measured against where you started.
The method
Three moves: see it, change it, prove it
The same three moves on every engagement, whatever the workflow. Each one finishes before the next begins.
See it
See it on your own work
We talk to the people doing the work and map the workflow end to end — the handoffs, the re-typing, the tools it touches. Then we show AI doing that work, inside your systems, on your real documents. Not a demo: the job somebody in the room does every week.
Change it
Change one workflow, with the team
Hands-on with the people who run it, and a named owner who keeps it running after we leave. They learn to see where AI fits their work and where it does not — and to keep their own judgment in the loop instead of handing it over. What is not worth changing, we say so and leave alone.
Prove it
Prove it against the starting point
We time the work before anyone touches it. We time it again afterwards, the same way, and write the comparison down — in hours. That before-and-after is the only kind of result we publish.
The journey
The path, one step at a time
A single climb, not a menu — each step scopes and funds the next. The paid entry door is the audit; nothing else starts until it has.
Step 1 · The paid entry door
AI Workflow Audit
We interview the people doing the work, map the workflows and the handoffs inside them, and measure what your AI and SaaS licences are actually used for. You get a Workflow & Usage Report: what you pay for and don’t use — licences and hours — as a hard number, plus the EU AI Act Article 4 AI-literacy chapter. This is what everything else is built on.
Step 2
AI Enablement Map
A prioritized roadmap: which workflow changes first, which stays exactly as it is, what to cancel, and where the hours come back soonest. What the audit recovers funds the climb from here.
Step 3
Enablement Workshops
Role-based sessions on your own workflows — your documents, your systems, your week. Your people see AI do the work first, then rebuild their own workflow with us in the room. This is how we deliver the empowerment: relief for your team, not another mandate.
Step 4
Enablement Program
On a retainer we keep it alive: train your own champions, take the next workflow, scale to the next team, and put the hours on paper every quarter. You stay because AI changes fast — not because you are locked in.
Step 5 · Top of the ladder
Automation
Once the change has held for a month and the numbers say it earned it, we build the automation that takes the remaining manual work off the week — or teach your champions to build it. It is the last stage, never the first.
Self-financing: what the audit recovers — idle licences and hours alike — funds the work that follows. The fix pays for itself before it reaches the next step.
The order is the discipline
- The audit always comes first — it decides which workflow to change, and it sets the before-number.
- No workshops or program without an audit; no automation before enablement is working.
- The audit fee credits toward the program. Land small, grow the account.
The relationship
Two parts to how we work
First we make you independent. Then we stay only because it keeps paying back.
Part 1
We make you self-sufficient
Audit → enablement map → hands-on sessions on your real workflows → your own champions trained to run it. Your team owns the day-to-day, including the judgment about where AI belongs and where it does not — we do not lock you in.
Part 2
We stay as your strategic AI architect
On a retainer, we keep it alive: take the next workflow, scale to the next team, and put the hours on paper every quarter. You keep us because AI changes fast — not because you are trapped.
What you keep
What you walk away with
Every step leaves something in your hands — deliverables you own, not a dependency.
A Workflow & Usage Report
A hard number your board can see: what you pay for and don’t use, licences and hours alike, and what to do about each.
A map of your workflows
Which workflow changes first, which stays as it is, and what each one is worth in hours — the prioritized plan, yours to keep.
Your own trained champions
People inside your team who can run the next workflow without us — the referral engine and the safeguard against lock-in.
An auditable AI-literacy foundation
The EU AI Act Article 4 groundwork, built through the audit and workshops. We build the foundation; we do not give the compliance advice.
How we prove it
Every number named — not just totalled
An hour handed back and a piece of work you could never do before are both worth something — but they are not the same kind of value. So every number in your report is tagged to the kind of value it is, and the math behind it is one line you can check yourself.
Five kinds of value
Efficiency
The same work, done in fewer hours and for less spend.
Work you could not do before
A capability your team simply did not have until now — the value pure cost-cutting never shows.
Productivity
More from the team you already have — or the hours handed back to your people as reclaimed time.
Solution cost
What the change and the tools behind it actually cost to run — stated in the open, netted against the gains.
Performance
And it keeps holding — measured every quarter, not promised once and forgotten.
The math, in one line
Hours the work no longer takes × your loaded rate + the licences we cancel − what our work costs = your net benefit, and how fast it pays back.
You always see which euros are hard (cancelled licences) and which are soft (recovered hours). Nothing hidden, nothing you cannot check.
Start here
Start with one workflow
Bring the one your team dreads. Thirty minutes, no slides — or two minutes with the Self-Check if you would rather start from the number.
- You own everything we build
- Vendor-neutral — no lock-in
- Senior-led — no juniors
- EU AI Act Article 4 foundation