Opportunity mapping
Walk the chosen workflow end-to-end. Surface every step that's repetitive, slow, or low-judgement — the places where AI earns its keep — and the steps where humans must stay.
Hands-on Workshops
Your real workflows,
redesigned live.
A single focused session where your team works on its actual material. You leave with a working prototype, a playbook, and a 30/60/90 adoption plan.
The framework
Six steps.
Your workflow.
You pick a workflow your team actually does — campaign reporting, contract review, candidate screening, monthly reconciliation — and we walk it through these six steps together. You leave with the workflow rebuilt, prompts in hand, and a plan to embed it.
Use case development
Design the AI-assisted version of the workflow. Inputs, outputs, where the model fits, where the human reviews, what the new flow looks like end-to-end.
AI safety
What's safe to put into a public model and what isn't. How to handle confidential data, regulated content, and outputs you can't verify. The team leaves with a written checklist.
Prompt craft
Move past one-shot prompts. Build a small library of prompts the team can reuse on this workflow every week — practiced live on real material.
Tool selection
Decide which tools serve this workflow best — and which add noise. Where possible, we stay inside your existing stack instead of adding new vendors.
Tracking adoption
Set the few signals that tell you whether the new workflow actually stuck — time saved, output quality, team confidence — without survey theatre.
A real example
The marketing team’s
monthly report.
The team picked their slowest recurring task: pulling data from four dashboards, copy-pasting into a deck, writing the narrative by hand. Two days, every month, similar shape. We walked the workflow through all six steps. Here’s what each step looked like.
- 01Opportunity mapping
We walked through the current monthly-report flow — pulling numbers from four dashboards, copying them into slides, then hand-writing the narrative. The narrative was the bottleneck: two days every month, similar shape, and the team's most senior person doing the writing.
- 02Use case development
We designed the new flow: humans still pull the data; AI drafts the narrative against a structured template; the marketing lead reviews, sharpens, and ships. Same outputs, a fraction of the time.
- 03AI safety
We agreed the rules. What's fine for a public model: anonymized performance numbers, generic competitive context. What isn't: client names, internal targets, unreleased creative. The team left with a one-page checklist.
- 04Prompt craft
We built three reusable prompts: one for performance summaries, one for trend narratives, one for stakeholder messaging. The team practiced each on the previous month's real data, refined the wording together, and saved them to a shared library.
- 05Tool selection
For this workflow, Claude handled the narrative (long context, careful tone). The data summarization step stayed in the team's existing BI tool. No new vendors, no new approvals — just better use of what they had.
- 06Tracking adoption
We set two signals: time-to-report (before vs after), and a team confidence score at month one and month three. Six weeks in, the report was taking half a day instead of two. The narrative still sounded like the team — it just wasn't taking the team's time anymore.
6–8hSingle focused session, in-person or live video.
15Maximum group size, so the work stays hands-on.
3×Deliverables — prototype, playbook, 30/60/90 plan.
How it works
Three steps.
No theatre.
- 01
Discovery call
A free 30-minute call to understand your team, the workflows under pressure, and what would make the day worth it.
- 02
Tailored agenda
We pick the modules that match your team and pre-collect the workflows everyone will work on during the session.
- 03
Live session
Six to eight hours, hands-on, with your real material. You leave with a prototype, a playbook, and a 30/60/90 plan.
Format
- Length
- Six to eight hours, single day or split across two.
- Group size
- Up to 15 people for genuine hands-on work.
- Delivery
- In-person or live video.
- Pricing
- From €5,000. Quoted after the discovery call.
Who this is for
You’ll recognize
your team here.
- Department leadswith a team between 8–15 ready to actually change how they work.
- Cross-functional podswhere one shared baseline matters more than individual upskilling.
- Operations teamswith repetitive research, drafting, or analysis that AI can absorb.
- L&D managerswho need a single high-impact intervention instead of a long curriculum.
FAQ
The usual
first questions.
- How long is a workshop?
- Six to eight hours, run as a single full day or split across two half-days.
- How many people can join?
- Up to 15. Past that, the hands-on element gets diluted — we'd suggest a training program instead.
- Remote or in-person?
- Both. In-person where logistics work; live video where they don't. Never pre-recorded.
- Do we use our own workflows?
- Yes — that's the point. We pre-collect material from your team so the day is built around your actual work, not generic exercises.
- What does it cost?
- Workshops start from €5,000. Final pricing depends on prep depth, group size, and travel. Book a call and we'll send a clean proposal.
Next step
Tell us about
your team.
A short call — you describe your team and what’s under pressure. We send a tailored proposal within one business day, or tell you honestly if a workshop isn’t the right intervention.