The program in numbers
12wks
Kickoff to shipped workflows
~10team
Champions per cohort, each building workflows
8hrs
Advised, per Champion per week
100%
Internally owned, no outside dependency
Get a grip on your AI adoption.
In 12 weeks, we train your AI Champions to identify the highest-ROI use cases, build the workflows, and keep your AI roadmap moving after we leave.
Less AI noise. More useful work.
Internal AI capacity and capabilities that stay after we leave.
AI interest is high. Licenses are paid. But use cases, ownership, ROI, and governance stay unclear, and the value sits hidden in workflows, not in tool seats.
Find your AI value leakageNo generic demos. Champions map AI to the work your business teams actually do.
We start from real workflows, not tooling. Champions surface where AI earns its place, and where it does not.
Documented and repeatable, built to be adopted the week they are handed over. We build the high-impact, low-complexity wins; complex ones go on the roadmap.
A clear read on payback: hours saved, cycles cut, quality gained, value shown to the business in EUR.
Select Champions, map current tools and pain, agree the baselines we measure against.
Map the workflow, design the first working version, set up controlled tool and connector use.
Test on real examples, pass governance review, pilot with a small group of colleagues.
Measure against baseline, demo to management, hand over a 90-day scale roadmap.
Business users get better daily work without needing to become AI experts.
Meeting prep, call summaries, clean CRM notes, faster follow-ups.
Vacancy intake, job ad drafts, onboarding answers, policy lookup.
Variance explanations, faster reporting, fewer manual checks.
Campaign drafts, content repurposing, clearer briefing support.
Draft replies from approved knowledge, faster and on-brand.
Meeting prep, decision logs, action tracking, board pack summaries.
SOP assistant, incident summaries, planning exception notes.
Contract review prep, policy lookup, structured risk notes.
Simple rules, not technical middleware. IT stays the sponsor and governance partner, not the bottleneck.
Model agnostic. Claude, Copilot, ChatGPT, Gemini, or future tools, chosen per workflow.
A clear checklist of what data is used, what is avoided, what needs review.
People stay in control at the points that matter. No silent automation.
Every workflow gets a management call: keep, stop, improve, or scale.
Six weeks in, our own people were running AI workflows we would have waited two quarters and a consultant to get. grip made it our capability, not a vendor's.