Plans which internal knowledge should become AI-usable first.
The blueprint sorts sources by value, effort and sensitivity and produces an order for an internal knowledge system.
Start Company HackathonWikis, drives, tickets, CRM, proposals.
How often would someone search here?
Flag personal data and confidentiality.
High value, low risk first.
Each source gets three values: value, effort, sensitivity. That yields a starting order and a clear list of what stays out for now.
What you end up with
| Feature | This free tool | Consultant | Doing it yourself |
|---|---|---|---|
| Price | Free | €5,000–20,000 | Weeks of internal work |
| Time to result | Under 20 minutes | 2–6 weeks | Unclear |
| Tailored to your context | Yes, through your inventory | Yes | Partly |
| Usable in the team right away | Yes | After handover | Rarely |
Needs a defensible starting point rather than a wish list.
Looks for the sources that cost time daily.
Wants to see early what is excluded.
01 · Use case
Select first sources for a knowledge system.
02 · Use case
Prepare data before the build starts.
03 · Use case
Derive requirements from real sources.
We run this tool live with your team and turn the result into working prototypes.
Client voices
Short feedback from hackathons with engineering, marketing, operations and leadership teams.
Our engineers built a code-review assistant in two days that the whole team still uses. No training ever did that.
The whole agency was building. Marketers with zero coding background shipped content pipelines that saved real hours.
Procurement workflows that used to sit on a roadmap were prototyped and demoed inside the same week.
Our leadership cohort left with five working agents and a completely different sense of what AI can do for us.
Book a slot
Start with one team. In one week, leave with practical skills, shipped output and momentum. Just pick a free slot below.
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FAQ
Still something open? We clear it up in 20 minutes.