Dynamic Support
Your documentation is dead. This replaces it. The agent maps your software, your tickets, and your documentation into a living knowledge graph. Your users get an answer in seconds instead of creating a ticket.
How do I configure access rights for a new team member?
→ Searching documentation... — 3 sources found
→ Analyzing user context... — HR module active
→ Building guided response...
To configure access rights:
1. Administration → Users → New
2. Select the permissions profile
3. Check the relevant modules
Before
😤 10 min to find an answer → support ticket
After
⚡ Question → answer in 2 seconds
Observation
The problem
Documentation is always outdated. As soon as a feature evolves, articles become inaccurate. Nobody updates them because it takes too long.
Users create tickets for questions that up-to-date docs would answer. The support team spends its time on level 1 requests instead of focusing on customer relationships.
Product
How it works
01
Automatic mapping
The AI scans your software, your tickets, your existing documentation. Everything is indexed.
02
Living knowledge graph
Updates automatically when the software evolves. Zero manual maintenance.
03
Instant answers
The user asks a question and gets the answer in context. No searching, no waiting.
-60/70%
Support tickets
0h
Documentation maintenance
Auto
Self-repairs and evolves with your software
Case study
Deployed at Lemon Learning, Saiga and Archipelia — -60% support tickets on average. Technology published on ArXiv.
# Technology
Enterprise-specific Graph-RAG
Unique architecture (scientific publication)
Self-repairing knowledge graph
Integration example
Rakam Support integrated into Dolibarr
Dynamic documentation and instant answers integrated directly into the software interface. The user no longer needs to leave their screen to find an answer.
Kill your level 1 tickets
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