Software Copilot
The AI brain of your software. Your users talk to it in natural language — it understands context, reasons, and executes actions in your system. No more navigating through 4 menus to create an invoice or find information.
Create a 1,500EUR invoice for client Nexal, due in 30 days
→ Searching for client Nexal... — Client found (ID: 2847)
→ Calculating 20% VAT... — Net: 1,250EUR, VAT: 250EUR, Total: 1,500EUR
→ Creating invoice... — Invoice F-2026-0847 created
Invoice F-2026-0847 created for Nexal.
Amount: 1,500EUR incl. tax - Due: May 30, 2026.
Before
😤 8 clicks x 15 times/day for a simple action
After
⚡ "Create this invoice" → done
Observation
The problem
Your users are on ChatGPT because your software doesn't speak their language. They copy-paste data into an external LLM, lose context, and come back to perform actions manually.
Every day, they waste time on repetitive actions that the software should simplify. The potential is there, but the interface doesn't keep up.
Product
How it works
01
The user speaks
Natural language command, text or voice. No training required.
02
The copilot reasons
Breaks down the intent, plans actions, calls your system's APIs.
03
The software executes
Real actions in your system, instant results. The user validates.
+1h/day
Saved per user
100%
Features accessible in natural language
Weeks
Deployment to production
Case study
Deployed at Societe.com and OOTI — conversational agent integrated in production. Users interact with the software in natural language.
# Technology
ReAct reasoning
MCP servers (Model Context Protocol)
Online learning
Integration example
The Rakam Copilot integrated into Dolibarr
Here is a real example of the Copilot integrated into Dolibarr, an open-source ERP. The side panel allows users to ask questions and execute actions in natural language, directly from their usual interface.
Give your software a voice
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