Automation & AI
Automate what wastes time first, then apply AI where it creates real value.
Automation of your repetitive processes and AI applied to concrete cases: document extraction, classification and analysis, always in service of a measurable time gain.
The need
Hours lost every week on data entry, copy-paste and manual checks, plus generic AI promises that do not match your real processes.
What we build
Automated workflows
The repetitive steps of your processes executed without manual intervention.
Document generation
Quotes, reports and letters produced automatically from your data.
Tool synchronization
Your software connected together: no more double entry.
APIs and connectors
Reliable bridges between your internal and external systems.
Data extraction
Key information extracted automatically from your business documents.
Classification and analysis
Sorting, categorization and assisted analysis of document volumes.
Assisted generation
AI-prepared content validated by a human, where the case fits.
Approach
- 01
First identify the tasks that truly cost time, with numbers.
- 02
Automate the deterministic before introducing AI.
- 03
Use AI only where it is measurably better than a simple rule.
- 04
Keep human control over decisions that commit the company.
Engineering
- Supervised automations: logs, alerts and error recovery.
- Data processing designed for confidentiality: your documents do not travel anywhere.
- Robust integrations with your existing tools rather than a forced replacement.
Node.js · TypeScript · APIs · OCR · LLM
FAQ
Do we have to change our current tools?
Rarely. The default approach is to connect and automate around your existing tools, not replace everything.
Is AI mandatory in these projects?
No. Many gains come from simple, deterministic automations. AI is added only if it brings measurable value to your case.
What happens to our data?
It stays under your control. Processing is designed to limit transfers, and any use of an external service is explicit and validated with you.