AI where it really matters. With before/after KPIs.
No magic. Concrete use cases on customer care, documents, forecasting and team copilots. Your data stays yours.
When AI stops being a buzzword.
Many PoCs, zero results
AI experiments that never leave the notebook and produce no value in production.
Saturated customer care
Agents flooded by repetitive questions: customers wait, tickets pile up.
Documents read by hand
Invoices, contracts, emails and PDFs extracted and re-entered manually into many systems.
Decisions without forecasting
Stock, maintenance, no-show: you react instead of anticipating.
24/7 customer care that doesn't feel like a bot.
AI assistants on web, app and WhatsApp that read your catalog, the customer's order and your knowledge base. They answer in your tone, escalate when needed, cut first-level tickets by 45%.
- Connected to CRM, e-commerce, business systems
- Configurable tone of voice, languages and fallback
- Smooth handoff to the agent with full context
Invoices, contracts, emails. Read and routed automatically.
AI extracts data from documents, reconciles them with orders and master data, loads them into your ERP. 8× reading speed, fewer errors, full audit trail on every decision.
Anticipate demand. Cut waste and no-shows.
Predictive models trained on your historical data to forecast demand, maintenance, no-shows and churn. Decisions move from reactive to proactive, with accuracy measurable in production.
- Daily forecast delivered in dashboard and via API
- Automatic alerts on significant deviations
- Periodic re-training, drift monitoring included
Copilots that save hours to your team.
Meeting pre-briefs, CRM summaries, suggested next actions, email and proposal generation. AI works alongside people, not instead of them.
Your data stays yours.
Cloud models with no-training agreements, open models in private cloud or on-prem, EU data residency for sensitive data. You always decide where data lives.
What we measure before and after.
Want an AI use case with clear ROI?
A 2-hour workshop with our AI engineers to identify and size the first use case.