Services
AI Automation
Your teams run the same tasks every week: data entry, triage, qualification, reporting, document processing. That's not a skills problem — it's an automation problem. I identify the high-potential processes in your organization, design the right AI agents, and integrate them directly into your existing tools (CRM, ERP, database, API, internal application). Via MCP and LangGraph, agents execute complex multi-step workflows with clear guardrails: limited permissions, detailed logs, human approval at critical decision points. You stay in control; the AI handles the rest.
When it is relevant
Automatic reading and extraction of incoming invoices, quotes, or contracts
Discuss this serviceExpected outcomes
Manual repetitive tasks (data entry, triage, qualification, reporting) handled automatically, without losing control.
The agent works inside your existing ecosystem — not an isolated chatbot, but a system wired to your real data.
Solid guardrails: limited permissions, detailed logs, human validation on sensitive decisions, error recovery built in.
Measurable return: quantified time saved, volume of tasks handled, errors avoided.
Engagement scope
Process analysis: identifying high-ROI tasks, automation risks, and the right level of autonomy to delegate to the AI.
Agent design: tools, permissions, memory, business logic, human approval steps, and error handling.
Integration into your environment: APIs, databases, CRM, ERP, documents, or existing internal application.
Supervision and improvement: dashboard to track actions, detect drift, and adjust agent behavior over time.
What you get (Deliverables)
- Scoping document: high-ROI processes identified, autonomy level defined, risks and test plan included
- Agent workflow designed, modeled, tested and integrated into your existing environment
- Supervision dashboard to track, validate and correct AI agent actions in production
- Complete technical documentation and operational runbook for your team
Typical Use Cases
- Automatic reading and extraction of incoming invoices, quotes, or contracts
- Lead qualification with scoring and summary ready for the sales team
- Complex activity report generation aggregating multiple internal data sources
- Simple support request handling with automatic escalation to the right person
FAQ
What's the difference with a classic chatbot?
A chatbot answers questions. An AI agent executes concrete actions in your systems: creating a record, generating a report, triggering a workflow, qualifying a lead — with human approval at critical points.
How do you ensure the AI doesn't make errors?
By design: permissions limited to what's strictly necessary, detailed logs of every action, human approval on sensitive decisions, and testing on historical data before production rollout. The AI is supervised, not autonomous without guardrails.
Does it integrate with my current tools?
That's precisely the goal. I integrate with your APIs, databases, CRM, ERP, or internal applications. The agent works inside your existing ecosystem — you don't have to change everything to get started.
How long before seeing concrete results?
A functional POC on a targeted process can be delivered in 2 to 4 weeks. This validates the approach, measures the real gain, and lets you decide calmly whether and how to extend the automation.
We clarify your needs before selling a solution.
Describe the context, constraints, and what is blocking you today. I will reply with a concrete technical assessment.
Discuss this service