Expertise

Applied AI

No POC gathering dust. Real deployment with measurable ROI.

Our approach

No AI-washing at MCVA. Artificial intelligence is not an end in itself — it's an accelerator in service of a business objective. Our approach: rapid diagnostic, 5-day POC to validate feasibility, then production deployment if ROI is confirmed. If AI isn't the right answer, we'll tell you.

What we do

01

AI Diagnostic

Feasibility audit · Use cases · Opportunity scoring · Impact × Feasibility

Identify where AI can create value. A factual diagnostic that evaluates each use case on two axes: business impact and technical feasibility.

02

POC & rapid prototyping

Functional prototype · 5 days · Feasibility report · Technical documentation

A functional prototype delivered in 5 business days, with documentation and feasibility report.

03

Agents & automation

AI Agents · Automated workflows · Orchestration · Claude API · LangChain · Python

Design and deployment of AI agents that automate repetitive tasks: content generation, data processing, customer support, document analysis. Custom Python scripts to automate recurring business tasks.

04

RAG & knowledge management

Retrieval-Augmented Generation · Embeddings · Vector stores · Knowledge base · Python

Intelligent Q&A systems on your internal data. Your documents, your knowledge bases, your processes — made queryable and actionable by AI, in complete confidentiality.

05

Training & upskilling

Hands-on workshops · Real-world cases · Actionable tools · 1-3 days

Custom AI training for your teams. Hands-on workshops with your own use cases, tools your team members can use the very next day.

Our expertise

Diagnostic IAPOC ExpressAgents IARAGLangChainClaude APIPythonFormationScoringAutomatisation

What drives us

AI in service of AI

Our own production model is AI-augmented. It's this daily experience that feeds our advisory expertise.

GEO, a child of AI

Our GEO Score™ is itself an AI product: automated monitoring of 4 LLMs, algorithmic scoring, data-driven recommendations.

Responsible AI

Transparency, data compliance (nLPD, GDPR, AI Act), resource efficiency.

Our convictions

ROI before everything. If AI doesn't deliver measurable returns, it has no place.

Production, not PowerPoint. Our AI deliverables are systems in production, not recommendations. Code, not slides.

Humans remain in control. Every AI system includes human oversight and validation mechanisms.