Frequently Asked Questions

It is the methodological approach of constraining the probabilistic behavior of AI (LLMs, autonomous agents) with a deterministic, semantic data model (Business Object Model / BOM and Knowledge Graphs) extracted from the tacit knowledge of your business experts (sachants). This eliminates operational hallucinations and guarantees reliable, explainable, and auditable answers aligned with the physical reality of your processes.

Corporate knowledge does not reside in stacked or sliced pieces of text (classic RAG). It lies in the semantic links and logical transitions between those texts. A classic vector RAG is blind to deep semantic connections. Our GraphRAG architecture allows AI agents to navigate the geometry of your business thinking to detect strategic dependencies or logical contradictions that a classic engine will systematically miss.

Uncontrolled autonomy is the worst enemy of operational safety in critical enterprise systems. We do not design agents hoping they will intuitively grasp your rules; we design constrained architectures where agents are physically bound by strict roles and barriers (e.g., the researcher agent searches but does not write; the writer agent structures but does not search). We divide the cognitive load and the hallucination risk through a robust orchestration protocol.

Absolutely not. The goal is to offload 90% of the mental plumbing from your experts (searching heterogeneous files, structuring formatting, polishing writing). With the Cognitive Cockpit, your expert rises from text laborer to Publisher (Directeur de Publication): they configure thinking lenses upstream (THINKING) and validate highly structured, sourced outputs downstream. Responsibility and critical intelligence remain 100% human.

It is my upstream qualification matrix to evaluate the industrial viability of an AI MVP before launching any build or development. A project is only approved and engaged if it simultaneously meets these three criteria:

• C — Scoped (Scoped & Secured) : Technical architecture, cybersecurity (sensitive data, Export Control), and sovereign hosting constraints are resolved on day one.
• A — Aligned (Business Aligned) : The use case answers a measurable business value (KPIs/OKRs) and anchors on the semantics of your real processes.
• P — Ready (Delivery Ready) : The technical handover is formalized by a 7-section Feasibility Study validated by your architects, guaranteeing a zero-loss build startup by your digital factory.

It is a model that maps the ontology of your business domain: equipment, process flows, operational parameters, consistency rules, and quantified business correlations. This graph acts as a guardrail for the AI: the cognitive agent or LLM does not reason in a vacuum; it queries the Knowledge Graph, which provides structured and verified facts.

Operating for nearly two years in highly critical and confidential industrial environments, security is not an afterthought—it is a design constraint. From the Discovery phase, I conduct rigorous regulatory and cyber alignment analyses on your data flows and design architectures adapted to your sovereign hosting requirements (S3NS, Bleu, AWS ESC, On-Premise) in consensus with your security teams, CISOs, and architect networks.

It is our flagship technical handover deliverable. This consensus document, co-designed and validated by your architects (Data, Solutions, Security) and your cyber team, details exactly how the AI opportunities will be implemented for the MVP in the digital factory. It covers OKR alignment, multi-dimensional feasibility, AI visibility levels, BOM, regulatory and cyber alignment, skills gap analysis, and the delivery RACI matrix.

A rigorous, methodical scoping cycle typically takes 3 to 4 months. It is structured to transform the technological uncertainty of AI into a stable, industrial roadmap with clear decision milestones. The initial CAP Filter, on the other hand, provides a viability diagnosis (Go/No-Go) in just a few days.

My approach is defined by three fundamental pillars:

1. Engagement is based on rigorous deliverables, not time spent. I bill per deliverable or by scoping package—never by daily body-leasing.
2. **A unique transition expertise (The Architect-Plumber).** Many consulting firms limit themselves to high-level strategic slide decks. I combine product vision with architectural rigor to deliver real implementation specifications (BOM, vector schemas, graphs) that are immediately actionable by your build teams.
3. Co-construction in a Triade. I do not work in isolation. I drive permanent synergy with your Product (Product Coach) and Design (UX Research/Design Coach) teams to place user value at the core of the system.