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Agentic transformationICPC method

Agentic transformation: industrialise AI agents in your company

Not digital, not RPA, not tool adoption. Agentic transformation delegates entire decision and execution chains to AI agents, under human supervision, with capitalisation in a proprietary Knowledge Graph you own.

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ICPC method
Identify · Frame · Produce · Capitalise
Knowledge Graph
defensive moat, 3× faster on project 2
Code ownership
with the client
4 pillars

The 4 pillars of agentic transformation

What distinguishes agentic transformation from yet another AI adoption project.

Reorganise processes

Move from isolated tasks to the full chain: AI agents take over entire process segments, under human supervision.

Industrialise in production

No isolated POC: each agent is deployed in real conditions, integrated into the IS, monitored and governed from day one.

Capitalise knowledge

Each project enriches a proprietary Knowledge Graph, the company's organisational memory. That's what sets a transformation apart from an AI project. And what makes the next project 3× faster.

Retain ownership

Application code, data and models belong to the client. Delivered into your repository, deployable on your infrastructure. No lock-in.

The GenieFactory method

ICPC: the method that takes AI all the way to production.

71% of IT projects fail at the scoping stage. Our four-phase method, Identify, Frame, Produce, Capitalise, solves the scoping problem upfront, then ships the agent to production. Each phase produces a tangible deliverable.

Map. Score. Prioritise.

Map use cases. Score them on business value × feasibility. Prioritise. Modules: Domains, Use Cases, Qualification (RICE / MoSCoW).

→ Prioritised AI portfolio

Align business, IT and management.

Align all stakeholders on a single specification. Modules: Solutions, Mermaid / DBML / React Flow diagrams, blockers, deliverables.

→ Shared blueprint

Ship to production.

Deploy the agent in real conditions. Human-in-the-loop. Modules: Forge runtime, RAG Agents, GenieArtifact, ontology, evaluation loop.

→ Monitored AI agents

Encode organisational knowledge.

Encode knowledge so the next project doesn't start from scratch. Modules: Knowledge Base, Ontology, conversations + traces, evaluations.

→ Reusable Knowledge Graph
Comparison

Digital transformation vs agentic transformation

These are not the same nature of project. Nor the same deliverables.

Dimension
Digital transformation
Agentic transformation
Objective
Equip humans
Reorganise the company
Role of AI
Point-in-time tool
Member of the organisation
Scope
Isolated task
Full chain
Business expert
Tool user
Central, as validator
Capitalisation
Nothing, start from scratch
Durable Knowledge Graph
Ownership
With the vendor
With the client
Client cases

Agentic transformation in production

AI agents deployed in real industrial and regulated processes.

Notarial practice

Marianne Notaires

Automated deed qualification, time saved on documentary research.

View the case →Accounting

Actheos

Automated bank reconciliation, entry processing, accelerated VAT preparation.

View the case →Real estate

Spirit Immo

OCR extraction of supplier invoices, ERP integration, traceability.

View the case →Non-profit sector

Croix-Rouge française

AI hackathon, 6 business prototypes designed and tested, 2 moved to production.

View the case →
Go further

Resources on agentic transformation

Pillar articles to understand and execute the method.

What is agentic transformation?

The pillar article: definition, differences from digital transformation, ICPC framework, Knowledge Graph.

Moving from an AI POC to production

The 5 reasons POCs fail and the method to industrialise a business AI agent.

AI Act compliance in 2026

Obligations, documentation, governance: what SMEs and mid-size companies need to concretely do.

FAQ

Frequently asked questions

Agentic transformation is the reorganisation of a company's processes, business functions, and governance by autonomous AI agents. It delegates entire decision-making and execution chains to AI agents — while keeping humans in control and the company in ownership of its assets.
Digitalisation equips humans with software (ERP, CRM, cloud). Agentic transformation reorganises the company with AI agents that take over entire work chains, under human supervision. The scope shifts from an isolated task to the full chain.
Because "adopting AI" means equipping humans with ChatGPT or Copilot — useful but superficial. Agentic transformation reconfigures processes around AI agents that make decisions and execute actions, with traceability and governance. The change is one of nature, not of tooling.
ICPC stands for Identify, Frame, Produce, Capitalise. It is the GenieFactory method for structuring an agentic transformation project by project: identify prioritised use cases, align business/tech/management on the same scope, produce under real conditions with human validation, capitalise knowledge into a proprietary Knowledge Graph.
With a high-impact, clearly scoped business process — not the most complex one, the most demonstrable. Formulate the ROI in one sentence before touching any tool. If you cannot write that sentence, do not launch the project. Then plan for capitalisation from day one so each project enriches the next.
A central one: they shift from tool users to validators at the heart of the system. AI agents execute; business experts arbitrate edge cases and validate business rules. Their tacit knowledge is encoded in the company's Knowledge Graph, which becomes a durable asset.
The client. GenieFactory contractually guarantees that the application code, Knowledge Graph, fine-tuned models, and documentation belong to the company — delivered into its repository, deployable on its infrastructure. No vendor lock-in.
Agentic transformation is conducted in waves of 8 to 16 weeks. Each wave delivers an AI agent in production on a business process, enriches the Knowledge Graph, and prepares the next wave. An SME can have 3 to 5 agents in production within 9 to 12 months using this method.
No. It eliminates the invisible work of translation, reformulation, and re-entry that consumed 80% of time without creating value. Business experts regain time for high-value decisions. Work shifts from manual execution to supervision and arbitration.