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11 key transformation domains. Select a tab to view the corresponding summary. Updated: 10/04/2026 (AI Act, NIS 2, Cyber Resilience Act, AI agents).

Domain summary

Data center strategy in the AI era

The data center is no longer an IT asset: it is heavy, electro-intensive and capital-intensive industry — €40bn for a 1 GW IT gigafactory, 1.5 GW for a single AI factory site, ×2.3 on global electricity consumption by 2030. A three-lever path to commit to the decision: build the infrastructure, model the system with a virtual twin, protect the site with an augmented IT/OT SOC — without ever ceding control to AI.

  • Lever 1 — AI infrastructure: lock in what will not change (MW, m², water, height), keep open everything that follows the chip; standard liquid cooling, PUE 1.0-1.15, energy sovereignty
  • Lever 2 — Augmented engineering: virtual twin of the site across its entire lifecycle, generative-AI-assisted MBSE, 5-10% optimization through system simulation before CAPEX commitment
  • Lever 3 — IT/OT cybersecurity: augmented SOC with controlled delegation (Operator → Assistant → Companion), securing the AI agents themselves as an attack surface
  • Three-horizon roadmap: frame (0-6 months), industrialize (6-18 months), scale up (18-36 months)
  • Six structuring trade-offs: three risks to accept (bubble vs sovereignty, sizing for the unknown, supply chain before technology), three principles to adopt (critical AI, shared reference framework, end-to-end sovereignty)
Domain summary

Artificial Intelligence

AI, and even more so generative AI now accessible to everyone, is deeply transforming professions and organizations. This domain covers understanding key concepts — machine learning, neural networks, intelligent agents — through to concrete implementation on strategic projects.

  • Core concepts: machine learning, deep learning, generative AI
  • Mastery of prompting and intelligent agents; overview of reference models and recent updates (October 2026)
  • Scoping and managing AI projects in the enterprise
  • Discernment of AI's limits, biases and impacts
Domain summary

Data

Data is at the heart of business performance. This domain covers collecting, leveraging and analyzing data to turn raw information into informed decisions and lasting competitive advantage.

  • Data architecture and governance
  • Analysis, visualization and data storytelling
  • Data-driven management of the organization
  • Quality, reliability and use of datasets
Domain summary

Governance

Every impactful technology must be governed — governed does not mean constrained. This domain covers structuring IS and AI governance: processes, regulatory compliance, risk control and a responsible approach.

  • Setting up governance processes and tools
  • Regulatory compliance: AI Act, GDPR, ISO standards — AI Act timeline updated by Regulation (EU) 2026/1744 ("Digital Omnibus"): high-risk obligations postponed to December 2, 2027 (Annex III) and August 2, 2028 (Annex I); transparency (Art. 50) and GPAI obligations maintained
  • Risk assessment: bias, hallucinations, discrimination
  • Ethical and responsible AI approach
Domain summary

Cloud

The cloud market is accelerating transformations: cost reduction, agility and innovation capacity. This domain covers technical solutions as well as legal, financial and sustainability aspects to adopt the cloud with discernment.

  • Cloud architectures and migration strategies
  • Operating and securing infrastructures
  • Legal, financial and sovereignty aspects
  • Eco-responsible cloud approach
Domain summary

Cybersecurity

Facing constantly evolving threats, information system security is a strategic issue. This domain covers understanding risks, defense mechanisms, compliance and spreading a genuine security culture.

  • Overview of threats and attack surface
  • Defense and incident response mechanisms
  • Compliance: NIS 2, GDPR, security frameworks; Cyber Resilience Act — reporting of actively exploited vulnerabilities within 24 h / 72 h applicable since September 11, 2026, full technical compliance in December 2027
  • Security culture and awareness
Domain summary

Project management

Succeeding in an IS project depends as much on method as on people. This domain covers project steering, change management and coordination of stakeholders through to controlled, value-creating delivery.

  • Steering methods: traditional and agile
  • Scoping, planning and project risk management
  • Change management and stakeholder coordination
  • Delivery and value steering
Domain summary

AI Agents, MCP & automation

AI agents are moving from demo to production: permanent personal assistants, development agents, business agents connected to your data. Two standards structure the ecosystem — MCP (access to tools and data) and A2A (agent-to-agent communication), both governed by the Linux Foundation's Agentic AI Foundation. This domain supports the selection, integration and securing of these agents.

  • Overview of agents and reference models, and selection criteria depending on context
  • Typical architecture: business data, RAG, agent, tools via MCP, orchestration (n8n, LangGraph…)
  • Multi-vendor interoperability: MCP and A2A v1.0, avoiding vendor lock-in
  • Agent security: least privilege, MCP server auditing, real-time monitoring, traceability
  • Scoping a first high-ROI agent, as a pilot
Domain summary

OSINT & open-source intelligence

Open sources (registers, networks, exposed infrastructure, imagery) provide a precise view of an organization — yours as well as a third party's. This domain teaches how to use them methodically to assess your exposure surface, vet a partner or run monitoring, strictly within the framework of GDPR and ethics.

  • Intelligence cycle: need, collection, cross-checking, reporting
  • Reference tools: company registers, infrastructure search engines, relationship mapping
  • Assessing the digital footprint of an organization and its executives
  • Legal framework: GDPR, purpose, proportionality, data retention
Domain summary

Change management & support

Nearly 70% of transformation projects disappoint — rarely because of technology, almost always due to a neglected human factor. Change cannot be decreed, it must be supported: method, tooling and steering to transform the organization rather than endure it, from large accounts to SMEs.

  • Understand: resistance mechanisms, 7 critical axes, the manager's role
  • Build: diagnosis, overall process, budget, cost & time-boxing
  • Deliver: communication plans, training, support and conflict management
  • Skills transfer: your teams become autonomous
Domain summary

NIS 2 compliance

The European NIS 2 directive massively broadens the scope of regulated entities — more than 18 sectors — and engages the personal liability of executives. It is not only a legal matter: it is a transformation project, from governance to technology. DAMOTIC structures it end to end, from the eligibility diagnosis through to dialogue with ANSSI.

  • Determine your obligation: Essential Entity, Important Entity or out of scope — French transposition (Résilience law) still under review in Parliament as of the latest information available; ANSSI's ReCyF framework published on March 17, 2026
  • Master the requirements for governance, protection and incident management
  • Structure a realistic and proportionate compliance roadmap
  • Prepare accreditation, audits and the relationship with ANSSI and the CSIRTs
  • 7-module path: scoping, scope of application, EU regulations, governance, incidents, supervision, project management
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