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Rafael Patron

AI Strategy · Domains

AI strategy, transformation and governance.

The work starts from the organisation's objectives and ends with AI systems in production, measured and governed. Four domains cover the whole scope.

§ 01 Enterprise AI

AI as an organisational capability.

Artificial intelligence enters a company's core processes when strategy, data and operating model move together. The work defines where AI creates value and how it integrates with existing systems.

  • Use-case portfolio with shared prioritisation criteria
  • Reference architecture and integration with enterprise systems
  • Operating model: roles, skills, vendors
  • Roadmap from pilot to production

§ 02 Generative AI

Generative models serving company knowledge.

Assistants, content generation and search over internal documents become working tools when quality and confidentiality are designed in from the start.

  • Model and platform selection
  • Search and answers over internal knowledge bases
  • Quality criteria, evaluation and data security
  • Adoption and training plans for teams

§ 03 Agentic AI

Agents that execute, within clear boundaries.

AI agents run multi-step processes: they gather information, use tools and complete tasks. Their value grows with the clarity of their operating boundaries.

  • Identifying processes suited to agents
  • Autonomy levels and human checkpoints
  • Action traceability and exception handling
  • Integration with existing tools and systems

§ 04 AI Governance

Rules, roles and controls for trustworthy AI.

Governance makes AI sustainable over time: it clarifies accountability, manages risk and aligns systems with the European Union AI Act.

  • Usage policies and accountable roles
  • System classification and risk assessment
  • Documentation and controls across the lifecycle
  • AI Act alignment for systems in use

§ 05 Method

A four-phase method.

  1. M.1

    Listen

    Conversations with the people involved, review of processes and available data.

  2. M.2

    Map

    Priority use cases, technical feasibility, expected value and an operational roadmap.

  3. M.3

    Execute

    Coordination of the teams that build, covering technology, governance and change management.

  4. M.4

    Measure

    Impact reviews at three, six and twelve months, with a plan for what to improve.

§ 06 Formats

Three engagement formats.

Audit call
One hour to review objectives, candidate processes and governance constraints. Rate: €240/hour.
Board and executive advisory
Ongoing support for strategic decisions on artificial intelligence.
Transformation programme
Direction of an AI programme from roadmap to execution, together with internal teams.

§ 07 Further reading

Topics and regions.