Calin Drimbau.

Independent consultant specialising in agentic AI, from strategic use-case selection through to enterprise-scale deployment.

Five years as an AI founder, delivering AI programs for large manufacturing organisations.

Or reach out directly calin@drimbau.com.

Use-Case Selection & AI Strategy

Effective AI programs begin with disciplined prioritisation. I work with executive and functional leadership to identify the opportunities most likely to deliver measurable value and to sequence investment accordingly.

Scope of engagement:

  • Opportunity mapping across business functions

  • Feasibility assessment and data readiness review

  • Prioritisation against impact, complexity, and strategic fit

  • Build, buy, and integrate analysis

  • Business case development and executive alignment

Agentic AI Design & Technical Advisory

Vendor-neutral technical guidance on architecture, tooling, and platform selection. Recommendations are grounded in enterprise constraints: security, integration, governance, and total cost of ownership.

Areas of advisory:

  • Agentic workflow design and orchestration architecture

  • Retrieval-augmented generation (RAG) pipeline design

  • Model selection and evaluation frameworks

  • Platform assessment: Azure AI, AWS Bedrock, GCP Vertex

  • Integration with ERP, HRIS, and enterprise ticketing systems

  • Security controls, access governance, and data handling

  • Cost modelling and scaling strategy

Program & Product Management

Translating AI strategy into operational delivery requires structured program leadership. I provide that continuity — from governance design through to production launch, ensuring programs remain on track against both technical and commercial objectives.

Scope of engagement:

  • Program structure, governance, and roadmap development

  • Stakeholder management and executive reporting

  • Delivery planning and backlog ownership

  • Vendor selection and performance oversight

  • Risk identification, escalation, and mitigation

  • Product discovery for AI-enabled workflows

  • Adoption measurement and outcome tracking

Engagements are structured as fractional program leadership or defined delivery sprints, depending on organisational need.