Consulting

Short engagements to take the guesswork out of AI.

Focused audits and short sprints to clarify what is blocking progress, reduce risks and produce decisions you can act on. Have a specific need? Get in touch to scope the right engagement.

01

5 to 10 days

AI audit: are your projects ready for production?

Know what deserves to be scaled, what needs reframing and what should be stopped before the proofs of concept pile up.

Your AI prototypes look impressive in demos, but nobody is quite sure they will hold up within your IT systems, with the right data, permissions, costs and accountability.

This engagement examines use cases, data, risks, architecture, the team, costs and conditions for scaling. By the end, you know what to move forward, what to reframe and what to stop before the prototype becomes a liability.

  • Audience

    • IT
    • data
    • innovation
    • business teams and executive sponsors

  • For you if...

    you have several AI initiatives but no clear view of their actual production potential

  • Deliverable

    maturity assessment + 30/60/90-day roadmap

02

3 to 5 days

RAG / agent architecture review

Challenge an assistant, RAG system or agent before it becomes fragile, expensive or impossible to maintain.

A RAG system or agent can answer three test questions correctly, then fall apart when connected to real data, real permissions and real users.

The review examines how the system will operate: sources, retrieval, prompts, models, permissions, orchestration, human supervision, observability, costs and failure scenarios.

  • Audience

    • CTOs
    • architects
    • data / ML engineers and product teams

  • For you if...

    you are building an assistant, RAG system or agent and want to find the weak points before your users do

  • Deliverable

    priority risks + architecture recommendations

03

5 days

AI governance sprint: set rules that let teams move forward

Move from uncertainty, shadow IT or fear of risk to a clear, understandable and practical framework for AI use.

Between undeclared AI usage, sensitive data copied into the wrong tool and committees blocking everything out of caution, organisations often need to restore some order while preserving momentum.

The engagement structures operational governance: use categories, risk levels, usage rules, human validation, responsibilities, CNIL / AI Act requirements and rules for SaaS tools or internal models.

  • Audience

    • CIOs
    • DPOs
    • CISOs
    • legal
    • HR and business teams

  • For you if...

    your teams already use AI but nobody is quite sure what is permitted, risky or prohibited

  • Deliverable

    usage rules + acceptance criteria + approval process

Next step

Let's discuss AI in your organisation.

A short briefing is enough to identify the right format, level and audience.

Arrange a briefing→See client references→