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Pillar 3

AI Engineering & Leadership

Senior AI leadership and engineering, from strategy and governance to production systems.

Book a call
  • Senior engineers only
  • NDA on request
  • Fixed-scope starting point

Is this you?

Sound familiar?

  • Leadership wants an AI strategy, and you need someone to own it.

  • You need AI governance before rolling AI out across the company.

  • You're building LLM features or agents and need senior engineering.

  • You need a CTO-level AI leader, but not full-time.

Outcomes

What we solve

  • No AI strategy or roadmapOutcome: A clear plan tied to business outcomes, with owners and milestones.
  • Governance, risk and policy gapsOutcome: Policies, a risk register and controls that people actually follow.
  • Unclear architecture and vendor choiceOutcome: Decisions made on evidence, with exit options kept open.
  • LLM apps, agents and RAG to buildOutcome: Production systems with evaluation, guardrails and monitoring.
  • Teams without AI experienceOutcome: Your engineers enabled to build and run AI features themselves.

Services

Services in this pillar

Start here

Begin with a fixed scope

A short, fixed-scope engagement shows exactly where you stand and what to do next. No long commitment.

Start here

Fixed scope · Price on request

AI Readiness & Governance Assessment

A clear picture of AI use, risk and readiness, with a governance plan and a 6–12 month roadmap.

  • AI use inventory, including shadow AI
  • EU AI Act risk classification
  • Risk register and policy recommendations
  • Leadership presentation
What's included →

Ongoing support

AI Engineering Partner Retainer

Senior AI leadership and engineering capacity, scaled to where you are.

  • Essential

    Senior guidance on a steady cadence.

    Tailored to your scope

    • Fractional AI CTO advisory
    • Monthly planning
    • Architecture reviews
    Reporting:
    Monthly

  • Growth

    Guidance plus delivery.

    Tailored to your scope

    • Everything in Essential
    • An engineering squad delivering AI features
    Reporting:
    Monthly + quarterly review

  • Partner

    AI leadership embedded in your organization.

    Tailored to your scope

    • Dedicated AI leadership and team
    • Embedded in your organization
    Reporting:
    Weekly + quarterly review

Every retainer is scoped in a written proposal after a short call. Compare tiers on How we work.

Process

How an engagement runs

  1. 1

    Discovery

    Where AI is used today, what leadership wants, and what's in the way.

  2. 2

    Readiness assessment

    Opportunities, risks and gaps, scored by area.

  3. 3

    Roadmap

    A 6–12 month plan with governance, priorities and owners.

  4. 4

    Build

    We deliver the first systems alongside your teams.

  5. 5

    Operate & scale

    Ongoing leadership, reviews and delivery capacity.

FAQ

Frequently asked questions

What does a fractional AI CTO do?

They own your AI strategy and technical decisions part-time: roadmap, architecture, vendors, governance, hiring guidance and reporting to leadership.

Can you work with our existing engineers?

Yes. We work alongside in-house teams, and part of the goal is leaving them able to build and run AI features themselves.

How do you handle GDPR and AI regulation?

We map where personal data flows, classify AI use cases against the EU AI Act, and build governance into the roadmap. We work with your legal counsel on final legal positions.

Which models and providers do you use?

We're vendor-neutral. We choose between major LLM providers and open-source models based on quality, cost, data residency and risk for each use case.

Who owns the code?

You do. Deliverables, including code, belong to the client as set out in the contract.

Insights

Related insights

All insights →

  • AI Governance

    How to Write a Company AI Use Policy

    A practical structure for an AI acceptable-use policy that staff will read: approved tools, data rules, review duties, disclosure and new-tool requests.

    5 min read

  • AI Engineering

    When Does a Company Need a Fractional AI CTO?

    What a fractional AI CTO does, the signs you need one, how it compares with hiring or consultants, and how to set up the engagement so it delivers.

    5 min read

  • AI Engineering

    RAG vs Fine-Tuning: How to Choose

    When retrieval-augmented generation is the right approach, when fine-tuning earns its cost, and why most business AI features should start with neither.

    6 min read

Free resource

Is your company ready to govern AI?

Get our 20-point AI Governance & EU AI Act readiness checklist for leadership teams.

  • 20 checks across 5 areas
  • What "good" looks like
  • Where to start
See what's inside

Get in touch

Tell us what you're building.

Share a few details and a senior engineer will reply within 1 business day.

Prefer to talk? Book a call

Or email contact@geektech.com

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