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AI CONSULTING · MID-MARKET

AI Consulting for Companies That Need Results, Not Reports

You've heard the pitches. You've seen the 80-slide decks. You still don't have working AI in production. I step in, build the system, and hand it off with your team running it.

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The real problem isn't AI — it's the gap

  • ✕

    AI tools deployed, zero governance: every team runs its own stack, zero visibility on risk or cost.

  • ✕

    Consultants delivered a strategy doc. Nobody knows how to execute it. The transformation never started.

  • ✕

    ROI unmeasurable: AI spend shows on the P&L, but you can't tie it to productivity, revenue, or risk reduction.

  • ✕

    EU AI Act deadline approaching. Legal says high-risk system. Nobody owns the compliance workstream.

How it works

  1. 01

    Understand and prioritise

    Review your processes, tools and data. Agree the business priority, the people involved and how progress will be measured.

  2. 02

    Design the solution

    Design the governance layer, select the right models and infrastructure, define the rollout sequence.

  3. 03

    Build and embed

    Implement alongside your team. Not for them — with them. Capability transfer is non-negotiable.

  4. 04

    Measure and close

    Assess the solution against the agreed criteria, document results and transfer ownership. Agree any corrections or further work before proceeding.

Public proof-of-work

  • B2B SaaS product built AI-native: from zero to production, with AI embedded in the product core.

  • Legaltech for a law firm: AI booking, document automation and a client portal in production.

  • Online training school: programmes launched with automated payment links and enrolment.

Scope and proposal

Every proposal reflects your company size, the teams and processes involved, your existing systems and the support you need. After an initial conversation, I define the scope, deliverables, timeline and commercial terms with you. Licences and operating costs are identified separately.

FAQ

Is this suitable for companies with no existing AI?
Yes. The diagnostic starts from where you are. Many clients have zero AI in production — a valid and common starting point.
What size companies do you work with?
I work with companies that need to put AI into practice. The approach adapts to your size, internal capabilities and operational complexity, from a focused team project to a broader rollout.
Do you work with in-house tech teams?
Always. I embed alongside your team, not above it. The goal is to leave you self-sufficient, not dependent.
What about EU AI Act compliance?
Compliance is built into the architecture phase, not bolted on at the end. Every system I design includes a governance layer.
How quickly can we start?
We agree the start date after reviewing scope, access requirements, decision-makers and availability. The proposal sets out milestones and what each party needs to provide.
How is the proposal defined?
It depends on the business objective, company size, teams involved, data readiness, integrations and the level of support required. You receive a tailored proposal with clear scope, deliverables and terms before work begins.

Go deeper

Ready to close the gap?

30 minutes. Bring your messiest AI problem. We'll figure out if it's worth fixing, and how.

Book a free diagnostic