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AI strategy

Know where AI is worth it, and where it is not.

A practical AI roadmap: valuable use cases, data readiness, risks, costs and a plan to pilot and scale.

Why teams call us

Problems this solves

  • 01

    Pressure to "do AI"

    Boards and competitors push for AI without a clear goal.

  • 02

    Too many possible use cases

    Ideas everywhere, no way to choose.

  • 03

    Data not ready

    Data is scattered, incomplete or sensitive.

  • 04

    Risk and compliance worries

    Concerns about privacy, accuracy and regulation.

Our approach

An AI strategy should answer three questions: where AI creates measurable value for your business, what it takes to get there, and what could go wrong. We run workshops with your teams, assess data and systems, and rank use cases by value, feasibility and risk.

The result is a roadmap of pilots with success measures, a view of the data and skills needed, and the governance to use AI responsibly.

IT Consulting

What is included

  • Use-case discovery

    Workshops across teams to collect and size ideas.

  • Prioritisation

    Use cases ranked by value, feasibility and risk.

  • Data readiness

    Data quality, access and privacy assessed.

  • Build or buy

    Products, platforms and custom options compared.

  • Pilot plans

    Small pilots with clear success measures.

  • Governance

    Policies and oversight proportionate to your use of AI.

What you receive

  • Use-case portfolio
  • Prioritisation matrix
  • Data readiness assessment
  • AI roadmap with costs
  • Pilot plans
  • Governance recommendations

Technology we work with

  • Generative AI
  • Predictive analytics
  • RAG
  • AI agents
  • NIST AI RMF
  • ISO/IEC 42001

Industries

How an engagement runs

Every engagement starts with a signed agreement and an advance payment as set out in your proposal. Work begins once both are complete.

  1. 01

    Discover

    Workshops and interviews with teams.

  2. 02

    Assess

    Data, systems and risks reviewed.

  3. 03

    Prioritise

    Use cases ranked and pilots chosen.

  4. 04

    Plan

    Roadmap, budget and governance agreed.

Ready to start? Talk to us directly.

Tell us what you need in a few lines. A specialist replies with next steps and a written proposal before any work begins.

Frequently asked questions

Can't find your answer? Ask us

How long does an AI strategy take?
Usually a few weeks, depending on the number of teams involved.
Will you recommend not using AI?
Yes, where a simpler solution works better. Not every problem needs AI.
Can you build the pilots?
Yes, through our AI & Automation division, or we can work with your chosen vendor.

Start with a conversation.

Share a few details. A specialist replies with next steps, usually starting with a short call.

VD Hosts