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AI & Data

AI Strategy Consulting

An honest read on where AI will and will not pay back — use cases scored on return, data assessed for readiness, and a route from pilot to production.

Built for your business

AI Roadmaps Built to Deliver Value

From idea to ROI — we help leaders identify high-impact AI use cases, design responsible architectures, and bring them to production.

AI Opportunity Discovery

Workshops to identify, score and prioritise high-return AI use cases.

Build vs Buy Analysis

Honest evaluation of off-the-shelf versus custom versus fine-tuned solutions.

Data Readiness Audit

Assessment of data quality, governance and infrastructure for AI-readiness.

Responsible AI Governance

Bias, safety and compliance frameworks aligned to the EU AI Act and NIST AI RMF.

AI Operating Model

Org design, talent plan and governance for sustainable AI adoption.

Pilot to Production

Roadmaps, success metrics and execution support from proof of concept onward.

What we deliver

AI Strategy Services We Offer

Start with the capabilities you need today. We define the scope, integrations, and acceptance criteria together before delivery begins.

AI Opportunity Workshops

Interactive workshops with leadership to surface high-impact AI use cases.

AI Use-Case Scoring

Quantitative scoring of use cases by ROI, feasibility, risk, and time-to-value.

AI Maturity Assessment

Benchmark your data, talent, infrastructure, and governance against industry peers.

GenAI Strategy

Strategic guidance on LLMs, RAG, and AI agents tailored to your business model.

AI Roadmap Development

12–24 month phased plans with milestones, dependencies, and ROI projections.

Data Strategy

Data architecture, governance, and quality strategy aligned to AI ambitions.

Build vs Buy Advisory

Vendor evaluation, RFPs, and custom build recommendations.

Responsible AI & Governance

Bias, safety, transparency, and compliance frameworks (EU AI Act, NIST AI RMF).

AI Operating Model

Org design, AI Center of Excellence setup, and talent strategy.

AI ROI & Business Case

Investment justification, financial models, and success metrics.

Change Management

Training, communication, and adoption strategies for AI-augmented teams.

Fractional AI Leadership

Embedded fractional Chief AI Officer to lead strategy and execution.

From brief to delivery

A clear path from the first conversation.

A practical process with agreed milestones, regular reviews, and a handover your team can use.

  1. 01 /

    Discovery

    Stakeholder interviews, current-state assessment, and AI literacy workshops.

  2. 02 /

    Use-Case Mapping

    Identify, score, and prioritize use cases by ROI, feasibility, and risk.

  3. 03 /

    Roadmap

    Phased plan with technology, data, talent, and governance components.

  4. 04 /

    Activate

    Execution support — pilots, vendor selection, governance, and change management.

Tools of the trade

The right technology for the work.

We choose tools around your existing systems, requirements, and long-term maintenance needs. The final stack follows the project.

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Meta Llama 3
  • Mistral
  • LangChain
  • LlamaIndex
  • Pinecone
  • Weaviate
  • pgvector
  • Vercel AI SDK
  • Replicate
  • OpenAI Whisper
  • ElevenLabs
  • Weights & Biases

Before we begin

Your questions, answered.

What to know about ai strategy consulting, from project scope to ongoing support.

01What is AI strategy consulting?

AI strategy consulting helps organizations identify, prioritize, and execute AI initiatives that deliver real business value — covering use cases, data, talent, governance, and ROI.

02How do I know if AI is right for my business?

Most businesses have at least a few high-ROI AI opportunities. Our discovery workshops surface and score them so you invest only where it pays off.

03Should we build or buy AI?

Both have a place. Buy commodity capabilities, build where AI is core to your differentiation. We help analyze the trade-offs.

04What is responsible AI?

Frameworks for fairness, safety, transparency, and accountability — increasingly required by regulation (EU AI Act, NIST AI RMF) and customers.

05How long does an AI strategy engagement take?

Discovery and strategy phases typically run 6–10 weeks. Roadmap execution support extends across 6–18 months.

06Do you also implement the AI solutions?

Yes. We have separate AI Agent Development and Data Engineering practices that execute the roadmaps we design.

07How do you measure AI success?

We tie use cases to specific KPIs — revenue lift, cost savings, cycle time, accuracy, NPS — and report on them through delivery.

A conversation is a good start

Let's talk about ai strategy consulting.

Tell us what you want to build or improve. We will help clarify the scope, the approach, and the next step.

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