AI Strategy and Roadmap Consulting

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AI Strategy & Roadmap Consulting.

Know exactly where AI fits in your business — and how to get there without wasting time or money on the wrong things.

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The situation:
Board pressure to have an AI strategy with no clear starting point Build vs buy confusion across multiple vendor pitches No framework to prioritize what to automate first
About this service

Most organizations know they need to do something with AI.

Few know where to start, what to prioritize, or how to avoid the expensive mistakes that come from jumping straight to implementation without a clear strategy.

We cut through the noise. Our AI Strategy consulting gives you a clear, practical roadmap built around your specific business — not a generic framework copied from a whitepaper or a vendor trying to sell you their product.

Quick facts

Best forOrganizations new to AI or with fragmented AI initiatives
DeliverablePrioritized AI roadmap with business case per initiative
DurationTypically 3–6 weeks for initial strategy engagement
Connects toAll AI & Automation services — this comes first
What we do

From readiness to roadmap.

🔍
AI Readiness Assessment
Where you are today — data maturity, technology infrastructure, team capability, and cultural readiness for AI.
💡
Use Case Identification
Finding the highest-ROI AI opportunities in your specific context — not generic use cases, but ones that fit your operations.
🎯
Use Case Prioritization
Sequencing implementation by impact, feasibility, and speed to value — so you build momentum with early wins.
⚖️
Build vs Buy Analysis
When to use off-the-shelf AI tools and when to build custom — with a clear rationale for each decision.
🛡️
AI Governance Framework
Responsible AI policies, data privacy, risk management, and accountability structures — before you build anything.
🗺️
Implementation Roadmap
A sequenced plan with owners, timelines, investment requirements, and success metrics for each AI initiative.

Related services

AI AgentsRPABusiness TransformationSynapse Platform
How it works

How a AI strategy engagement works

An AI strategy engagement typically runs 3–6 weeks for the initial roadmap. It comes before any other AI work, and it ends with a prioritized roadmap and a business case for each initiative, so you know what to do first and what to leave alone.

  1. Understand the driver

    On a free 30-minute call we ask what is behind the AI push (board pressure, competitors or a specific pain), what pilots or tools you have tried and whether your data is organized.

  2. Readiness assessment (weeks 1–2)

    We assess data maturity, technology, team capability and culture through interviews and a review of your systems. You get a clear picture of what is realistic now and what needs groundwork first.

  3. Find and rank use cases (weeks 2–3)

    Working with each department, we list candidate use cases and score them on value, feasibility, risk and data readiness. The result is a short, ranked list rather than a long wish list.

  4. Build versus buy and business cases

    For the top use cases, we compare buying a tool, extending what you already own such as Microsoft Copilot, or building a custom solution, and write a business case for each initiative.

  5. Roadmap and governance

    We deliver a sequenced implementation roadmap and an AI governance framework covering acceptable use, data access and oversight, then present it to leadership so decisions can be made straight away.

Pricing

What it costs

An AI strategy is quoted as a fixed fee, and it is often run as a Discovery Sprint so you can decide on implementation once the roadmap is in hand. We work on fixed fees, not hourly rates: one price, a defined scope and a timeline, agreed before anything starts. If the work takes us longer than planned, that is our risk, not yours, and any change in scope is re-quoted before the next phase rather than added to an invoice.

The main things that move the price are:

  • The number of departments and use cases assessed
  • How many systems and data sources need to be reviewed
  • The depth of business cases and build versus buy analysis
  • Whether a governance framework and policy are part of the scope

We normally invoice AI strategy work half at the start and half on delivery (40/30/30 for bigger scopes), in CAD. A short brief is all we need to return a fixed-fee proposal within 48 hours.

Get a fixed-fee proposal
FAQ

Common questions

Do we need an AI strategy before building anything?

Not always. If you already have a clear, contained problem, a focused pilot can come first. A strategy is most useful when there are many ideas, fragmented pilots or board pressure without an agreed starting point.

What does the final AI roadmap include?

A ranked list of use cases, a business case for each priority initiative, a build versus buy recommendation, a sequenced implementation plan and an AI governance framework your leadership can approve.

What if our data is not ready for AI?

That is a common finding and an important one. The readiness assessment shows which use cases can proceed with the data you have and which need data work first, so the roadmap is realistic rather than optimistic.

Will the strategy just recommend buying more software?

No. We do not sell AI products. Where your existing Microsoft 365 or Copilot licences can do the job, we will say so, and we will only recommend new tools when they clearly pay back.

Can you implement the roadmap afterwards?

Yes. We build AI agents, chatbots, Document AI, RPA and prompt engineering solutions. There is no obligation to use us for implementation, and each phase is quoted separately.

Related: AI agents · prompt engineering and LLM integration · Microsoft 365 consulting.

Ready to build your AI strategy?

Start with a free AI Readiness Call — 30 minutes and you’ll know exactly where you stand.

Book a Free AI Readiness Call
Free 30-minute call · No commitment · No sales pitch