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AI strategy

Know which AI projects to do first, and why.

We line AI up with your organisational objectives, rank the possible uses by impact, feasibility and return, and set out the timelines, resources and governance to deliver them. The result is AI spending that is targeted and measurable rather than a handful of disconnected pilots.

Talk to our AI team See our strategy approach

Related services

From strategy to delivery.

A roadmap is only useful if the next steps are clear. These are the services the strategy usually leads into.

AI strategy consulting

Readiness assessments and advisory for Copilot and Azure AI, with ongoing support.

AI strategy consulting

Copilot readiness

A check of your Microsoft 365 tenant before Copilot is switched on.

Copilot readiness assessment

AI solution design

Architecture and a proof of concept for the use cases at the top of your list.

AI solution design

AI governance

Policies and controls so the roadmap is delivered safely.

AI governance and security

AI data analysis

Reporting and forecasting on your own data, often one of the first wins.

AI data analysis

Microsoft 365 Copilot

Rollout and adoption support for Copilot across the business.

Microsoft 365 Copilot

2 hours

for our readiness workshop, including licensing costs and return

20+ years

of Microsoft experience behind the team

1 working day

to hear back from us after you get in touch

How we work

How an AI strategy project runs.

01

Discovery

Workshops to understand your objectives, KPIs, processes and the pain points AI could address.
02

Design

A ranked list of use cases scored on impact, feasibility and return, and a roadmap with timelines and resources.
03

Build

The governance model and delivery plan for the first priorities, including integration and security requirements.
04

Train

Sessions with leaders and project owners so they can run the roadmap and measure progress against the KPIs.
05

Go live

We start delivery of the first use case with you and review the roadmap as results come in.

Case studies

Case studies we have delivered.

Defect data used for predictive maintenance

A defect management app for CalMac built with Power Apps, Power Automate, SharePoint lists and Power BI, giving 1,700 employees across 33 ships instant notifications, an auditable defect trail and trend analysis for predictive maintenance.

Read the CalMac case study

FAQ

Frequently asked questions.

Why do we need an AI strategy?

Without one, AI work tends to be fragmented. A strategy keeps the spending targeted, measurable and sustainable.

How do you prioritise AI use cases?

We identify the opportunities and rank them on impact, feasibility and return on investment.

What does the finished strategy include?

A vision linked to your objectives and KPIs, prioritised use cases, and timelines, resources and governance for delivery.

Can you deliver the projects as well?

Yes. We design, build and support the solutions on the roadmap using Microsoft AI products.

Talk to our AI strategy team.

Tell us what you are working on and we will come back to you within one working day to arrange a call.