AI Adoption and Strategy
Choosing the technology is the simple part of AI. The value is in knowing which problems are worth solving, keeping your data safe while you solve them, and helping people change how they work.
Companies are under pressure to adopt
Most leadership teams want an AI strategy. That request usually lands with IT, but IT don’t always have the answers. Which processes cost the most time? Which teams would benefit first? Should the priority be generative tools, agents or automation? What return should the board expect, and by when?
Meanwhile, staff are already using free tools on personal accounts to draft documents and summarise meetings, often with company information pasted straight in. Shadow AI sits outside your data protection controls and grows every month it goes unaddressed.
Strategy, adoption and delivery in one programme
LIMA’s AI adoption service brings strategy, adoption and delivery together in one programme, with data readiness running underneath all three.
Reduce risk: strategise and secure.
We build an AI strategy and policy the board can scrutinise, set the governance framework, uncover the shadow AI already in use and put the security controls in place to bring it into the open.
Drive usage: adopt and support.
AI only pays back when people use it. We deliver user training, structured change management and ongoing support, so new tools become part of everyday work instead of something people try once and forget.
Automate more: design and deploy.
When a use case needs more than an off-the-shelf tool, our professional services team designs and builds it on Microsoft’s platform: workflow automation, agents and bespoke AI applications, secured and ready to run.
Decide with confidence: data foundations.
Underneath everything is your data. We assess whether it’s ready for the use cases you’ve prioritised and help bring together disparate sources of information.
Faster time to value, one use case at a time
Every engagement starts with discovery, and discovery starts with your users. We interview department champions, survey staff, run use case workshops and map how work moves through the business. Out of that comes a prioritised list of use cases, ranked by the impact they would have and how achievable they are.
From there we pick a starting point, usually a single use case with a clear owner and a measurable outcome, and work back to the technology. We build it, prove its value to the business and then support its adoption. Training, champions and cultural support continue until the new way of working is embedded.
Two ways to engage
Project-based consultancy
Project-based consultancy gives you expert help for a defined piece of work, with an agreed scope, budget and timeline, run to PRINCE2-aligned methods.
Ongoing AI advisory
Ongoing AI advisory gives you dedicated AI expertise across strategy, adoption and governance on a continuing basis, for a fraction of the cost of an in-house hire. It suits organisations that want AI to develop steadily, with someone accountable for keeping it on course.
The benefits
Time back where it matters most
Use cases come from your people and are ranked by impact, so the first things AI touches are the tasks that cost your workforce the most time.
AI your board can stand behind
A clear policy, a governance framework and the right security controls give leadership, auditors and clients confidence in how AI is used and what data it can reach.
Spend mapped to a specific return
Every licence and every build is tied to a use case with a measurable outcome, so budget goes to the things that pay back.
Change that sticks
Training, champions and ongoing support mean the tools you invest in become the way work gets done.
Why choose LIMA for AI adoption and strategy
We stay for what comes after the strategy. The partner that identifies your use cases also builds the solutions through our professional services team, supports your people as they adopt them, and manages the Microsoft environment they run on. Nothing gets lost in a handover between a consultancy and an implementer.
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