Every time a fast-scaling company enters a new market or brings a new asset online, it faces the same choice: rebuild project capability from scratch, or find a partner who can flex with it.
One client, a fast-growing renewable energy company headquartered in the UK and operating across ten countries, found itself in exactly this position. As the business scaled, knowledge fragmented across multiple portfolios running at once in different geographies. Teams duplicated effort, search times dragged, and the organisation lacked the shared digital foundation it needed to grow at pace.
The clearest sign of that gap was a knowledge management problem slowing the whole company down. A new knowledge management solution and a suite of AI capabilities, including Microsoft Copilot, were ready to deploy. The harder question was how to make every employee, from the CEO to frontline operational staff visiting asset sites, genuinely ready to use them, as a permanent shift in how the organisation worked.
The engagement gave the energy company flexible, cost-effective capacity while its digital function was still taking shape, building the internal capability to carry that work forward on its own. Over 18 months, North Highland designed and delivered an enterprise-wide training and change programme to embed new digital ways of working across the entire workforce. Working closely with the communications team throughout, we mapped the training needs of every stakeholder group using detailed journey mapping. From there, more than 20 targeted sessions followed, reaching 100% of the organisation across all ten operating countries.
Baseline AI capability came through dedicated Copilot and prompt engineering training, a self-serve Help Centre for ongoing access to learning materials, and a company-wide AI Week festival that made digital exploration part of the culture itself. All content was designed around real operational challenges and adapted to the location, time zone, learning culture, and digital confidence of the audience it served.
North Highland's coaching extended beyond the training itself, moving client team members into change management roles they hadn't held before.
North Highland has kept the relationship active well past the programme itself: sharing lessons from its own AI rollout, connecting the client's transformation leaders with specialist practice leads, and creating opportunities to compare notes with peers leading similar work elsewhere.
The renewable energy company achieved a 90%+ reduction in document search time, and knowledge management adoption held into business-as-usual operations, now tracked as a live metric. Microsoft 365 integration improved, AI adoption advanced, and learning materials were folded into the organisation's ongoing learning framework. The programme is on track to deliver $100,000+ in annual cost savings.
The bigger win: the company now has the baseline AI skills and cultural foundation to build on as its digital and AI capabilities evolve. The AI Week festival marked a shift in how the organisation thinks about technology, learning, and change.
That shift shows up in how the organisation works today, beyond just what it adopted. Teams that once needed convincing of the value of structured change management now ask for it on their own initiatives. That's a sign the discipline has moved from something North Highland introduced to something the organisation expects as standard practice.
This is one example of a model North Highland uses with fast-scaling organisations: give them flexible capacity to move quickly, then build the internal capability so they can stand on their own. For this client, proving that model meant building an organisation intentionally designed to use the tools it already had with the right training, the right culture, and the right infrastructure for ongoing learning, built together from day one.
The programme was an 18-month, end-to-end learning design effort combining talent capability assessment, journey mapping, cultural intervention, and technology adoption into a single connected effort. That is what makes this a case study worth telling. It's proof that a fast-growing company can gain outside capacity and build lasting internal capability at the same time.
If your AI tools are deployed but adoption hasn't caught up, let's talk about closing that gap.