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A co-authored report by ADAPTOVATE and Enterprise AI

In today's energy sector, innovation alone isn't enough. Large, distributed organizations are proving technologies work — but struggling to scale them where it matters. Adaptovate's Scale Framework was built for exactly this challenge: turning isolated successes into consistent, enterprise-wide results. This case study explores how a global oil and gas company closed the gap between innovation and impact — and what that means for your organization.

AI Changes the Economics,Not the Decision:Rethinking Build vs BuyFor over two decades, enterprises have debated...

Most organizations running transformation programs today would say they take change seriously. They commission communication plans, arrange training sessions, and assign change leads. Then the program ends, and two years later the ways of working look remarkably similar to what came before. The investment has been made. The outcomes have not arrived.

ADAPTOVATE CEO Paul McNamara writes about what actually protects your business in the Age of AI...

A global stock exchange’s HR leadership came into the 2025 strategy offsite with a familiar problem: the planning process was consuming the planning team. Too much time spent compiling inputs, reconciling ...

A global IT services and software company with 5,000 employees worldwide needed to launch an enterprise-wide AI capability programme within weeks – despite....

Why your AI productivity gains might be going nowhere.  Faster rowers. Slower boat.THOUGHT PIECE |...

This paper lays out the case for change, then drills into the threepart framework with specific moves, diagnostics, and metrics by lever. It closes with a no-nonsense starting plan: a Readiness Sprint that translates ideas into measurable results within a quarter.

Organisations achieve lasting cost efficiency not through cuts but by redesigning operating models that align strategy, decision-making, and capabilities.