Is your company AI fit?
AI fitness is the ability to focus AI on the outcomes that matter, build the foundations that enable AI to deliver ROI, and then rapidly scale what works—turning pilots into profit.
The most AI fit companies are getting a 7.2 times AI-driven performance boost—a combination of AI-driven revenues and cost reductions—over their peers.
Discover more about the nine factors of AI fitness in the graphic below.
revenue and efficiency gains achieved by the most AI fit companies versus the rest
Why it matters Becoming AI fit builds the muscle to pull more ROI from AI.
Your next move Take stock of your AI fitness level by reviewing your company’s performance on the nine AI fitness factors.
Embed AI at scale
Build the right foundations
Aim AI at growth
Get AI fit
Are you using AI for reinvention—or just efficiency?
The leading companies aim AI at growth and use it to innovate. They’re 2.6 times as likely as others to say AI enhances their ability to reinvent business models and 1.2 times as likely to use AI to drive revenue. They target where value is moving and tightly manage AI bets like an investment portfolio—with clear owners and metrics.
And the AI leaders win where sector boundaries blur. They’re 1.8 times as likely to use AI to find emerging value pools, three times as likely to collaborate across sectors, twice as likely to compete beyond them—and they fast-track “industry convergence” use cases with senior sponsorship.
Dive deeper on AI for growth here.
as likely to say AI has helped reinvent our business model—AI leaders versus the rest
Why it matters The biggest returns come when AI changes what you sell and how you create value, not just how quickly you execute tasks.
Your next move Identify two growth bets AI could unlock this year and define what proof of success looks like.
Embed AI at scale
Build the right foundations
Aim AI at growth
Get AI fit
Are your foundations fit-for-purpose?
The most AI fit companies have strong foundational capabilities, including workforce skills, modernised tech, high data quality, and governance and risk management.
AI leaders also invest 2.5 times as much as others in AI, and do it nimbly—building only what’s needed to achieve their strategic priorities. When AI sits on strong foundations, it creates twice as much value from AI use.
as likely to build reusable AI assets—AI leaders versus the rest
Why it matters Reuse makes AI cheaper, faster, and more reliable with every deployment.
Your next move Design application components with reuse in mind right from the start.
Embed AI at scale
Build the right foundations
Aim AI at growth
Get AI fit
Get AI fit
Aim AI at growth
Build the right foundations
Embed AI at scale
Are you embedding AI across the enterprise—or in silos?
The biggest performance gains accrue when AI does real work on its own: making routine decisions, handling straightforward tasks, even improving its own performance.
The AI leaders integrate AI into every facet of their business, quickly scaling successful pilots enterprise-wide, and deep into complex operations. They’re two times as likely to embed AI end‑to‑end across the value chain—from corporate strategy to procurement, and from the back office to the customer experience.
as likely to use AI that operates autonomously—AI leaders versus the rest
Why it matters Across all operational practices we tested, automating decisions links most strongly to AI-driven performance.
Your next move Phase autonomy into a high-frequency workflow, progressing AI use from assisting to executing on its own within established guard rails.
