Unlock up to 7.2x higher AI-driven revenue and efficiency with AI and human talent

Our Global AI Performance Study shows that the most ‘AI-fit’ companies achieve up to 7.2 times higher AI-driven revenues and efficiencies than other businesses. They achieve this by strategically combining artificial intelligence with human talent.

How can your organisation achieve similar exponential growth? Discover how to expand AI beyond initial trials, align technology with your growth objectives, and help your team unlock fresh value.

AI fitness measures how deeply an organisation embeds artificial intelligence into its strategy, operations, and workforce. True AI fitness focuses strictly on revenue growth, rather than just operational efficiency.

AI-fit companies refuse to treat technology as a series of isolated experiments or narrow automation tasks. Instead, they position AI as a core engine for reinvention. They integrate technology at scale and embed it directly into daily workflows alongside human expertise.

Reinvention requires a cohesive approach, not isolated tech trials. Market leaders deploy AI broadly across marketing, finance, product innovation, and supply chains. This enterprise-wide approach completely transforms operations and unlocks new revenue streams.

Consider how modern manufacturers operate. Instead of simply selling machinery, they now use AI-powered data to offer predictive maintenance services. This shift creates reliable, recurring income while building deeper, long-lasting customer connections. Global retailers are also using AI to tailor marketing efforts and introduce fresh subscription models. To achieve these results, you need disciplined portfolio management that prioritises initiatives supporting strategic growth.

Successful companies link every AI investment directly to measurable business outcomes. They build clear road maps and track growth metrics like new customer acquisition, market expansion, and total revenue impact.

While many focus on matching AI initiatives to strategic priorities, fewer address the need to systematically clean, structure and connect data so it can be reused, scaled and monetised. Structured data is what enables organisations to move beyond incremental improvements toward new offerings, revenue streams and pricing models. This requires a deliberate approach: improving data quality, organising it into compatible formats, and continuously analysing it to uncover new customer insights and value pools. Without this, AI remains tied to isolated use cases rather than enabling broader reinvention and aligning AI to growth goals. True alignment comes from linking growth ambitions with a data strategy that supports scalable, repeatable and insight-driven business model innovation.

Technology requires human creativity to reach its full potential. Leading firms invest heavily in reskilling programmes that train employees to collaborate effectively with artificial intelligence.

When AI handles routine, repetitive work, your employees gain the freedom to tackle high-value, creative tasks. They can use AI-generated insights to identify hidden customer needs and design innovative services. Cultivating a workplace culture that embraces this kind of experimentation and collaboration is key. Employees need to trust AI as a collaborative partner rather than fear it as a threat. Transparent, responsible use and ethical governance build this trust over time.

The businesses achieving the greatest growth today combine the speed of AI with the creativity of an empowered workforce. This powerful synergy unlocks opportunities that neither humans nor machines could achieve on their own.

Let’s rethink how we view AI—not just as a tool for cutting costs. It’s time to review your current AI projects, align them with your primary growth metrics, and start investing in your team’s collaborative skills to drive real business reinvention.