Bain's 2026 CEO Agenda contains a statistic that jumped out at me.

87% of CEOs say their executive teams are aligned and committed.

Yet only 58% are confident strategy will translate into action.

That gap is where many data and AI programmes fail.

In private equity-backed businesses, we rarely see a shortage of ambition. Most management teams already know what they want to achieve:

• Better visibility

• AI-enabled efficiency

• Faster growth

• More scalable operations

• Improved decision-making

The challenge is turning those ambitions into operating capability.

Data is fragmented across systems. Reporting relies on manual workarounds.

Ownership is unclear. Governance is inconsistent. Teams are overwhelmed with competing priorities.

The strategy is often sound.

The foundations underneath it are not.

This is why so many value creation plans stall between the PowerPoint and the operating model.

The businesses creating the most value today are not necessarily those with the boldest AI roadmap.

They are the ones building the capability, governance, operating rhythms, and accountability needed to turn strategy into measurable outcomes.

Ambition is common.

Execution remains the competitive advantage.

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How much of your value creation plan is below the waterline?

Most organisations don't struggle with ambition. They struggle with execution.

Before launching another AI initiative, transformation programme, or value creation plan, ask:

• Do we have a trusted, integrated view of our data?

• Are our KPIs aligned across leadership teams?

• Can we measure the impact of our initiatives?

• Is our operating model capable of sustaining change?

• Are we building capability, or creating dependency?

The answers often determine whether strategy becomes value.

DataDiligence helps investors and management teams bridge the gap between strategy and execution through senior-led data & AI operating partner support.

Explore our Operating Partner approach →