By 2028, the majority of enterprises will have transitioned to that operate and trigger actions within workflows and across the organization, Gartner predicts. Yet few organizations have embedded AI deeply enough to act at that level, let alone see results.
This is because a large gap separates their technology investment from their ability to apply AI within core systems and real workflows, scale what works, and connect output to trackable performance.
To close this gap, organizations must integrate AI into their operations. Until they do, they risk building AI initiatives that are productive only in isolated cases—disconnected from the outcomes that matter most.
The Execution Challenge
Many organizations have invested heavily in AI tools and platforms, but those investments often sit alongside existing systems rather than inside them. This AI may generate insights, content, or code, but without integration into operational workflows, those outputs rarely translate into decisions or actions at scale.
