As AI accelerates the pace of business, even the best strategic plans can fizzle when organizations lose sight of what’s happening across the enterprise. Without real-time visibility, leaders can’t track progress, spot roadblocks and pivot as conditions change. The result is strategic drift, or the gap between what leadership decides and what actually gets done.

Many leaders assume this is a communication problem or alignment issue. But the real problem is architectural, says Asha Thurthi, Atlassian’s senior vice president of product for Strategy Collection, the company’s solution for AI-native strategic portfolio management . The missing piece is context: a live connection between what leadership decides and the work, investments, goals, people and funding required to deliver it.

Traditional operating models, built around meetings, spreadsheets, slide decks and other fragmented systems, may have been sufficient in a slower-moving business environment, explains Thurthi. But they were never designed to continuously sense, decide and adapt as conditions change.

For leaders to understand what’s happening across the enterprise, organizations need a connected operating model that links strategy to the full context of execution: the work, the investments, the goals, the people and the outcomes, she says. “Slides will always tell you what happened, but the living signal will tell you exactly what’s happening right now.”

According to recent research from Atlassian, 80% of senior leaders say they have clearly defined strategic priorities , but only 11% have connected those priorities to execution in a shared tracking system. Nearly nine in 10 are still managing the gap through manual processes such as meetings, spreadsheets and status decks. And while most leaders set priorities, only 54% say those priorities cascade effectively across teams.

More meetings or disciplined review processes won’t solve that disconnect, Thurthi says. The problem is not that leaders lack data; it’s that the data has no shared context.

“That gap persists because strategy, priorities, work investments, people, goals and outcomes all live in different places. They’re not connected. So it’s not a tooling problem. It’s a structural problem.”

That fault line does the most damage during moments of change. With data scattered in so many places, leaders can’t see what’s actually happening in time to act.

When a new opportunity, mandate or competitor emerges, fewer than one in three organizations can make a decision within a week, according to Atlassian’s research. Two-thirds take a month or more.

“That delay is what we call the company’s mean time to pivot,” Thurthi says. “It’s the time it takes an organization to go from awareness to decision to action.”

That lack of visibility creates a practical challenge. When leaders ask basic questions such as, “Are our top priorities on track?” or “What do I need to focus on today?,” they can’t answer without a time-consuming, manual data-collection exercise, Thurthi says.

The advantages of a connected operating model are measurable. Atlassian’s research shows that highly adaptable organizations are 14 times more likely to rate their decision-making as effective.

The Operating Model Shift

Bridging that divide requires rethinking how strategy and execution connect across the enterprise. Instead of relying on manual processes and scattered data, a connected operating model puts leadership priorities, work, investments, goals, people and outcomes into one shared context, continuously updated.

With that foundation, organizations gain a model that senses changes across the enterprise, connects those changes to the work affected and helps leaders adapt as priorities evolve. The result is what Thurthi calls “decision-grade intelligence.”

“Strategic planning and annual planning are no longer a one-time event,” she says. “The future is continuous strategy to execution, especially in an AI world.”

Technology enables that operating model by making those connections visible and actionable. Atlassian’s Strategy Collection is one example of how organizations can create that connected view. Powered by Teamwork Graph, Atlassian’s data intelligence layer, it gives priorities, work, investments, goals, people and funding a single, shared context that AI and leaders can both reason over.

Instead of reviewing static files or waiting for Monday morning meeting updates, leaders get a real-time view of how priorities, investments and people are actually moving, not just whether work is busy, explains Thurthi. They can operate from a living system that connects strategy with execution.

“When you have that, AI can be unleashed into your organization,” she says. “Your organization shifts towards being a modern enterprise, and your executive leaders can now finally unlock decision-grade intelligence [for] your entire company.”

Datasite built that living system with Atlassian and is seeing the payoff. For the global software company, plan drift meant strategic plans scattered across slide decks and spreadsheets, dozens of disconnected objectives and key results (OKRs) and an intense meeting cadence to keep leadership current.

Within five months of adopting a system where strategy and execution are in sync, that changed. Priorities were simplified with each one traced directly to real-time work. Executives gained a clear view of whether daily work was advancing strategic priorities, something that once required extensive manual reporting.

  • OKR and business-review attendance shrank from 125 people to 12
  • More than 4,000 meetings were eliminated, generating $500,000 in productivity gains and a 10x ROI
  • 216 OKRs consolidated into 3 objectives and 12 key results

“Strategy and execution now live in one flow,” says JR Harrell, executive vice president of product operations and enablement at Datasite. “The system connects goals, portfolios, prioritization, intake, discovery, delivery and management, all in one place.”

Datasite also uses Rovo, Atlassian’s AI, to score and rank ideas against strategic criteria. “Our executives are hooked on Rovo,” Harrell says. “One of the first things they do is check with Rovo to see how things are going.”

That kind of shift, Thurthi says, will separate the organizations built for continuous adaptation from those still held back by disconnected systems and outdated operating models. “That is what context makes possible,” she says. “It’s compelling because it shows the shift from knowing that someone is busy to seeing that the work they are busy with is actually flowing towards the right strategic outcomes for the company. It creates that tectonic shift.”