Your backlog shouldn't be your biggest project. Here's how operations teams are fixing it.

Every operations team knows the feeling. Requests arrive faster than anyone can review them. New projects, approvals, last-minute asks, all competing for attention until sorting through the backlog becomes the job itself. The work that was supposed to move the business forward gets buried under the work of figuring out what to work on next.

Put intake on autopilot with AI triage

The traditional answer to a growing backlog is more headcount or more process. Neither scales. As organizations grow, the volume of incoming requests grows faster than any team's ability to manually triage, route, and track them.

Multiplayer agentic AI helps shift teams out of this constant reactive cycle. Instead of relying on people to review every request, AI can automatically categorize incoming work, gather the right context, identify duplicates, determine priority, and route requests to the right owner — flagging issues before they become bottlenecks. Work keeps moving without someone having to constantly push it along.

"The goal isn't to replace the operations team. It's to give them a partner that keeps work flowing behind the scenes."

With intake handled, operations leaders can spend less time managing queues and more time removing blockers, improving processes, and helping the business move faster. The backlog stops being the job. It becomes a system that runs itself.

Shift from reactive status reporting to real-time portfolio insights

Every strategic plan starts with the best intentions. Teams align on priorities, leaders set goals, and everyone leaves the kickoff confident about what's ahead. Then the real world takes over.

A new executive initiative jumps the queue. One team gets blocked, creating delays across dependent work. Resources get pulled onto something urgent. Little by little, the work drifts from the plan, and these changes rarely happen all at once. They build over time, often going unnoticed until a quarterly review reveals that projects are off track and deadlines are at risk.

Multiplayer agentic AI helps operations teams spot those signals before they become bigger problems. It continuously monitors how work is progressing, identifying resource constraints, cross-team dependencies, shifting priorities, and delivery risks as they emerge. Instead of waiting for someone to connect the dots, AI surfaces them in real time and recommends the next best step — whether that's shifting resources, adjusting priorities, or resolving a dependency before it slows down the rest of the portfolio.

"People still decide where the business is going. AI helps make sure the organization stays on course."

REWE Group put this into practice at scale. The company replaced hours of manual portfolio reporting with an AI Teammate that continuously scans hundreds of projects, surfaces the risks that matter most, and automatically generates executive-ready updates. What once took program managers nearly a full workday each week now takes just minutes.

Speed up decision-making with proactive AI insights

The higher you move in an organization, the less your job is about completing tasks and the more it's about making decisions. But the information leaders need to make those decisions is scattered across meetings, Slack threads, documents, and project tools. By the time it's all gathered, the moment to act has often passed.

Asana Dash is designed to solve that. Think of it as an AI Chief of Staff: one that understands your goals, knows what's already in motion, and keeps an eye on the work that needs your attention. Instead of digging through updates to figure out where things stand, leaders can simply ask. What has changed since yesterday? What decisions are waiting on me? What's at risk?

"Instead of digging through meeting notes, Slack messages, and project updates to figure out where things stand, you can simply ask Asana Dash."

Dash isn't just another AI assistant waiting for a prompt. It works proactively alongside you, helping your entire organization stay aligned, accountable, and focused on what comes next. In the final post in this series, we look at what makes all of this possible at enterprise scale: the governance layer that lets organizations move fast without losing trust or control.