Teams | Collaboration | Customer Service | Project Management

AI is changing how engineering teams work faster than most organizations can adapt. Coding assistants are now part of the daily workflow, agents are starting to own tasks end-to-end, and the way we deliver software is being redefined in real time. With that shift, engineering leaders are facing a new set of questions. Are these tools actually improving outcomes? Where are they falling short? Which teams are seeing value, and which aren’t?

Teams of all stripes have run billions of cross‑functional, multi‑tool workflows on Atlassian. After decades spent helping them plan, build, ship, and do, those same workflows are now lighting up with millions of agentic automations, up 7x in the last six months alone. All signals point to the rise of the AI‑native organization, where humans operate at critical junctures, deciding what matters and why, and agents do more of the execution.

More than half of IC professionals use gen AI multiple times a week, with a considerable impact on productivity. They turn to AI to research information, take notes, and generate content. The tools are open in the background. The habit is formed. But routine use and strategic use are different things.

AI tools are everywhere in agencies today. Upto 78% of organizations globally are already using AI in at least one business function. Many agencies are using ChatGPT for content, Midjourney for design, SurferSEO for optimization, and dozens of other tools to work faster and deliver more. But here’s the problem: While AI is speeding up execution, most agencies still lack visibility into how these tools are actually impacting productivity, billable work, and team performance.

A conversation with Freshworks Chief Product Officer Srini Raghavan.

Operations teams are drowning in work that shouldn't require a human brain. Status updates. Resource shuffling. Chasing down project data that lives in six different tools. I spent years managing client delivery for agency teams before joining Teamwork.com, and the pattern I kept seeing was the same: smart people spending their best hours on administrative work instead of strategy. Now, with the emergence of practical AI and automation, we finally have the tools to do something about it.