Teams | Collaboration | Customer Service | Project Management

I've spent the last year watching teams bolt AI onto their workflows like duct tape on a leaky pipe. A chatbot here, an auto-summary there, maybe a prompt library someone shared in Slack. Each experiment works fine in isolation. None of them talk to each other. The result? Fragmented productivity gains that never compound. In this guide, I'll walk you through a 6-step framework for genuine AI workflow integration. That means AI woven into the way your team actually delivers work.

Most companies in 2026 are already using AI somewhere in their hiring pipeline, their customer support queue, or their project management software. What fewer companies have figured out is how to use it well, in ways that actually improve working life rather than just adding surveillance overhead. This isn't a theoretical question. According to McKinsey's Superagency in the Workplace report, 92% of companies plan to increase their AI investments over the next three years.

The learnings are based on our recent webinar, “Inside Reddit’s IT playbook for AI and scale”. Check out this session and other conversations with customers on-demand. When Reddit grew from fewer than 400 people before 2020 to roughly 4,000 globally distributed employees today, it wasn’t just their headcount that changed. The mandate for IT changed with it.

Before I joined Teamwork.com, I spent years pulling together reports that took hours to build and minutes to forget. Stitching data from three or four tools into a slide deck every Monday, only to have a client ask a question the report didn't cover. Sound familiar? That cycle is exactly what AI reporting is built to break.

Freshworks’ May launch delivers the innovations and the playbook to deliver AI-powered service transformation.

At Atlassian, on-call engineers live at the intersection of urgency and uncertainty. Floods of noisy alerts sap focus, energy, and productivity — especially when responders must decide what matters, what can wait, and what’s just noise. A single underlying issue can trigger dozens of near‑identical alerts in hours.