Teams | Collaboration | Customer Service | Project Management

At Intapp, a global software provider serving more than 2,700 firms, web requests ranging from page updates to legal policy changes could carry real weight. Without a reliable way to capture and triage them, even simple requests turned into bottlenecks. Missing information, time zones, and slow triage often stretched quick updates into multi-day delays.

Discover your AI working style, then get specific, research‑backed tips on how to work smarter with AI.

Picture this: It’s race day for a team of relay sprinters. The team has gathered some of the best sprinters in the country, who have been working hard to improve their times leading up to the race. But there’s one big problem: They’ve been practicing too much individually, not enough as a team. While they each honed their skills and shaved seconds off their times each week, none of that mattered when the horn blared.

We are entering the era of the agentic enterprise, where AI agents work alongside humans as true partners. These AI agents promise to boost teams' productivity by autonomously taking on real work, like coordinating a marketing campaign, resolving IT tickets, or developing a project plan.

Channel Expert gives each Slack channel a digital teammate that responds to FAQs, surfaces relevant information, and escalates to a human when needed.

Like many of us, I’ve been curious about whether AI can actually take on real work. Not just write snippets of text or answer questions, but actually do things inside SaaS tools. So after a few nights of very bad sleep recently, I decided to put that curiosity to the test and see if AI could take over dashboard-building duties for me. If I wasn’t firing on all cylinders, maybe ChatGPT’s recently-launched Agent Mode could pick up the slack and build a dashboard for me using Geckoboard.