AI in customer service: Benefits, uses + best practices
Discover how AI improves customer service with real use cases, benefits, and implementation tips in our comprehensive guide.
Teams | Collaboration | Customer Service | Project Management
Collaborating To Help Teams Work Better In The Modern Workplace
Introducing Cursor in Jira
Starting today, Jira teams can assign work directly to Cursor, where a cloud agent will pick it up and begin working. You can steer agents directly from Jira, your IDE, or Cursor on the web. When Cursor needs input or is ready for review, it will notify you in Jira. When it opens a pull request, it will be automatically linked back to Jira.
Miro takes aim at the gap between AI potential and organizational reality
At Canvas 26, Miro establishes its AI platform as the connective layer of the modern AI ecosystem - bringing together teams, agents, and the tools they already work in to turn individual AI productivity into organization-wide transformation.
The Complete Guide to AI Funnel Builders: What They Are and How They Work
Marketing funnels have changed dramatically over the past decade. What once required months of manual setup and constant tweaking now takes days or even hours. The reason? AI funnel builders. These tools combine automation with data analysis to help businesses create sales funnels faster and with better results. Let's break down what they are, why they matter, and how to choose the right one for your needs.
AI in the Workplace [2026]: Productivity Without Big Brother
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.
Fix Messy Brainstorms in 60 Seconds with Miro AI
Sorting hundreds of sticky notes by hand is the old way. In this video, we show you how Miro AI clusters your entire brainstorm by keywords or sentiment in seconds, then transforms the results into a structured summary document and a trackable action table, all without leaving your board. From chaos to execution-ready plan in 60 seconds. Subscribe for more Miro AI tutorials.
AI workflow integration: how to embed AI into the way your team actually works
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.
The AI efficiency paradox: What to do when AI boosts productivity but not results
There’s a paradox happening with AI: Usage and productivity are up, but bottom-line results aren’t always as obvious. It’s a familiar pattern you might be seeing in your organization: Leadership invests in AI, and employees say they’re getting more done: more code, more campaigns, more analysis.
Inside Reddit's IT playbook: Building for scale and AI-readiness
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.
AI reporting: What it is, how it works, and how to get started
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.