Teams | Collaboration | Customer Service | Project Management

Andrew King leads competitive intelligence at Asana and his job is to make sure every sales rep (all 400 of them) has exactly the right information to win their deal. The problem? Each rep faces different competitors, different deal stages, and needs different content. Manually producing at that scale is nearly impossible. So King started using an AI Teammate and it changed the way he works. In this video, learn how he uses AI Teammates to.

Learn how to approve timesheets in Apploye: turn on timesheet approval, review each member's tracked time, and approve it — one day at a time or your whole team at once. Approved time goes straight to Payroll.

Manage property maintenance requests in one organized workflow with Nifty. In this walkthrough, we show how property managers and real estate teams can use Nifty to track maintenance requests across properties, assign work, set due dates, manage contractors, and keep everything visible in one place. The template shown in this video is ready to use, so you can start with the same workflow instead of building it from scratch.

Manage all of your rental properties for as low as $10/mo with Nifty.

"Wait, Miro can do this?" That's the reaction Kusuma Sukma gets when he runs educational workshops for digital nomads in Bali — watching people turn a half-formed idea into an app they can actually click through, without writing a single line of code. In this community story, Kusuma walks through his AI-assisted product development flow: mapping out the idea in Miro, then connecting to Lovable via MCP to turn it into a working prototype. He used it to tackle a problem close to home — an app that lets locals in Bali report trash in their area and rallies volunteers to help clear it.

AI has changed how much software can do—but has the SaaS model kept up? As enterprises adopt more AI tools, they are also dealing with software sprawl, rising AI costs, complex implementations, and the challenge of turning AI capabilities into measurable business results. This is where Outcome-as-a-Service (OaaS) comes in. In this video, we explore why organizations may be moving from simply buying access to software toward paying for measurable outcomes and execution.

Turn ChatGPT, Claude and other AI assistants into personal data analysts with the Geckoboard Metrics MCP. In this walkthrough, Geckoboard VP of Product Ben Newell explains how the Metrics MCP gives AI tools access to accurate, real-time business metrics, and shows you how to connect your data and get started. Most AI connectors return raw records, such as individual tickets, deals or calls. The AI must then retrieve those records, define the metric and calculate the result every time. This can be slow, token-intensive and inconsistent.

Tailor AI agents to fit your business. Create Custom Agents for the policies, processes, and exceptions unique to your team. Zendesk makes customer and employee service better. We build software to meet customer and employee needs, set your team up for success, and keep your business in sync.

Why describe what you want when you can just show it? In this video, we show you how to drop any screenshot onto your Miro board, convert it into a fully editable prototype with one click, and extend it into a complete multi-screen flow using a single AI prompt, all without waiting on design resources or starting from scratch. Build from proven patterns. Iterate immediately. Align your team before dev even starts.

A conversational CRM connects your customer data, conversations, and AI so teams can manage relationships right where work already happens. The Problem: Scattered Customer Data Most teams don't work inside a traditional CRM—they're talking in chats, emails, and meetings instead. Customer information ends up scattered everywhere, making it harder to see the full picture.