Teams | Collaboration | Customer Service | Project Management

Why is AI accelerating work but not improving it? Our research with 9,500+ workers explains the AI transformation gap

AI adoption has reached the point where people are getting real value from it, but turning those individual wins into business outcomes is getting harder. That gap is what we set out to understand in The State of Intelligent Collaboration, our study of 9,500+ leaders and employees across North America, Latin America, Europe, and Asia-Pacific, run in September and October 2026.

Skills in Ask AI: less prompting, more time to deliver

Skills are coming to Ask AI: saved requests you run with a single command. Type /, pick a skill, and get the status update, late-work list or timesheet check your team needs every week. No more retyping last week's prompt and tweaking it until the output looks right. Your team gets reliable answers in one step and spends its time on client delivery, not on describing it.

Why Does Generic AI Stall in the Contact Center? What Vertical AI Deployments Taught Us

Vertical AI is artificial intelligence that works with an industry’s own data, workflows, and rules. In the contact center, that context decides whether AI routes, answers, and prioritizes correctly or only sounds fluent. Generic AI hears what a caller says; vertical AI understands what it means for an insurer, a medical practice, or a public agency.

XRP and the Renewable Energy Market: Kickstart Your Path to Retirement

Combining renewable energy infrastructure with digital asset technology based on XRP enables the creation of a unique and complementary "Core-and-Satellite" architecture for your pension portfolio. On one hand, real-world clean energy assets-such as utility-scale solar farms, wind farms, and energy storage systems-can secure long-term, stable Power Purchase Agreements (PPAs), generating predictable cash flows with an inherent hedge against inflation. On the other hand, XRP provides efficient on-chain settlement and supports the tokenization of Real-World Assets (RWAs).

Create AI-Powered Sales Demos in Minutes with Claude + Miro

What if you could create personalized sales demos in minutes instead of spending an entire day preparing? With Claude AI and Miro, you can turn account research into tailored, interactive demos that speak directly to your customer's needs. In this video, discover how the Miro team built an AI-powered demo builder that brings together customer insights from Salesforce, Gong, Slack, and other sources into one account dossier. From there, Claude uses that context to create personalized demos in Miro, reflecting each customer's workflows, terminology, and existing tools.

Meet Employee Service AI Agents: Automate legal data requests | Zendesk

Discover how Employee Service AI Agents go beyond answering questions to get the work done. In this video, see how an AI agent handles a personal data request by: Learn how legal teams can easily build these workflows using natural language in Advanced Action Flows and connect them to Employee Service AI Agents. 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.

How to Use Rovo with GitHub: 5 AI Workflows for Pull Requests and Releases

Rovo connects GitHub to Jira and Confluence through the Teamwork Graph, so you can ask it which pull requests to review first, what's blocking a release, what shipped this week, and which pull requests are ready to merge. In this video, you'll see five ways engineering teams use Rovo with GitHub to cut context-switching and find answers that would normally mean checking every repository, Jira board, and release doc.

Claude + Miro: Automatically Visualize Changes in Your Repo

Want to keep your system architecture diagrams up to date without manually documenting every code change? In this tutorial, we'll show you how to use Claude scheduled tasks and Miro to automatically visualize changes to your GitHub repository. Learn how to set up a scheduled task that checks your repository for new pull requests, generates updated system architecture diagrams, and visualizes exactly what's been added or removed. You'll also see how Miro makes it easy to compare architecture snapshots, track changes with timestamps, and review proposed updates with your team.

Connect Discovery to Delivery with Miro + AI

Your customer insights, product requirements, and design decisions live across different tools. How do you bring them together to decide what to build and give engineering the context to move forward? In this demo, follow a mobile banking app refresh from product discovery to an interactive prototype and engineering handoff with Miro, Claude, and Cursor.