Teams | Collaboration | Customer Service | Project Management

The latest News and Information on Collaboration, tools and related technologies.

Building to learn: rethinking the product playbook

At Canvas 26 in San Francisco. Ravi Mehta — product strategy advisor, longtime product leader, and teacher of Reforge’s AI strategy and AI prototyping courses — laid out a bold vision for product teams: unlearn the MVP, trade the assembly line for a jazz band, and expect the playbook to reset every six months.

Turn knowledge in Google Drive and Microsoft SharePoint into connected context

Bring document knowledge you already have access to from Google Drive, SharePoint, and OneDrive into Rovo Search, Chat, and Agents so teams can move from questions to useful context faster. The project plan is in Google Drive. The financial model is in SharePoint. The work is tracked in Jira, and the decisions are documented in Confluence. Your team has the information it needs.

Slack School | How to Ship Your Slack App

Building a custom Slack app feels great. Pushing it live without breaking anything? Even better. In this episode, we'll show you how easy it is to move your app from a test sandbox to full production with the Slack CLI. You’ll learn how to switch between environments safely, avoid common deployment hiccups, and set up a smooth workflow you can use on every project from here on out. Class dismissed!

Miro x Endava: Powering Dava.Flow AI-Native Delivery

Miro and Endava have partnered to embed collaborative AI workflows into Dava.Flow, Endava's AI-native delivery model — helping global teams design, align, and deliver complex transformation programmes faster. By deploying Miro enterprise-wide, Endava is strengthening how its teams run workshops, align stakeholders, and hand over work across programmes. Early adoption is already showing measurable improvements in workshop outcomes, stakeholder alignment, and handover quality — with some processes reduced from weeks to days through automated, multi-step AI flows.

How Can Remote Teams Centralize Project Feedback and Decisions?

Centralized project feedback is the foundation of effective collaboration for remote teams. Without a single place to collect, review, and track feedback, important decisions get buried across chats, emails, and meetings, leading to confusion and unnecessary rework.

Automations in Jira with Cursor | Atlassian

What if every incoming issue could trigger Cursor Agent automatically? With agent automations in Jira, you set a condition, like a specific summary prefix for security issues or improvement requests, and when a matching ticket lands, your chosen coding agent (Jira Coding Agent, Claude, or Cursor) picks it up and gets to work. No manual triage, no delay. Set it once, and your agents do the rest. Watch to see how to wire up agent automations in Jira step by step.

Shattering the service quo starts with context

AI is changing expectations for service. Employees want help that feels seamless. Customers want answers without long waits or repeated explanations. Operations teams want to get ahead of incidents and prevent disruptions rather than just respond. Those expectations rest on a critical dependency: context. AI is only useful when it can see the full picture – from people and knowledge to services, assets, and code – and all connections in between.

From prompts to orchestration: Scale AI coding agent impact with Jira Automation

Connect any coding agent to your system of record to automate engineering loops AI coding agents have made individual developers faster. But faster individuals working in their local environments do not automatically create faster engineering organizations. The bottlenecks that slow software delivery are usually systemic: work stalls in human queues, triage waits for idle cycles, and routine handoffs depend on manual intervention.