Work moves fast when teams are aligned, focused, and in flow: solving problems, making decisions, and moving projects forward. But, the follow-up tasks that live in between, such as reporting issues and documenting project work, interrupt that momentum.
Let Loom AI Do the Work: Say Goodbye to Manual Documentation with Loom AI Workflows
The feeling of peak productivity is incredible. But, when we’re working fast and working remotely – time-consuming and critical processes like bug reporting, documentation, and code reviews get bottlenecked. That’s why we built our newest addition to the Loom AI suite: Loom AI workflows. Now, in a few clicks, you turn any Loom into a […]
Today, we’re excited to announce brand new AI workflows that turn Loom recordings into ready-to-ship work, without the added meetings and admin. These workflows include an enhanced bug reporting mode and smarter Jira work item updates that deepen the link between how teams communicate and where teams work. Using Loom’s rich technical and conversational context to drive work across Atlassian, these workflows power end-to-end bug fixes, smarter incident response, and always-current task management directly in Jira, Confluence, and Rovo.
Turn Loom bug reports and meetings into dev-ready work
This launch builds on Loom’s deep integration with Atlassian’s Teamwork Collection – powered by Loom, Jira, Confluence and Rovo – enabling teams to turn bug reports and meetings into dev-ready work in minutes.
Loom’s bug reporting mode now documents technical context, making it easier and faster to capture, diagnose, and fix issues with fewer follow ups for context in between. In a few clicks, teams can turn visual walkthroughs into Jira work items with rich, technical context attached.
Soon, AI‑suggested Jira work item updates based on Loom meeting recordings and recaps will extend these workflows by helping teams capture decisions and action items based on meeting discussions, keeping Jira boards up to date with less manual follow‑up.
Richer bug reports, with technical context built in
Unstuck your meetings: Loom’s new AI for productive meetings
Meetings are a staple of modern work life. Yet, they often feel more like an obligation than an opportunity for collaboration. We’ve all experienced the dread of calendar overload, the frustration of unclear agendas, and the universal joy when a meeting is unexpectedly canceled. But what if meetings could be different? What if they could be streamlined, productive, and even—dare we say—enjoyable? The future of meetings is here, and it’s powered by AI. Introducing Loom AI for meetings, the transformative tool that brings cutting-edge AI into your meeting room, redefining collaboration. Let’s explore how you can break free from the cycle of ineffective meetings and reclaim your time.
A clear bug report is the difference between a quick fix and a long investigation. Even with screenshots, descriptions, repro steps, and video walkthroughs, teams still have to chase for technical details they need to act. That gap turns into back-and-forth messages and extra syncs before any work can even begin. Once teams get to the bottom of the issue, there are still many manual steps to tackle between discovery and fix: confirming the setup, reproducing the bug, structuring and logging the Jira work item, writing and testing code, opening a pull request, getting it reviewed, and merging the change, to name a few.
Loom now compresses that journey into an end-to-end, automated workflow with Jira and Rovo. Our enhanced bug report mode now auto-captures technical context – the browser and device information, network data, console logs – and turns it into a dev-ready Jira work item.
With critical technical details captured up front and sent to Jira, teams can then use Rovo to break down the work and kick-start requirements, moving from “what went wrong” to “here’s the fix” much faster.
Bug reporting mode is available in the Loom Chrome Extension for customers on a Loom Business + AI or Enterprise plan, and in Jira for customers on a paid Jira plan with the Loom Chrome Extension installed.
See it in action
How Datasite cut 4,000 meetings and built a culture of time empathy using Loom
Pairing Loom with Jira and Confluence helped Datasite replace status meetings with rich video updates to keep context flowing.
How it works:
- In the Chrome Extension, click the pencil icon next to Start Recording and select Bug report.
- Record a Loom video reproducing the issue you discovered.
- Loom automatically captures the browser, device, network and console log details.
- After recording, AI generates a report with the description and technical details.
- From there, click Create in Jira to automatically create a work item in your desired Site and Space.
When the right context is captured up front and where teams work, teams can move faster and stay in flow.
By embedding Looms in Jira tickets, a team recently resolved a complex UI regression without a single “sync,” as the video provided the visual proof, network logs, and intended fix in one 3-minute clip. This asynchronous approach typically eliminates 3 to 5 hours of meetings per developer per week, primarily by replacing daily stand-ups and “quick clarification” calls. On average, teams report a 25-30% reduction in total meeting volume once Loom becomes the default for status updates and technical handoffs.”
Shivi Verma, Senior Manager, Cloud Apps Engineering at Docusign
Turn meetings into progress without the follow-up admin
Most teams still rely on recurring status meetings and project boards to stay aligned: review priorities, discuss progress, address blockers, agree on next steps. Meanwhile, more time goes into making sure the project board reflects what was discussed both during and after the meeting. This follow-up slows momentum and eats into time that could be spent on moving projects forward.
Loom’s new AI-suggested Jira work item updates transforms meeting discussions into structured updates on your Jira board, so teams can spend less time recapping and more time in flow. Instead of re-typing notes or combing through recordings, teams can record key meetings with Loom, get suggested Jira work item updates based on what was discussed, and apply those updates without the extra admin or follow-up.
Built for how and where teams work
Work happens in conversation, collaboration, and problem-solving. These workflows are designed to capture what happens in those moments and turn them into real progress, reallocating time from follow-ups to moving work forward.
Ready to swap busywork for moving work forward? Try the new workflows for fewer status loops and manual updates, and more time focused on solving problems and delivering impact.
