Loom

Loom looks simple from the outside: hit record, send a link. The reason it is now everywhere in mid-market ops is what happens when you stop treating it as a Slack toy and start treating it as the async layer of the company. The teams getting outsized return on Loom are not the ones recording more videos. They are the ones who have wired Loom into the same systems that already run their business.

What Loom Does

Loom records screen, camera, and microphone in one click and pushes the result to a hosted, shareable URL within seconds. The product spans a Chrome extension, a desktop app for Mac and Windows, and mobile apps, so the same recording habits work whether someone is in a CRM tab, a Figma file, or a customer call replay.

• Screen, camera, and audio capture with adjustable layouts, custom backgrounds, and one-click sharing to any URL or embed.
• Transcripts and closed captions auto-generated in 50+ languages, searchable across the whole video library.
• In-video comments, emoji reactions, time-stamped tasks, and CTAs that turn passive watching into a back-and-forth thread.
• Trim, stitch, and overlay editing. Enough to clean up a recording without exporting to a separate editor.
• Viewer analytics that show who watched, how long, and where they dropped off, per viewer, not just aggregate.
• Native integrations with Slack, Gmail, Notion, ClickUp, Jira, Salesforce, and HubSpot, plus 400+ tools via the wider integration network.
• Enterprise controls: SSO, SCIM, audit logs, custom data retention, and Salesforce-grade compliance on the top tier.

Loom's AI

Loom AI is what turns a recording habit into a knowledge system. Every Loom is auto-titled, auto-summarised, and broken into chapters. Filler words and dead air are stripped without re-recording. Action items spotted in the transcript become tasks. The new meeting-recap feature emails a written summary to attendees the moment the call ends. The practical effect for an operator: the cost of recording a Loom drops to near zero, which is the only condition under which a team will actually do it consistently.

Automations We Build with Loom

Loom on its own is a recorder. Loom wired into n8n, ClickUp, Slack, the CRM, and the knowledge base is an async operating layer. These are the plays we run for mid-market ops teams who already have the tool but are not getting the return out of it.

• Transcript-to-SOP pipeline: every internal Loom triggers an automation that pulls the transcript, sends it to an LLM, formats it as a structured SOP, and posts it into ClickUp or Notion with the video embedded.
• Sales-Loom CRM sync: when an AE sends a Loom to a prospect, we log the share event, the view count, and viewer identity back to HubSpot or Salesforce as a timeline activity, and fire a follow-up task when the buyer rewatches it.
• Onboarding orchestration: a new customer hits a milestone in the product, an automation generates a personalised Loom request, the CSM records a 2-minute walkthrough, and the link auto-posts into the customer's Slack Connect channel.
• Bug-report-to-Jira flow: support records a Loom of the bug, Loom AI populates a Jira ticket with steps to reproduce, and the engineering team gets a fully-shaped issue rather than a screenshot in a Slack thread.
• Async stand-up replacement: each team member records a 90-second Loom in the morning, transcripts are summarised into a single digest, and the digest posts to the team channel before the day starts. The 30-minute stand-up gets killed.
• Performance-review feedback loop: managers record Loom feedback on rep calls or design work, the recording is auto-attached to the related project in ClickUp, and a review task is created with the Loom link as the brief.
• Knowledge-base auto-indexer: a nightly job pulls every new Loom transcript, embeds it, and stores it in a vector DB so an internal AI assistant can answer questions like "how do we onboard a new vendor?" with the exact Loom and timestamp.

Why Teams Choose Loom

• Lowest friction async-video tool on the market. The Chrome extension installs in 20 seconds and reps actually use it without training.
• Native AI features (titles, summaries, chapters, filler removal, meeting recaps) ship inside the recorder rather than as a separate product.
• Atlassian-owned distribution and roadmap. Loom is now wired into Jira and Confluence at the platform level, which matters if you already run Atlassian internally.
• Per-viewer analytics that show whether the right buyer or stakeholder actually watched, not just whether the link was opened.
• Enterprise controls (SSO, SCIM, audit logs, data retention) on the top tier. Enough to clear a typical mid-market security review without escalation.

Loom integrates natively with Slack, Gmail, Notion, ClickUp, Jira, Salesforce, HubSpot, and Confluence, with hundreds more accessible via Zapier or direct API. Pricing starts free for individuals, the Business plan typically lands around the high teens per user per month, the AI tier sits around the low-to-mid twenties per user per month, and Enterprise is custom. Pricing is current as of mid-2026 but always worth verifying on Loom's site. That's the build we do: the tool itself is the easy part, wiring it into your CRM, your knowledge base, and your async workflows is what turns Loom into actual operating value. If you already have Loom seats sitting half-used, that is exactly the kind of project we run.