How to Automate Sales Call Documentation and CRM Updates with tl;dv
Sales calls generate critical customer intelligence — pain points, objections, timelines, budget details — but most of this information lives in scattered notes or forgotten memories rather than structured CRM records. tl;dv automates the entire pipeline from call recording to CRM update, ensuring every sales conversation produces documented, actionable customer intelligence.
Step 1: Install and Configure tl;dv
Install the tl;dv browser extension from the Chrome Web Store or the desktop app from tldv.io. During setup, connect your calendar (Google Calendar or Outlook) so tl;dv auto-detects upcoming meetings and joins them without manual intervention. Configure your default settings: transcription language, summary format preference (bullet points vs. narrative), and whether to record video alongside audio.
Connect your CRM — tl;dv supports Salesforce, HubSpot, and Pipedrive. For Salesforce, authenticate with your org credentials and map which objects tl;dv should update (Contacts, Opportunities, Activities). For HubSpot, connect your portal and specify deal and contact sync preferences. This CRM connection is what transforms tl;dv from a transcription tool into a sales intelligence platform.
Step 2: Conduct Your Sales Call Normally
Join your Zoom, Google Meet, or Teams call as usual. tl;dv’s indicator appears in the call interface showing it’s recording and transcribing. Conduct the conversation naturally — no need to modify your speaking style or slow down for transcription. tl;dv handles real-time transcription in the background.
During the call, if you hear a particularly important point — a customer stating their budget range, revealing a competitor they’re evaluating, or committing to a timeline — click tl;dv’s “Highlight” button or use the keyboard shortcut to mark that moment. These manual highlights supplement the AI’s automatic detection of key decisions and commitments.
Step 3: Review the AI Summary and Action Items
After the call ends (within 2–5 minutes), tl;dv generates a complete AI summary in your dashboard. The summary includes: call overview paragraph, key decisions list, commitments and action items with suggested assignees, and any objections or concerns raised by the prospect. Review this summary for accuracy — tl;dv’s AI is highly accurate, but verify specific numbers, dates, and names.
Edit any action items: assign them to the correct team member, set due dates, and add context. These items will sync to your connected project management tool (Slack, Notion, Jira) and CRM as activities/tasks associated with the relevant contact.
Step 4: Verify CRM Sync
Open your CRM and check that the call record has been created under the correct contact/deal. tl;dv automatically creates an activity record containing: call date and duration, AI summary text, transcript link, and action items. For Salesforce, this appears as a Task under the Contact; for HubSpot, as an Engagement on the Deal.
Verify the data mapping — ensure the right contact is linked, the deal stage matches the current status, and any new contacts mentioned in the call are created. tl;dv’s AI attempts to match mentioned names to existing CRM records, but new contacts may need manual confirmation.
Step 5: Share Insights with Your Team
For important calls, create a highlight clip of the most compelling moment — the prospect expressing excitement about a specific feature, or revealing a pain point your product solves perfectly. Share this clip in your team’s Slack channel so colleagues can hear the customer’s actual words rather than reading your paraphrased notes.
For manager review, share the full AI summary with timestamped transcript access. Your sales leader can scan the 2-minute summary instead of rewatching a 45-minute call, and click timestamps to jump to specific sections when deeper context is needed.
This automated workflow means every sales call produces: a CRM record with structured intelligence, assigned action items, shareable highlight clips, and a searchable transcript — all without manual data entry. The time your team saves on post-call documentation directly translates to more selling time and better pipeline management.
