System/Integrations/Integration
tl;dv
Conversations
A clip shared after a call rarely gets watched by anyone outside the room it happened in. tl;dv records the meeting and stores the transcript and clips a team shares, and Revenue Labs reads that transcript into deal state, so what was discussed sits on the account record.
Website
From source record to operating state
01 | The tool on its own
Searchable call records.
↓
02 | With AI bolted on
AI notes summarise the meeting.
↓
03 | A system that learns
Meeting becomes deal evidence.
The tool alone > AI bolted on > AI-native
What changes when tl;dv feeds a system that learns
Three jobs tl;dv already does, and what each becomes when its evidence joins live company, contact and deal state.
01 | The tool on its own
02 | With AI bolted on
03 | AI-native
Meeting recordings and searchable notes
Searchable call records.
tl;dv records meetings and stores the transcript, clips, and shared notes. A teammate reviews the source and decides which moment changes the account or deal.
AI notes summarise the meeting.
tl;dv's smart topics and templates summarise moments and link them to the recording. The notes remain meeting output, not shared state that learns from a later outcome.
Meeting becomes deal evidence.
tl;dv evidence is assigned to the matching company, contact, and deal once the surrounding activity has been considered.
Shared clips and timestamped notes
Source moments shared with the team.
Shared clips and timestamped notes let a colleague see the exact part of the meeting. The recipient chooses the moment, adds context, and decides what action it warrants.
Ask tl;dv AI answers from meetings.
Ask tl;dv AI can answer questions about a meeting and store the report in its library. The answer does not carry the account's full evidence or learn from the eventual deal outcome.
A clip changes the deal context.
Competitor mentions, objections, or decisions join the account and deal evidence, so every capability can inspect the source and the surrounding state.
Search summaries across calls
Themes can be found across calls.
AI search summary helps a team find a term across meetings and review the resulting conversations. People still judge whether the theme reflects a real account signal.
Search summaries stop at the meeting library.
tl;dv can summarise search results across meetings and export notes to connected tools. Closed outcomes do not feed that meeting-library pattern into its next decision.
Deal outcomes teach conversation patterns.
Meeting themes that precede wins, losses, and stalls become a learned pattern for the next account and deal review.
Runs on it
Capabilities that act on connected evidence
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