Client quotes buried in your voice
Without speaker identification, a client's key objection looks like something you said. Managers can't coach effectively when they don't know who's talking.
Speaker Identification
Meeting speaker identification.
Know who said what.
Reedly's AI automatically identifies speakers in your client meetings—distinguishing your voice from the client's, and attributing every statement to the right person. No more confusion about who raised an objection or made a commitment.
C
Sales Rep — Pierre D.
We can offer you a guaranteed allotment for the peak season...
Client — Marie L.
We'd need to see the rates. Last year was too expensive.
C
C
Sales Rep — Pierre D.
I'll send you the updated price list by Friday.
Problem
Mixed-up voices.
Useless reports.
When every quote gets jumbled together, your meeting transcripts become impossible to use. You can't tell which concerns came from the client and which responses came from you.
Manual cleanup after every meeting
You waste 15 minutes per report trying to remember who said what, editing transcripts to label speakers correctly before you can even start the report.
Lost context in team reviews
When managers review reports, they can't distinguish client concerns from rep responses. Coaching becomes guesswork instead of precision feedback.
Solution
Conversation diarization.
Automatic attribution.
Reedly's AI listens to vocal patterns and automatically identifies who's speaking throughout the meeting—separating your voice from the client's with precision.
1
AI analyzes voice patterns
During transcription, the diarization engine identifies distinct speakers based on vocal characteristics, pace, and audio signatures—no manual setup required.
2
Statements attributed automatically
Every sentence gets tagged: Sales Rep or Client. The AI knows which objections came from the prospect and which answers came from you.
3
Reports show clear attribution
Your structured report separates client statements from rep responses. Objections, needs, and commitments are attributed to the right speaker—ready for review and coaching.
Benefits
Clear voices.
Actionable insights.
Client concerns properly captured
Know exactly which objections and needs came from the client's mouth—not mixed up with your pitch. Every concern gets proper follow-up.
Accurate coaching data
Managers see precisely how reps respond to client questions. Coaching becomes data-driven when you can review actual rep-client exchanges.
No manual transcript editing
Stop wasting time labeling who said what. The AI handles meeting speaker identification automatically—you get clean attribution in under 2 minutes.
Reliable commitment tracking
When a client says 'I'll send that budget next week,' it's clearly attributed. No confusion about who made which commitment.
Better pipeline accuracy
Client-voiced buying signals are separated from rep assumptions. Your pipeline reflects what prospects actually said, not what you hoped they meant.
Cleaner CRM records
Reports synced to your CRM show clear speaker attribution. Future reps reviewing the account know exactly what the client requested versus what was proposed.
Use Cases
Who uses speaker identification?
Complex multi-stakeholder meetings
When three client contacts attend a demo, speaker identification tracks which decision-maker raised budget concerns versus which champion voiced enthusiasm.
Sales coaching and training
Managers review reports to see how junior reps handle specific objections. Clear attribution makes coaching conversations concrete, not vague.
Dispute resolution and alignment
When clients claim 'we never agreed to that,' pull up the attributed transcript showing exactly who committed to what during the meeting.
Handoff between account teams
When a rep leaves or an account transfers, the new owner reads past meeting reports and knows which statements came from the client versus the previous rep.
FAQ
Frequently asked questions
Reedly's conversation diarization analyzes vocal patterns, pitch, pace, and audio signatures during transcription. The AI identifies distinct speakers and labels each statement as Sales Rep or Client—automatically, with no training required.
Yes. If multiple client contacts attend the meeting, Reedly identifies them as separate speakers and labels them as Client 1, Client 2, etc. You can manually rename them in the report after generation.
No. The who spoke in a meeting AI works immediately without voice training. It distinguishes speakers based on real-time analysis during each recording—no setup or calibration needed.
Reedly's diarization is optimized for typical vocal differences in conversation. In rare cases of very similar voices, the AI may occasionally misattribute a statement—but accuracy exceeds 90% in standard conditions.
Yes. If the AI misattributes a statement, you can manually reassign it to the correct speaker in the Reedly app before sharing or exporting the report.
The AI performs best in clear audio conditions. Background noise can reduce diarization accuracy, but Reedly's noise filtering improves speaker separation even in moderate ambient sound.
Chaque rendez-vous terrain
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