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Pulse · Conversation AILive

Every word, transcribed live.
Intent, detected instantly.

Real-time speaker-attributed transcription with live AI signal detection — intent, quote requests, price inquiries — plus sentiment scoring and IVR/caller/agent separation, all surfaced mid-call before payout.

Live US numbers in 15 minutes
pulse.teldrip.com / conversation-ai / live

Live Transcript · medicare_advantage · #9817241

Live
LIVE02:47 ↑
Medicare Advantage·+1 (407) 555-0182·Agent: Sarah K.
IVR00:04

“Thank you for calling Plan Services. Please hold while we connect you to an enrollment specialist…”

CALLER00:12

“Hi, I’m interested in Medicare Advantage plans. I turn 65 in March and want to compare options.”

AGENT00:18

“Perfect timing — I can walk you through plans in your area. Can I confirm your zip code?”

CALLER00:25

“Sure, 33602. Also curious about prescription coverage…

High intent detectedQuote requestedPrescription inquiry
Sentiment
+0.84 · Positive
How it works

From first word to actionable signal.

Call connects

Audio streams from the carrier into the real-time inference pipeline. IVR, caller, and agent legs are separated at the carrier level before transcription begins.

AI transcribes live

Speech-to-text runs continuously with sub-second latency. Speaker labels (IVR, CALLER, AGENT) and timestamps attach to every utterance as it arrives.

Signals surface

Intent signals, quote requests, price inquiries, and prescription questions fire as chips the moment the AI detects them — supervisors and routing rules react instantly.

Summary generated

At call-end, an AI summary captures outcome, key topics, and compliance notes. Sentiment score, key moments, and the full transcript land in the post-call record within seconds.

What's inside

Every moving part.

Real-time transcription

Speech-to-text with sub-second latency, speaker attribution, and timestamp tagging for IVR, caller, and agent legs — updated continuously as the call unfolds.

Speaker separation

Three-way speaker labeling — IVR, CALLER, AGENT — derived from carrier leg separation rather than acoustic diarization. Attribution accuracy is near 100% on stereo recordings.

AI signal detection

High intent, quote requests, price inquiries, prescription questions, and custom signals fire as tagged chips mid-call — feeding routing rules, quality scores, and supervisor alerts in real time.

Live sentiment scoring

Polarity scored continuously as the conversation unfolds. Sentiment drops trigger live alerts for supervisors and flag calls for QA review before the line goes dead.

Key moment detection

Intent, qualification, conversion, and concern moments tagged by timestamp as they happen — visible in the live transcript and linked to the exact second in post-call review.

AI call summary

At call-end the AI generates a concise summary covering caller intent, agent actions, compliance status, and outcome — delivered to the post-call record within seconds of hangup.

Built for

The verticals where every word is money.

Medicare compliance monitoring

CMS disclaimer detection, prescription inquiry tracking, and eligibility signal capture — live, on every call, before the agent transfers or hangs up.

Auto insurance agent coaching

Live intent chips surface quote requests and switch-carrier signals the moment they appear — giving supervisors a whisper window before the caller decides.

Solar lead quality

Price inquiries and homeowner confirmation signals flag high-intent solar leads in real time so premium buyers can intercept before transfer quality degrades.

Financial services scripting

Script adherence signals fire when agents deviate from approved rate-disclosure language — live, before compliance issues compound into disputes.

Questions

What teams always ask.

Audio streams from the carrier into the real-time inference pipeline the moment a call connects. Speech-to-text runs continuously with sub-second processing latency, attaching speaker labels (IVR, CALLER, AGENT) and timestamps to every utterance. Speaker separation is carrier-level, not acoustic diarization, so attribution accuracy is near 100% on stereo recordings.

Built-in signals include: High intent, Quote requested, Price inquiry, Prescription question, Switch carrier, Refund request, DNC trigger, and Compliance risk. Custom signals are configurable per workspace using keyword lists and semantic patterns. Each signal fires as a chip in the live transcript and attaches to the exact timestamp for post-call review.

Sentiment is scored continuously on a +1 to −1 polarity scale. The live sentiment bar updates as each utterance arrives. Drops below a configurable threshold trigger supervisor alerts and automatically flag the call for QA review. Post-call records show the full sentiment trajectory across the call timeline.

Key moments are conversation milestones tagged by the AI at the exact second they occur: Intent (caller expresses purchase intent), Qualify (agent collects qualification criteria), Convert (sale or transfer confirmed), and Concern (sentiment drop or objection). Moments appear in the live transcript and are bookmarked in the post-call recording for one-click review.

The AI summary lands in the post-call record within seconds of call-end for typical 4–5 minute calls. The summary covers: caller intent, key topics discussed, agent actions, compliance check status, and call outcome. Summaries are searchable and filterable in the transcripts library alongside the full speaker-attributed transcript.

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