Conversation structure
Move beyond a folder of recordings
Turn audio into transcripts, summaries, detected topics, outcomes, and action items that teams can search and use.
Deploy / Call intelligence
Read Every Call Use Every Insight
Turn conversations into searchable insights about topics, objections, sentiment, quality, and follow-up actions.
Topic detectionAction itemsCall summaries
Connect speech analytics to your existing tools
Call recordings
CRM
Help desks
Data warehouses
BI tools
Webhooks
From call to action
Structure the conversation, validate the pattern, close the loop.
Capture the right data, extract useful fields, inspect the source conversations, and route findings back to the teams that own the outcome.
- 01
Capture the call
Ingest the recording and relevant metadata under the appropriate policy.
- 02
Structure the content
Create a transcript, summary, topics, outcomes, and action items.
- 03
Review patterns
Filter trends and open the underlying calls to validate the finding.
- 04
Close the loop
Send next steps to owners and measure whether the workflow improves.
Inside the analysis layer
Every call becomes searchable evidence, not another recording.
Transcripts, workflow-specific fields, and trend views turn unstructured audio into information teams can verify and act on.
Operational trends
See what is happening across many calls
Compare recurring questions, objections, resolution patterns, and call drivers by workflow, team, campaign, or time period.
Actionable output
Send the finding to the team that can act on it
Route structured summaries and follow-up items into customer systems instead of leaving insights isolated in an analytics dashboard.
Call intelligence
Actionable Call Analytics
Move structured call data into your reporting and customer systems.
Plan your integrationSpeech Analytics exampleAnalysis complete
- 1CustomerReturns workflow · Analysis complete
- 2Speech AnalyticsDelivery delay identified as the leading call topic.
- 3Connected actionFollow-up tasks prepared
Transcripts, extracted fields, and source-linked metrics turn every call into information teams can inspect and use.
Use cases
Where speech analytics helps your team.
Support analysis
Find common contact drivers, repeat issues, and unresolved requests.
Better service designSales intelligence
Track objections, competitor mentions, intent, and promised follow-ups.
Stronger coachingOperations reporting
Compare call outcomes and demand across locations or workflows.
Clearer prioritiesSpeech Analytics at a glance
The details your team can evaluate.
Search
transcripts and call topics
Track
outcomes and action items
Learn
patterns across calls
Analysis engine
Conversations become structured, traceable evidence.
Transcripts, extracted fields, and source-linked metrics turn every call into information teams can inspect and use.
Conversation structure
Move beyond a folder of recordings
Turn audio into transcripts, summaries, detected topics, outcomes, and action items that teams can search and use.
Insight layer
Frequently asked questions
What data teams ask before analyzing calls.
A practical overview of speech analytics, setup, and how your team stays in control.
What can be extracted from a call?
Depending on the configured analysis, a call can produce a transcript, summary, topics, intent, outcome, named action items, and workflow-specific fields.
Can teams verify an analytics finding?
Yes. Trend views should link back to the relevant calls, transcript segments, and metadata so reviewers can validate a pattern rather than relying only on an aggregate label.
How is call data sent to other tools?
Structured fields, summaries, and action items can be sent through supported integrations, exports, or webhooks to CRM, support, and data systems.
What privacy controls should we consider?
Define a lawful recording and analysis policy, limit collected data, set appropriate access and retention, redact sensitive information where needed, and review requirements for every operating region.
Start building
Turn one high-volume call workflow into measurable data.
Start with one speech analytics workflow, connect the tools it needs, and expand from real results.
✓ Topic detection✓ Action items✓ Call summaries