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TeleFinity AI Speech Analysis

Turn recorded calls into useful business knowledge.

Turn customer conversations into searchable transcripts, concise summaries and structured insights. Review customer needs, sales questions and service issues with text and audio together.

Bring Arabic and English conversations into a connected review experience within WebPhone, with recordings, transcripts and analysis in one workspace.

Understand the conversation. Decide what needs attention.

Make information easier to find

Start with a summary, read the transcript for detail and navigate to the relevant audio instead of replaying every conversation from beginning to end.

Prepare more informed follow-up

Revisit the customer’s questions, requirements and commitments, with a shared conversation record to support the next discussion.

Ground coaching in specific exchanges

Use transcript passages and audio chapters to give feedback around what was actually discussed.

From spoken conversations to structured insight.

Recorded-call transcription

Turn an eligible recorded conversation into readable text, making spoken information easier to review and retrieve.

Speaker labels and timestamps

Follow chronological contributions with speaker labels and timing information. Speaker separation distinguishes voices; it does not verify a person’s identity.

AI-generated summaries

Start with a concise overview of the discussion before reading the full transcript or listening to the recording.

Topic identification

See the main subjects discussed, from product questions and billing enquiries to service issues and appointment details.

Sentiment indicators

Review an estimated sentiment label and score as one signal for closer investigation. Interpret it alongside the wording, context and recording.

Conversation chapters

Review sections with titles, summaries and time ranges to understand how a longer conversation develops.

Interactive chapter timeline

Select a chapter to move playback to the associated point in the recording. AI-generated chapter boundaries may be approximate.

Extracted information

Inspect recognized names, organizations, locations, dates, times and telephone numbers. Verify important references against the conversation before using them.

Recording playback

Listen to the audio alongside the transcript and analysis, so findings can be checked in their original context.

Recording search

Find interactions using telephone number, transcript text, analysis text and date/time filters. Review agent, remote number, duration and call direction in the recorded-call list.

Export and printing

Export rendered analysis and transcripts as HTML. Use the browser’s print workflow for printed copies or PDF output.

Permission-controlled access

Give authorized users access through recorded-call permissions, with organizational rules for handling recordings, analysis and exported files.

From recording to review, in six steps.

01 — Select an eligible recording

When transcription is enabled, an eligible recorded call is processed for speech recognition and analysis.

02 — Read the conversation

Review a chronological transcript with speaker labels and timestamps.

03 — Explore the analysis

Read the summary, topics, sentiment indicators, chapters and extracted details.

04 — Review in WebPhone

Open the selected call’s AI Speech Analysis or Transcription view within the recorded-call workspace.

05 — Check the relevant audio

Use playback and the chapter timeline to revisit important passages.

06 — Document the review

Export HTML or use printing and browser PDF output for an authorized internal handoff.

Arabic and English, in one review experience.

English conversations

Read discussions, inspect summaries, identify topics and retrieve important references from recorded English calls. Evaluate the accents and terminology relevant to your customers.

Arabic conversations

Review Arabic transcripts, summaries and structured analysis with right-to-left presentation. Assess performance using the regional dialects, expressions and terminology your customers actually use.

Bilingual and additional-language needs

Evaluate recordings that switch between Arabic and English, including product names and business terminology. Confirm and test additional languages for the intended deployment.

Conversation evidence for teams across your business.

Customer service

Revisit requests, complaints and explanations to understand what the customer needed and how the conversation unfolded.

Sales follow-up

Review requirements, objections, product questions and commitments before the next customer conversation.

Quality assurance

Use transcripts, summaries and audio as evidence during human interaction reviews.

Employee coaching

Select specific exchanges and chapters for focused feedback and training discussions.

Marketing research

Examine the language customers use, questions they ask and reactions they share to inform messaging and voice-of-customer research.

Product improvement

Review descriptions of problems and requested improvements to inform product discussions.

Operations

Investigate unclear explanations, communication gaps and issues requiring coordination between teams.

Complaint investigation

Locate the relevant recording and compare the conversation with the issue under review.

Management reviews

Use reviewed conversation evidence to inform service and process improvement discussions.

Customization

Shape the analysis around your review needs.

Start with the available recorded-call review experience, then agree any tailoring your organization needs. Customization scope and availability are confirmed for the project.

Business terminology

Tailor the review approach around relevant product names, services, abbreviations and expressions.

Summary formats and extracted fields

Agree the information most useful to your team, such as customer requests, discussion points, reference numbers or stated outcomes.

Conversation categories

Scope classifications that reflect your contact reasons, industry and review process.

Language and presentation

Assess dialect requirements, additional languages, bilingual presentation and branding needs.

Review workflows

Shape the experience around the responsibilities of supervisors, quality teams, sales managers and other authorized users.

Reporting and business-system connections

Discuss additional reports or connections to your business systems as a separately scoped customization.

Keep the recording at the center of your review.

Check important findings

Audio quality, background noise, overlapping speech, accents and terminology affect results. Use summaries, sentiment and extracted details to support human judgment, and verify important conclusions against the recording.

Agree data-handling requirements

Define who can access calls and analysis, how long information is retained, how exported files are handled and the processing arrangements appropriate to your organization.

Evaluate your own use case

Assess representative calls and measure transcript usefulness, retrieval effort and the accuracy of important details. Confirm any requirements for live assistance, automated scoring, redaction, translation or aggregate dashboards separately.

Your AI Speech Analysis questions, answered.

What does AI Speech Analysis provide?

It brings recorded-call transcripts, summaries, topics, sentiment estimates, chapters, extracted details and audio playback together for review in the WebPhone environment.

Does it analyze recorded or live calls?

The described workflow processes eligible recorded calls when transcription is enabled. Processing time depends on recording length and workload. Live assistance is a separate requirement to discuss.

Can we review Arabic and English calls?

Arabic and English are the focus of the documented workflow, with appropriate text-direction handling. Validate the dialects, accents, terminology and language switching represented in your own recordings.

How should we use AI-generated findings?

Use them to support human review. Summaries, sentiment, speaker labels and extracted details can contain errors. Check important conclusions, names, dates and numbers against the transcript and recording.

Can we export the results?

Yes. Export analysis and transcripts as HTML, or use the browser’s print workflow to print or save a PDF. Apply your organization’s rules to exported material.

Can the experience be tailored to our business?

Yes. Discuss terminology, summary formats, extracted fields, categories, language needs, presentation, reporting and review workflows. Agree the final scope and validate it against your requirements.

Explore the insights in your recorded conversations.

Bring your review goals, language needs and representative call scenarios. See how TeleFinity AI Speech Analysis can support your team.

Discuss your use case