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Call Center Technology

LISNO

From call recording to review and follow-up.

LISNO is an AI-assisted call transcription and translation system for call centers and customer-service teams. It brings the recording, transcript, analysis, follow-up work, and reports into one place for review.

See the system in practice

Project overview

What LISNO brings into view

LISNO was developed as an internal system for call-center and customer-service operations. It helps teams move from a conversation to a reviewable record, then to quality checks and follow-up work.

The call remains the reference point while people examine its content and decide what happens next.

  • Transcribe and replay

    Read a speaker-by-speaker transcript alongside call details and audio playback, with real-time transcription described in the original project scope.

  • Review across languages

    Multilingual translation helps reviewers work with conversations across language boundaries while retaining the original call for context.

  • Assess and report

    AI summaries, sentiment and keyword signals support quality review; dashboards and reports help supervisors examine activity and pending follow-ups.

Screen

Inside the LISNO workflow

These product screens show where a reviewer examines a call, where a supervisor sees work in progress, and how reports are prepared. The figures are interface examples, not performance results.

LISNO call detail screen showing a conversation transcript, AI summary, sentiment, and audio playback. Enlarge product screen

Choose a LISNO screen

Screen 01

Review the conversation

The call detail combines status and caller context with speaker turns, the recording, an AI summary, and sentiment information so a reviewer can compare the interpretation with the conversation.

Operating flow

How a call becomes reviewable work

The original project scope covers call monitoring, transcription, multilingual translation, analysis, quality review, and reporting. These stages explain how those functions fit together for a call-center team.

  1. Find the call

    Start from a call record with status, caller information, and the recording instead of relying on a separate note about what happened.

  2. Read and listen

    Review the transcript and audio together. Translation provides another way to inspect multilingual conversations.

  3. Check the interpretation

    Compare AI-generated summary, sentiment, and keyword cues with the source conversation during quality review.

  4. Follow up and report

    Use follow-up management and reporting views to track outstanding work and examine call activity over a selected period.

Build context

Technology foundation

LISNO uses Vue.js, Python, PostgreSQL, Docker, and bare-metal Linux infrastructure.

Frontend

  • Vue.js

Backend

  • Python

Database

  • PostgreSQL

Infrastructure

  • Docker
  • Bare-metal Linux

Discuss your call-center workflow

Talk with Coral System Technologies about call records, quality review, and follow-up work in your operation.

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