Go beyond the calls you sample.

Give every recorded call an automated first review. Transcribe conversations, check your policies and surface findings for your team, with no per-agent or per-call software fee.

For your team: The goal is 100% of eligible recorded calls evaluated. Your hardware and processing window determine how much you can cover.
Audience: QA leads, reviewers and operations teams in 100-agent customer-service contact centers.

Why it matters

A small human sample leaves most conversations unexamined. At the calculator’s 2% starting sample, 98 out of every 100 calls sit outside routine QA. An automated pass gives your team a wider view of what customers experienced.

For a 100-agent contact center, that means looking across the workload for missed policy steps and recurring problems. People still check the findings and decide what needs attention.

Read the outcomes and evidence for full call coverage.

How it works

01
Bring your recordings
Import the calls you are authorized to analyze. Start with a representative mix of your customer-service conversations.
02
Evaluate locally
Call1 transcribes the audio, separates speakers, masks personal information in text and runs your rubric and Contact Signals.
03
Check coverage and findings
See which calls finished processing and which need attention. Review the evidence behind the results.

What’s included

Searchable transcripts

Find calls by meaning and jump to the relevant transcript turn, rather than searching only for exact words.

Call summaries

Use a summary to get oriented, then open the supporting conversation when you need the detail.

Completion status

Pending, partial and failed processing stays visible so an unfinished call is not counted as a complete evaluation.

Your data

Recordings and results stay on hardware you control in the local workflow. Your team manages who can access them and how long to retain them.

Before you roll out

Size by audio hours

A 100-agent center can produce more audio than one machine can process overnight. Test representative calls with your chosen models and rubric before sizing the deployment.

What we have measured

One warm run processed 54.5 minutes across six retail calls at 221 audio minutes per hour on an M3 Pro with 18 GB memory, using rules-based Contact Signals. This measures processing throughput; it does not establish capacity for a 100-agent center or reviewer time saved.

Availability

Recorded-call analysis is part of the working free local platform. Live agent assistance is outside this workflow.
100% coverage is the deployment target. Full-pipeline processing across multiple machines is still planned.

Questions for your team

01
How much recorded audio arrives each day, and when must it be ready?
02
Can your available hardware finish that workload within the processing window?
03
Which incomplete calls need follow-up, and who owns that follow-up?