Voice bot QA on every call — before the customer reports the failure.

The way you QA human agents, at bot volume: define what a good call is — a scorecard of points plus the failure types you want caught — and let AutoQA answer it on every conversation the bot has. Ender Turing transcribes each bot call, scores it against the scorecard, tags the failure types it finds, and links every finding to the exact moment in the recording. Reviewers calibrate the AI on a sample; the AI listens to and analyzes everything.

Ender Turing marks a scorecard as automated and AutoQA answers every point on every call — did the bot confirm the identity, offer the right option, close the loop — with the accuracy of each point against your human reviewers shown and improved from their reviews. Failure types such as looping, interruptions, wrong or missing information and hallucinated promises are defined as topics and scorecard points, so they are counted, filtered and alerted like any other criterion.

By not listening to them. Ender Turing scores all 10,000 automatically; the team works from the findings — the calls flagged for a failure type, the ones below the score threshold, the ones where a required line was missing — and Enders (automations) route those to a reviewer's queue or notify the owner the moment they appear. Reviewers spend their hours on the exceptions and on calibrating the AI, not on sampling.

Every bot call lands in Ender Turing as it is recorded, is scored, and appears on the Dashboard filtered by bot, language, topic, failure type or period; Charts compare bots, versions and periods against a shadow period, and C-Level Boards put the bot's quality next to the human team's. Enders (automations) turn a threshold into an alert — a spike in a failure type, a compliance line missed — delivered in-app and by email.

Any language. Production speech recognition today covers English, Spanish, Portuguese, French, German, Polish, Ukrainian, Arabic, Chinese, Japanese and more; a language we do not run yet is added on request or connected through your own speech-recognition engine, so no team is turned away for its language. A bot answering in three languages is scored on the same scorecard in each, and auto-corrections keep product and brand names transcribed right in every one.

Yes. Each client's bot gets its own scorecard and topics — installed from the Templates Library and adjusted, not written from scratch — and its own view on the Dashboard and C-Level Boards; Roles decide which client sees which bot. The same reviewers calibrate across clients; the AI does the reading for all of them.

Ender Turing is not open source, and the open-source options we know score transcripts you already have rather than capturing, transcribing and scoring production calls end to end. If the question behind the search is cost, the free plan scores up to 1,000 calls a month at no charge, no expiry — enough to score a sample of a bot's production calls and see the failure types before any business case.

Yes. Start free: connect or upload a sample of the bot's calls, score them against a scorecard installed from a template, and take the failure rate and the examples into the business case. Production volumes and bot-specific pricing are agreed with us — talk to us or book a demo when the sample has made the point.

Not today — Ender Turing scores the real calls your bot has in production, which is where the failures that matter appear: real accents, real interruptions, real edge cases. Replaying a set of real production calls against your updated bot version — and scoring the new version on the same scorecard before it goes live — is available for early tests with selected teams: write us on this page if you need it.

Regulated flows are what scorecards and compliance rules were built for: the required lines the bot must say (identity verification, consent, disclosures) are checked on every call with a script-adherence score, personal data in transcripts can be masked per language with Anonymization, and Ender Turing has completed a SOC 2 Type II examination with GDPR-compliant data handling on every plan; Enterprise adds private cloud or on-premise deployment.