The backlog never ends
Each specialist scores a few hundred conversations a month by hand. The queue grows faster than the team; calibration sessions eat the time that coaching needed.
Platform · Ender, the AI QA specialist
Meet Ender, the AI quality assurance specialist: it scores every conversation, shows you its accuracy — and never asks for a chair.
Ender is the QA specialist who listens to 100% of your calls, chats and emails, scores each one on your scorecard, categorizes it, summarizes it, flags the ones a human should see, and on Monday morning hands every agent a coaching note from their own conversations. Its accuracy against your reviewers is on the screen — typically 95%+ — and it improves from their reviews. Your specialists calibrate and coach; Ender does the listening.
The problem
A QA specialist can listen to 3–5% of conversations. The other 95% still happened.
The sample decides the story
Three calls per agent per month is not a picture of the agent — it is a lottery. The critical miss is statistically absent.
The report lands after the damage
By the time the monthly quality report is read, the customer is gone and the agent has repeated the mistake a hundred times.
What you get
Every function below is documented — the link on each card is the guide.
Standard templates for your case are installed on sign-up; everything here works on the free plan.
Scores every conversation on your scorecard
Calls, chats and emails, on the rubric your reviewers already use — imported from Excel or taken from the templates library — with partial and critical points. No sampling, no backlog: the score exists as the conversation ends.
Shows its accuracy and learns from your reviewers
For the whole scorecard and for every point, Ender shows how often it agreed with human-validated reviews — typically 95%+ — and the accuracy-improvement workflow raises it from those reviews without changing the wording your team reads. Reviewers calibrate; nobody writes prompts.
Categorizes and summarizes each conversation
Every conversation gets its topic — the reason, the stage reached — learned by generative AI from your samples with its accuracy checked, and an automatic summary of what the customer wanted and what the agent did.
Flags what needs a human
Enders route the exceptions: a failed critical point notifies the team lead, a low score lands in a reviewer's queue, a compliance miss is tagged — in-app and by email. Your specialists open To Do and find the conversations that need them, not the ones that do not.
Writes the weekly coaching note for every agent
A scheduled chat of the "for agent" type asks EnderGPT your question every week and produces a separate report per agent from that agent's own conversations — what went well, what to change, with the calls. Define it once.
Answers the manager's questions, delivers the reports
Chat with EnderGPT answers "which points fail most on the collections team?" with the calls cited; dashboards and C-level boards carry the numbers; email reports deliver them on a schedule. Roles decide who sees which team.
Numbers we've helped customers move
What changes when every conversation is analyzed.
- 100%Calls automatically scored (vs. 3–5% manual baseline)Quality coverage
- +19%Average lift in customer satisfactionCSAT
- −15%Reduction in average handle timeAHT
- 68hQA hours saved per specialist per monthProductivity
Averages across our contact-center deployments — each customer's own numbers are in the case studies. Case studies →
In the product
What a manager sees.
Product screenshots — dashboards and analyses from the platform, not illustrations.
From analytics to action
Ender does the listening. The platform gives it somewhere to put the results.
The scorecard behind the specialist
How scorecards, accuracy measurement, compliance rules and review queues work in detail.
From the score to the coaching
Playlists, training plans, quizzes and each agent's own dashboard — where Ender's findings become next week's behavior.
During the call, not after it
Ender Assist, a separate product, puts the right script or reminder on the agent's screen while the customer is still talking.
AI QA specialist FAQ
What QA teams ask before adding an AI specialist.
What is an AI QA specialist?
A way of describing what AI quality assurance does when it is set up as a colleague rather than a tool: it listens to every conversation, scores it on the team's own scorecard, categorizes and summarizes it, escalates the exceptions, and prepares the coaching material — the work a QA specialist does, on 100% of conversations instead of a sample. In Ender Turing that colleague is Ender: AutoQA, topics, summaries, Enders and scheduled EnderGPT reports working together.
How accurate is Ender?
Typically 95%+ agreement with your own reviewers on automated scorecards, shown per scorecard and per point on the screen, based on human-validated reviews — and improved from those reviews by the accuracy-improvement workflow. You never have to take the number on trust; it is measured on your calls, against your people.
Does Ender replace our QA specialists?
It replaces the listening, not the judgment. Across 50+ contact-center deployments, teams save 68 QA hours per specialist per month and cover 100% of calls instead of 3–5%. The specialists keep the calibration, the disputes and the coaching — the part that needed a person all along.
How does Ender "join the team"?
Through the same places your team already works: Ender's scores and comments appear on each conversation; exceptions land in the To Do review queue and in notifications; agents see Ender's scores on their own dashboard and can dispute a point, which the reviewer approves, voids or partially approves; weekly coaching notes arrive as scheduled chats. Roles decide who sees what.
What do we need to give it?
Your scorecard — imported from Excel or chosen from the templates — and your conversations: through a documented app or connector, the browser extension, the REST API, SFTP or upload. A few review sessions calibrate it; the accuracy is visible while that happens.
Is this software or a service? Can we hire Ender?
Software, on a subscription: the free plan covers up to 5 agents with no expiry, Team is $39 per agent per month, Business adds executive boards, scheduled reports, connectors and implementation engineers who set it up with you. There is no consulting fee and no headcount — that is the point.
Which languages does Ender speak?
Any language. English, Spanish, Portuguese, French, German, Polish, Ukrainian, Arabic, Chinese, Japanese and more run in production; any other is added on request or connected through your own speech-recognition engine.
What about security and personal data?
Ender Turing has completed a SOC 2 Type II examination and handles data in a GDPR-compliant way on every plan; Enterprise adds private cloud or on-premise deployment. Anonymization redacts configured sensitive words in transcripts and masks the matching audio; Roles decide who can open which team's conversations.
Security, hosting regions, sub-processors and response times are documented on the Data Security page; SOC 2 Type II examination completed.
Free for up to 5 agents
Add Ender to the QA team this week. No chair required.
Sign up, import your scorecard, connect a platform or upload recordings — the first conversations come back scored, categorized and summarized the same day.