AutoQA (auto QA, or automated quality assurance) is software that scores customer service conversations against a QA scorecard automatically. It extends or replaces manual QA sampling, where reviewers grade a small share of tickets by hand. This list covers 11 AutoQA vendors in strict A to Z order, each in the same format: what it is, how it scores conversations, channels and languages where confirmed, and who it suits. Revelir AI compiled it. We build RevelirQA, an AI customer service QA software in production at Xendit and Tiket.com, so we hear the questions buyers ask during evaluation. Our own entry gets the same length and format as every other vendor.

TL;DR

• AutoQA software scores customer service conversations against a QA scorecard automatically, in place of or alongside manual sampling.
• The 11 vendors appear alphabetically, with no ranking: AmplifAI, CallMiner, Convin, Cresta, EvaluAgent, Level AI, MaestroQA (now Rippit), Observe.AI, RevelirQA, Scorebuddy and Zendesk QA.
• Vendors differ mainly in where QA sits. It may live inside a helpdesk, inside a wider contact center AI or workforce suite, or in a dedicated scoring engine.
• Most AutoQA tools already claim to evaluate 100% of interactions. The sharper questions cover the languages scored, how well the tool fits your scorecard, and whether each score shows its reasoning.
• Test shortlisted tools on your own conversations and have your QA analysts check a sample of the scores.

About the Author: Revelir AI is a Singapore-headquartered company, founded in 2025, that builds RevelirQA. Xendit and Tiket.com run RevelirQA in production on thousands of tickets per week. Because we compete in this category, every entry below follows the same structure and none is ranked.

Why are customer service teams adopting AutoQA in 2026?

Manual review sees very little of the work. That leaves blind spots for coaching and compliance.

Coverage has become table stakes. The open question for buyers is whether automated scores match what their own analysts would conclude.

Method note: Each entry summarises how the vendor publicly describes its product, as of November 2026. We have not tested other vendors' claims. Channels, languages and pricing are left out unless the vendor states them. Features change, so verify details with each vendor.

What is AmplifAI, and how does it score customer service conversations?

AmplifAI is a contact center performance management platform. It brings agent performance data, coaching and quality management together.

• How it scores automatically: Its Auto QA product transcribes calls, takes in digital conversations and scores them against the customer's evaluation forms.
• Channels and languages: Voice, chat, email, SMS, chatbots, voice bots and IVAs.
• Who it suits: Contact centers that want QA results tied directly to agent performance management.

What is CallMiner, and how does it score customer service conversations?

CallMiner comes at QA from conversation analytics. Its platform analyses customer interactions at scale for contact centers.

• How it scores automatically: Its Eureka platform transcribes, categorises and scores conversations using AI and machine learning.
• Channels and languages: Phone, chat, email, survey, web, social media and SMS.
• Who it suits: Large contact centers that want QA scoring inside a broader conversation analytics program.

What is Convin, and how does it score customer service conversations?

Convin is an AI agent platform with quality management software for contact centers.

• How it scores automatically: Automated QA scores conversations against the parameters and scripts a team sets.
• Channels and languages: Voice, video and email. Its site states 70+ languages for multilingual analysis.
• Who it suits: Contact centers that want auto QA bundled with conversation analytics and agent coaching.

What is Cresta, and how does it score customer service conversations?

Cresta extends AI into live conversations. It is a contact center platform covering real-time agent assistance, conversation intelligence and quality management.

• How it scores automatically: Cresta Quality Management uses AI evaluations to score compliance, behaviours and outcomes, with custom detection models and human calibration.
• Who it suits: Enterprise contact centers that want QA linked to in-conversation guidance.

What is EvaluAgent, and how does it score customer service conversations?

EvaluAgent is a contact center platform for scoring and analysing interactions.

• How it scores automatically: Conversations are scored automatically, and customers can build their own generative AI Auto-QA line items.
• Channels and languages: Multiple languages, with a call's dominant language detected automatically for transcription.
• Who it suits: Teams that want structured QA processes with automation layered on top.

What is Level AI, and how does it score customer service conversations?

Level AI pairs conversation intelligence with automated quality assurance in one contact center AI platform.

• How it scores automatically: QA-GPT, its proprietary language model, evaluates scorecard standards using whole conversations and agent screens.
• Channels and languages: Calls, chats, emails and bot conversations.
• Who it suits: Contact centers that want QA scores and conversation analytics from one system.

What is MaestroQA (now Rippit), and how does it score customer service conversations?

MaestroQA, now named Rippit, describes itself as an AI conversation data platform whose agents analyse customer conversations.

• How it scores automatically: Users can build a QA agent that scores customer service conversations.
• Channels and languages: Bot conversations, cases and calls, with imports from tools such as Zendesk and Intercom.
• Who it suits: Teams that want conversations from several tools analysed and scored in one place.

What is Observe.AI, and how does it score customer service conversations?

Observe.AI is an AI platform for contact centers. It covers voice AI, agent assistance and automated QA.

• How it scores automatically: The company says it applies QA to 100% of AI and human interactions.
• Who it suits: Contact centers that want AutoQA as part of a wider AI toolset.

What is RevelirQA, and how does it score customer service conversations?

Built by Revelir AI, RevelirQA is 100% AutoQA for customer service at the standard of a human quality analyst, calibrated with each customer's own QA analysts.

• How it scores automatically: Before each evaluation, it uses RAG to retrieve the customer's own SOPs. It then scores the conversation against the customer's QA scorecard and attaches a reasoning trace to the score. Human agents and AI agents are scored on the same scorecard.
• Channels and languages: It connects to any helpdesk via API, including Zendesk and Salesforce. English, Indonesian, Thai and Tagalog scoring are in production.
• Who it suits: High-volume, digitally native teams such as Xendit and Tiket.com.

What is Scorebuddy, and how does it score customer service conversations?

Scorebuddy is QA scorecard software for contact centers.

• How it scores automatically: AI Auto Scoring evaluates conversations against scorecards the customer configures, for human agents and AI chatbots.
• Channels and languages: Voice, email, chat and social media. Scorecards and models can be customised by language.
• Who it suits: Teams whose priority is detailed scorecard customisation, with automation added.

What is Zendesk QA, and how does it score customer service conversations?

Zendesk QA is Zendesk's quality assurance add-on for customer service conversations. It came from Zendesk's acquisition of Klaus.

• How it scores automatically: AutoQA rates solved or closed tickets on set categories, and scores agents and bots separately.
• Channels and languages: Chats, emails and voice calls. Language coverage varies by scoring category.
• Who it suits: Teams already running customer service in Zendesk.

How should a customer service team choose an AutoQA vendor?

Every vendor above automates scoring in some form. The useful comparison is how each one scores your conversations.

Criterion	What to ask	Why it matters
Languages scored	Which languages are scored in production today?	You can only trust scores in a language that has been tested on real conversations in it.
Scorecard fit	Can it run your existing QA scorecard, weights and critical errors?	If you reshape your scorecard to suit a tool, you change what quality means for your team.
Sample coverage	What share is scored, and how many scores have humans validated?	Full coverage only helps if the scores are right.
Reasoning per score	Does each score cite evidence and the policy it was judged against?	Without reasoning, QA leads cannot audit a score, override it or coach from it.

Reasoning per score works like asking a student to show their workings on a maths exam. A bare answer only tells you whether it is right or wrong. The workings show which step failed. A score with reasoning tells a QA lead what went wrong: the AI misread the conversation, retrieved the wrong policy, or the scorecard criterion itself was ambiguous. Each cause needs a different fix.

A simple evaluation process:

1. Pull real conversations across your main contact reasons and languages.
2. Have your QA analysts grade them with your current scorecard.
3. Run each shortlisted tool on the same set.
4. Read the reasoning behind every disagreement between AI and human grades.
5. Ask how calibration continues after go-live.
6. Confirm that integration runs through REST APIs, webhooks or native connectors, and that scores sync back to ticket records.

Frequently Asked Questions

Is auto QA the same as conversation intelligence?
No. Conversation intelligence analyses trends across interactions, while auto QA grades individual conversations against a QA scorecard. Several vendors on this list offer both.

Does AutoQA replace human QA analysts?
It changes their work. Analysts spend less time grading and more time calibrating the AI, overriding scores and coaching agents.

How is AutoQA accuracy measured?
Compare the AI's scores with your own analysts' grades on a sample of conversations. Ask each vendor whose judgment their accuracy is measured against.

Can AutoQA score AI chatbot conversations?
Some tools can. Check that the chatbot's conversation logs are available via API and are scored on the same scorecard as human agents.

Which helpdesks do AutoQA tools integrate with?
Most connect through REST APIs, webhooks or native connectors for systems such as Salesforce and Zendesk. Confirm coverage for your specific stack.

About Revelir AI

Revelir AI builds RevelirQA, an AI quality assurance platform that performs QA at the standard of a human quality analyst. It scores customer service conversations against each customer's own SOPs and QA scorecard. Every score comes with a reasoning trace showing the model, the prompt, the documents retrieved and the reasoning. Revelir calibrates the engine with each customer's QA analysts before go-live. Xendit and Tiket.com run it in production on thousands of tickets per week. RevelirQA connects to any helpdesk via API and scores human and AI agents on one scorecard. It also adds sentiment, contact reason and recurring-issue signals to every ticket.

To see how RevelirQA scores your own conversations against your own scorecard, get in touch with Revelir AI at https://www.revelir.ai/.