Customer Support

Automating quality monitoring across AI and human support

AI reviews 100% of support conversations, scores them against custom quality criteria like accuracy, tone, and policy adherence, and helps teams improve both AI-agent and human-agent performance in one system.

Why the human is still essential here

Managers and QA leads still define what good support looks like, interpret the scores, coach teammates, and decide corrective actions. AI expands coverage, but quality standards and coaching stay human-led.

How people use this

Automated ticket QA reviews

AI scores every support interaction against quality standards and flags risky or low-quality conversations for manager follow-up.

Zendesk QA

Custom scorecards at scale

AI applies team-specific QA rubrics across chat, email, and tickets so support leaders can review performance trends without manual sampling.

MaestroQA

Semantic quality monitoring

AI evaluates conversations for compliance, empathy, and resolution quality while surfacing coaching opportunities for both agents and bots.

Level AI

Need Help Implementing AI in Your Organization?

I help companies navigate AI adoption -- from strategy to production. Whether you are building your first LLM-powered feature or scaling an agentic system, I can help you get it right.

LLM Orchestration

Design and build LLM-powered products and agentic systems

AI Strategy

Go from idea to production with a clear implementation roadmap

Compliance & Safety

Build AI with human-in-the-loop in regulated environments

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News
News

Introducing Intercom 2 — The Helpdesk built for AI and human support

AI is reshaping customer service and how support teams operate. Intercom 2 is the helpdesk for the AI era, with 60+ updates including smarter workforce management, real-time issue detection, and seamless AI and human QA.

I
IntercomCustomer support software company
Apr 30, 2026