SAEval is SA Hosted's AI quality assurance tool. It monitors 100% of contact center interactions, surfacing coaching opportunities, compliance flags, and performance trends that manual QA sampling misses. Supervisors get better information. Agents get better feedback. Clients get better service.
What is AI quality assurance for contact centers?
AI quality assurance for contact centers uses machine learning to analyze interactions — calls, chats, emails — and score them against quality criteria, compliance requirements, and performance benchmarks. Unlike manual QA, which reviews a small sample of interactions, AI QA tools like SAEval can monitor every interaction, giving supervisors complete coverage rather than spot checks. The goal is to support supervisors and coaches with better data, not to replace human judgment.
Manual QA programs typically review 3–5% of interactions. That means supervisors are making coaching decisions, identifying compliance risk, and assessing performance based on a fraction of what agents are actually doing. SAEval changes that math.
By monitoring 100% of interactions, SAEval gives supervisors the full picture — which agents need coaching, where compliance exposure exists, and how performance is trending across the team. Human supervisors still make the judgment calls. SAEval gives them the information to make better ones.
Conceptual comparison — actual coverage varies by configuration
Every voice call, chat session, and digital interaction is analyzed — not just a sample. Supervisors see the full performance picture, not a slice of it.
During live interactions, agent assist suggests responses, surfaces relevant information, and prompts agents when the conversation requires specific language or steps.
SAEval identifies coaching opportunities across the agent population — which skills are declining, which agents are consistently strong, and where the team needs support.
Required disclosures, consent language, and regulatory compliance criteria are monitored across every interaction. Flags surface for review rather than waiting for a complaint.
Sensitive data — credit card numbers, social security numbers, account credentials — is identified and redacted from recorded interactions to reduce compliance exposure.
QA scores and trends are visible in the reporting layer, giving supervisors and operations leaders data on quality performance over time — by agent, team, or program.
AI quality monitoring surfaces information and flags patterns. Human supervisors still review flagged interactions, make coaching decisions, and exercise judgment about what the data means. SAEval is a tool that gives supervisors better coverage and more relevant information — not a system that replaces the people who manage contact center performance.
SA Hosted positions SAEval as a support layer for experienced supervisors and QA teams, not as an autonomous decision-making system.
SAEval monitors script adherence and compliance prompts across every agent.
Reporting & Analytics →QA scores and trends visible in real-time dashboards and client portal.
Security & Compliance →PCI DSS and SOC 2/3 certified environment for handling sensitive interaction data.
Tell us about your current QA process and what you need to see that you are not seeing today.