Exec's AI scoring achieves 95%+ agreement with expert human QA evaluators. The system is calibrated against your team's scoring standards during onboarding, and you can fine-tune rubric criteria at any time to match your quality framework.

Most teams are scoring calls within two weeks. Exec connects to your existing call recording platform, so there's no infrastructure to build. The main onboarding work is defining your scorecards and calibrating against sample calls with your QA team.

Yes. You can create as many scorecards as you need, each with different criteria, weighting, and pass/fail thresholds. Teams typically build separate scorecards for sales calls, support calls, compliance-sensitive calls, and new hire evaluations.

Exec ingests call recordings from Five9, Talkdesk, Genesys, NICE, Zoom Contact Center, Amazon Connect, RingCentral, Microsoft Teams, and more. If your platform can export call recordings, Exec can score them.

When scoring identifies a skill gap for an agent, Exec can automatically route them to AI-powered practice scenarios that target that specific gap. After they practice, their next real calls are scored again to verify the improvement carried over. This diagnose-practice-verify cycle runs continuously.

Exec provides dashboards showing quality trends across agents, teams, shifts, and sites. You can track score distributions, identify top and bottom performers, monitor compliance rates, and drill into specific calls with timestamped highlights of key moments.

Traditional QA tools like NICE, Verint, or Calabrio help you listen to and score calls, but they stop there. Exec closes the loop: when scoring reveals a gap, the agent gets routed to AI-powered practice scenarios targeting that exact skill, then their next real calls are scored again to verify improvement. Most quality monitoring tools observe. Exec observes and trains.