
4.7 (200+ reviews)
Turn customer intelligence into workforce decisions
Level AI and Assembled connect conversation intelligence directly to workforce execution, helping contact centers move from static reporting to faster, more informed coaching, scheduling, and staffing decisions.

Delayed insights slow operational response
QA teams uncover performance gaps, rising complaints, and shifts in customer sentiment. When those insights sit outside workforce planning, teams act after the issue has already affected CX.
Coaching becomes a scheduling problem
Managers know which agents need coaching, but finding time without leaving the floor understaffed requires constant coordination. Feedback gets delayed when coverage takes priority.
Static workforce plans miss performance signals
Forecasts and assigned skills tell part of the story. They do not show where agents are currently performing well, struggling with specific interaction types, or affecting the customer experience.
Increase coaching without sacrificing coverage
Schedule coaching during periods when staffing levels allow, so agents receive timely feedback without reducing coverage or leaving customer demand unmet.

Improve resolution on complex customer issues
Use real interaction data to understand where each agent performs best across skills, topics, and interaction types. That intelligence can shape staffing and scheduling decisions so complex issues are more likely to reach agents equipped to handle them.

Find workforce patterns tied to CX
See changes in conversation volume, topics, and sentiment as they happen. Teams can use those signals to adjust schedules, coverage, and assignments before demand shifts lead to longer wait times or missed service levels.

Measure workforce performance against customer outcomes
Connect coaching and staffing changes back to quality and customer signals. Leaders can see which decisions are improving performance, where gaps remain, and where to focus the next intervention.

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