AI Contact Center SLA Monitoring System

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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AI Contact Center SLA Monitoring System
Medium
~3-5 business days
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Development of AI Contact Center SLA Monitoring System

SLA monitoring tracks compliance with key contact center metrics against contractual obligations in real-time and alerts on breach risks before they happen.

Key SLA Metrics

  • Service level: 80% of calls answered within 20 sec
  • Abandonment rate: <5%
  • Average handle time: <240 sec
  • First-call resolution: >75%
  • Customer satisfaction: >4.0/5
  • Average speed of answer: <20 sec

Real-Time Monitor

Checks every metric against target, evaluates:

  • OK: metric within target
  • Warning: approaching threshold
  • Breach: exceeds limit

Predictive Breach Warning

Uses trend analysis to predict breach in next 30 minutes. Calculates minutes to breach.

Automatic Corrective Actions

On breach risk:

  • Call operators back from break
  • Redirect calls to other skill group
  • Increase predictive dialer pace
  • Notify supervisor

Timeline: SLA monitoring + alerting — 2–3 weeks. With predictive warnings — 1.5 months.