Revolutionizing Enterprise AI with Reliable Testing & Observability
Cisco is at the forefront of enterprise AI adoption, and its recent partnership with Cekura strengthens its position in delivering next-generation autonomous AI agents. As businesses scale AI agents across their critical workflows, ensuring their reliability, accuracy, and performance becomes mission-critical.
The Webex AI Agent Revolution
Cisco is reimagining customer self-service with the Webex AI Agent, which can answer inquiries and fulfill intents across a wide range of channels – all while delivering personalized, conversational experiences. This human-like interaction is powered by sophisticated automation and orchestration, enabling the design of connected journeys that enhance the user experience.
Cekura – now a Cisco Select Developer – delivers enterprise-grade testing and observability, helping Webex Contact Center customers scale AI Agents on voice and digital channels confidently across workflows.
Seamless Integration & Support
As Cisco's select developer, we have access to Cisco's technology and IT support to provide native integration to Cisco's customers, enabling seamless automated testing and observability across the entire voice and chat AI agent lifecycle. From testing before production to regression testing, as well as production call monitoring and alerts, Cekura ensures enterprises adopting Webex AI Agent deliver consistent, high-quality customer experiences at scale.
Benefits for Webex Contact Center Customers
Webex Contact Center customers building autonomous voice and chat AI agents get the following benefits with Cekura:
Testing Solutions
- Scenario Generation: Generate varied test cases from agent descriptions automatically for comprehensive coverage
- Evaluation Metrics: Track custom and AI-generated metrics for instruction following, tool calls, and conversational metrics
- Prompt Recommendation: Get actionable insights to improve each of the metrics
- Custom Personas: Emulate diverse user types with varied accents, background noise, and conversational styles
- Production Call Simulation: Simulate production calls to ensure all fixes have been incorporated
Observability Solutions
- Conversational Analytics: Customer sentiment, interruptions, latency, and call analytics
- Instruction Following: Identify instances where agents fail to follow instructions
- Drop-off Tracking: Analyze when and why users abandon calls
- Custom Metrics: Define unique metrics for personalized call analysis
- Alerting: Proactive notifications for critical issues like latency spikes or missed functions