Coval Partners with Cisco: Elevating Enterprise Voice AI from Ad-Hoc Testing to Systematic Reliability
Jun 15, 2025
Today, we're excited to announce that Coval has been officially designated as a Cisco® Solution Partner, marking a pivotal moment in enterprise conversational AI. This partnership combines Coval's purpose-built evaluation platform with Cisco's enterprise-grade AI solutions to solve a critical challenge: bringing systematic reliability to voice AI at scale.
Cisco recently announced the Webex AI Agent, which can answer inquiries and fulfil 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.
Ensuring battle-tested reliability and scalability is essential when adopting any new AI tool - and that’s exactly where Coval delivers.
90% of enterprise voice AI projects fail. Here's how to join the 10%.
Fortune 100 banks. Global healthcare providers. Major retailers. They all discovered the same painful truth: traditional testing tools weren't built for voice AI.
Today, Coval and Cisco are changing that game entirely.
The $100M Problem Nobody Talks About
Your voice AI handles millions of customer calls. One bad deployment can cost:
- $10M+ in lost revenue per day 
- 30% drop in customer satisfaction scores 
- 6-month delays in digital transformation 
Yet most enterprises still test voice AI like it's 2010—manual scripts, text-based tools, and crossed fingers.
Meet Coval: Voice AI Testing That Scales
As Cisco's newest Solution Partner, Coval brings three game-changers to enterprise voice AI:
1. Test Like Your Customers Talk
- Thousands of concurrent voice conversations 
- Real accents, interruptions, and background noise 
- Industry-specific personas (angry patient, confused customer, technical buyer) 
2. Clear, no nonsense vendor comparison
- Side-by-side vendor evaluation using identical metrics 
- Standardized performance benchmarks across providers 
3. Ship Fast Without Breaking Things
- Up to 75% faster deployment and iterations of your agents 
- Automated regression testing across multiple deployments at once 
- CI/CD integration that actually works 
The Cisco Advantage: Enterprise-Grade Everything
This isn't just another partnership. It's enterprise infrastructure that delivers:
✓ Security: Cisco's enterprise-grade compliance (HIPAA, SOC2 [in progress], GDPR [in progress]) 
✓ Scale: Global infrastructure handling billions of calls 
✓ Support: 24/7 enterprise SLAs you can count on 
Real Results from Real Enterprises
Major Financial Services Company
- Cut voice AI deployment from 12 weeks to 3 weeks 
- Achieved 99.9% accuracy on payment processing flows 
- Detected missed escalations to human agents before it hit customers as a compliance / legal risk 
Top Healthcare Provider
- Ensures HIPAA compliance across 10,000+ daily calls 
- Reduced patient wait times by 40% 
- Caught critical workflow deviations before production 
Your Voice AI Reliability Toolkit
With Coval + Cisco, you get:
| Pre-Launch | Production | 
| Regression test suites | Live call monitoring | 
| Workflow verification | Real-time alerts | 
| Load testing at scale | Performance trending | 
| Compliance validation | Automatic issue detection | 
Built for How Enterprises Actually Work
For Product Teams: Define behaviors, track KPIs, compare vendors
For QA Engineers: Automate testing, catch regressions, validate compliance
For DevOps: CI/CD integration, infrastructure as code, API-first
For Contact Centers: Monitor production, track metrics, ensure quality
About the Partnership
Coval is the reliability infrastructure for AI agents—where QA, product, and engineering teams collaborate to test, evaluate, and monitor at scale.
Cisco is the worldwide leader in IT and networking, bringing enterprise-grade security and infrastructure to conversational AI.
Together, we're making voice AI testing as reliable as your network infrastructure.
Have questions? Our enterprise team has answers: brooke@coval.dev

