CUSTOMER CASE
How Quo is shipping faster than everyone with Cekura
We needed a way to test every change to our voice agents with confidence - without fearing that small tweaks could cause big problems.
Prompt Engineer at Quo
Company
About
Quo is a leader in modern business communication solutions, specializing in intelligent voice agents for customer service and sales. The company has built a reputation for delivering high-quality conversational AI. The company is known for its customer-first approach and rapid iteration cycles, constantly improving user experience through data-driven insights and cutting-edge AI technology.
Industry
Business Communication Software
Company size
51-200
Key features
- • Voice agents
- • Workflow automation
- • Business process optimization
- • Reports
The Challenge
Building and scaling a voice agent that is both intelligent and reliable presents a unique set of challenges. The traditional approach to quality assurance is not sufficient. Teams face significant hurdles, including:
- Manual and Unreliable Testing: Evaluating a voice agent requires making a phone call, which is a slow and costly manual process that is not accessible to test every single conversational path, persona, and a variety of accents or background noises.
- The Problem of Regression: Every time a change is made to a prompt, or a prompt is updated, there's a risk that previously working functionality could break. Without an automated way to quickly regression is time consuming and makes it difficult to iterate quickly.
- Lack of Actionable Data: Without an automated testing framework, it's hard to get a comprehensive view of an agent's performance. Teams are left with scattered notes, anecdotal feedback and manually collected metrics, making it difficult to consistently deliver different versions or track progress.
- Difficulty in Troubleshooting: When an agent fails, it can be a "black box." It's hard to pinpoint exactly where the conversation went wrong, which makes troubleshooting and fixing bugs a slow, frustrating process.
"Our team needed a way to ensure every new change we made to our voice agents was an improvement. We were constantly worried that a small tweak would create a big problem, which made our development process painfully slow."
The Solution
By integrating Cekura into their development workflow, Quo ensures that voice agents always perform at the highest level. Cekura provides the tools for:
- Rigorous Regression Testing: With every new change, Cekura automatically tracks and tests for any regressions, ensuring that new features and improvements don't break existing functionality.
- A/B Testing: Teams can easily compare two different versions of the voice agents to see which performs better on key metrics like accuracy, latency, and conversational quality.
- Track Progress Over Time: The platform's rich metrics and industry standard dashboard allows Quo to monitor and visualize how their voice agents are improving over weeks and months, demonstrating a clear return on their investment in AI.
The Results
Quo's voice agents are delivering an exceptional customer experience that is both smart and dependable. By leveraging Cekura, they've evolved their approach to quality assurance from a reactive process to a proactive one. This has allowed them to scale their solutions with confidence, knowing that their agents are always ready for real-world conversations and are continuously getting better.
"Cekura has been essential in helping us build and test our voice agents with confidence. We can now ensure that every new feature and prompt change makes our agents smarter without compromising on reliability. It's transformed our quality assurance process."