More and more companies are experimenting with intelligent voice virtual agents. The first demos are usually impressive: an AI agent that understands, responds, and keeps a fluid conversation going. Yet, when you ask whether it’s already live in production, the most common answer is: “Not fine-tuned yet.”
That “not yet” hides a key truth: moving from a prototype with 70% accuracy to a production-grade system with over 99% is anything but simple. It’s a steep technical, operational, and regulatory climb that many organizations underestimate.
Learn more about Recordia’s Voice Agent solution already in production
Why is it so hard to scale from 70% to 99%?
Because it takes far more than clever prompts or plugging into an API. The real challenge is building a voice agent that not only sounds good, but also works safely, reliably, and at scale in production.
Those last 30 points of accuracy aren’t linear—they demand engineering, processes, compliance, and a strategic approach to AI.
Checklist for Scaling a Voice Agent to Production
- Context & Memory Management: The agent must remember key information across turns and interactions, while also knowing when to reset.
- Security, Governance & Regulatory Compliance: Data protection, fraud prevention, and adherence to GDPR, PCI-DSS, or MiFID II.
- Fallbacks & Conversational Experience: A good agent should hand off to a human or admit it has no answer—rather than make one up.
- Robust Integrations & Resilience: API failure handling with retries and backup systems.
- Continuous Monitoring & LLMOps: Dashboards, A/B testing, and human-in-the-loop validation.
- Scalability & Latency: Responding in under three seconds while supporting hundreds of simultaneous users.
- RAG & Fine-Tuning: Access to up-to-date information through retrieval-augmented generation and vector databases.
- Traceability & Logging: Every decision recorded for auditability and compliance.
- Maintenance & Versioning: Seamless updates with continuous change control.
Why Do So Many Companies Get Stuck at the Demo Stage?
Because they focus on what’s visible: the voice and the script. But underneath lie the real hurdles:
- Lack of observability and error metrics.
- Agents breaking down with real-world data.
- Token costs are spiraling out of control.
- No load testing or edge case coverage.
The result? Projects that never make it beyond the prototype phase.
The Challenge in Regulated Industries
In sectors like debt recovery, banking, healthcare, or insurance, the bar is even higher:
- Legal recording and consent for every call.
- Reinforced security for sensitive data.
- Ongoing audit trails for regulators.
- Transparency in customer interactions.
Here, a language model or a no-code tool isn’t enough. What’s required is solid architecture and real production expertise.
From Prototype to Production-Ready Agent
Building a prototype today is easy. Putting an intelligent voice agent into production is another story.
Those final 30 points of accuracy are the toughest and most expensive, and they can only be reached through:
- Robust engineering
- Clear governance
- Strong compliance strategy
- Continuous improvement in production
So when a company says: “We’ve got something internal, but it’s not live yet,” chances are, they’re still climbing—and nowhere near the summit.
How Recordia’s Voice Agents Can Help
Recordia offers an intelligent voice agent platform that is already in production across various industries, including telecom, banking, utilities, and education.
With tangible results:
- 50% reduction in handling times
- 30–40% increase in recovery rates
- Full compliance with GDPR, PCI-DSS, and MiFID II
- A smoother, more personalized customer experience
With Recordia Voice Agents, the climb stops being an obstacle and becomes a clear, profitable path to production-grade automation.
Request a demo at recordia.net and discover the true potential of Intelligent Voice Agents.