Breaking Through Voice AI Accuracy Barriers

Most voice AI systems hit an 83% accuracy ceiling before requiring human intervention—killing ROI for businesses operating on razor-thin margins. Justin Foster, serial founder and CRO of Incept AI, reveals how his team broke through to 97% accuracy and the deployment playbook that actually works. Discover the three-dimensional bottleneck strangling voice AI adoption and why the 90% non-intervention rate is the economic threshold separating scalable systems from expensive experiments.

73% of businesses say accuracy is why they don’t adopt voice AI. The ceiling? 83%. That’s where most voice AI systems hit before needing human intervention. In this episode, Justin Foster (Co-Founder & CRO of Incept AI) reveals how his company broke through to 97% accuracy, and shares the deployment playbook that actually works when AI meets noisy, chaotic reality.

Justin’s been through multiple exits, and co-founded LiveClicker before building Incept. He’s raised $3M from Rally Ventures to solve what kills voice AI: the three-dimensional bottleneck of audio quality, latency, and economics in high-pressure customer environments.

This isn’t about technology specs. It’s about the business model, deployment strategy, and hard-earned lessons that separate voice AI that scales from expensive experiments that burn budget.

Originally published on Future of Agentic.