Voice AI That Feels Like a Real Conversation
VelocityDialog™ delivers 10-15x faster response times than traditional voice AI, eliminating the awkward pauses and robotic timing that frustrate customers and tank your containment rates.
232-320ms
response latency
61.5%
AI resolution rate
>95%
accuracy for complex alphanumerics
98+
languages supported, instant switching
Your AI Doesn’t Have To Sound Like A Robot
Contact center leaders face a frustrating reality: you've been told AI will transform your operations, but the voice AI you've tested feels worse than your current IVR. Customers wait through painful 3-5 second delays. The system cuts them off mid-sentence. Speech recognition fails on basic requests. The result? Customers mash zero to escape your automation, and your containment rates stay stubbornly low.
The issue isn't AI itself…, it's the architecture. Traditional text-based LLM pipelines create a disjointed experience: speech-to-text conversion, then text processing, then LLM reasoning, then text-to-speech output. Each step adds latency. Each handoff creates potential failure points. The conversation feels mechanical because it is mechanical. There's a better way.
Native End-to-End Voice Processing
Built for Real-Time Conversation
VelocityDialog™ is our proprietary voice AI framework built on Azure’s real-time APIs and OpenAI’s GPT models,
designed from the ground up for natural, responsive voice interactions.
Unlike traditional implementations that stitch together separate STT, NLU, and TTS services, VelocityDialog
processes audio natively through a unified pipeline. This architectural advantage delivers:
- 10–15x faster response times (232–320ms vs. 3–5 seconds)
- Natural interruption handling with semantic turn detection
- Built-in noise suppression and echo cancellation
- Seamless multilingual support across 98+ languages
- Expressive voice output with natural prosody and tone awareness
- Comprehensive analytics that show exactly what’s working and what needs optimization
The result is voice AI that actually feels conversational—the kind customers choose to use rather than escape from. And unlike black-box solutions, you have complete visibility into performance through real-time analytics and detailed call-level data.
Hear the Difference for Yourself
Don’t just read about faster response times and natural conversation—listen to real VelocityDialog interactions. Notice the immediate responses, seamless interruption handling, and natural conversational flow that keeps customers engaged instead of frustrated.
These recordings show actual VelocityDialog performance—not scripted demos or simulated interactions. This is what your customers will experience.
Appointment Scheduling and Rescheduling
VelocityDialog handles a multi-turn appointment change request, including checking availability, offering options, gracefully handling a mid-conversation change of mind, and confirming the rescheduled time. The overall process is efficient and natural—without the awkward pauses or rigid turn-taking of traditional IVRs.
Balance Check + Transaction Search
VelocityDialog retrieves account balance and then intelligently searches transaction history when the customer asks a follow-up question—demonstrating contextual understanding and multi-step data retrieval in a single natural conversation.
A Single Unified Pipeline
The architectural difference matters. VelocityDialog’s native end-to-end audio processing eliminates the latency and complexity of traditional multi-stage pipelines—delivering the responsive, natural interactions customers expect.
| Capability | Traditional Text LLM Pipeline | VelocityDialog™ |
|---|---|---|
| Response Latency | 3,000–5,000+ ms | 232–320 ms (10–15× faster) |
| Pipeline | Multi-stage: STT → Text → LLM → TTS | End-to-end native audio |
| Interruptions | Poor – requires complete utterances | Semantic VAD with graceful handling |
| Languages | Separate STT/TTS configuration | 98+ languages, instant switching |
| Integration | Multiple services to orchestrate | Single unified API |
| Turn Detection | Silence-based VAD only | Semantic context-aware |
VelocityDialog works with your existing contact center infrastructure—Genesys, Cisco, Twilio, Azure Communication Services, and more. Our platform-agnostic approach integrates with whatever stack you’re running.
You Can't Optimize What You Can't Measure
VelocityDialog™ includes built-in analytics that give you complete visibility into AI performance—no more wondering whether your voice AI is actually working or just sounding good in demos.
Real-Time Performance Metrics
Monitor the KPIs that matter to your business:
- AI resolution rate – Percentage of calls successfully handled without transfer
- Transfer rate – When and why customers escalate to agents
- Average duration – Call handling efficiency
- Call volume tracking – Today and historical trends
- Sentiment analysis – Customer satisfaction indicators
Intent & Function Analysis
Understand what customers need and how well you're serving them:
- Top intents by volume – Which use cases drive the most calls (Claim Status, Eligibility, Auth Status, Provider Validation)
- Function performance tracking – Success rates for each backend integration (NPI Verify: 96.8%, Eligibility Checks: 5,432 calls)
- Call-level detail – Complete transcripts with intent mapping, function calls triggered, sentiment, and outcomes
Individual Call Intelligence
Drill into any conversation to understand exactly what happened:
- Full transcripts with timestamps
- Intent classification per turn
- Which functions were called and their responses
- Call duration and sentiment
- Final outcome (resolved, transferred, status)
Strategic Implementation
That Delivers Results
VelocityDialog™ integrates with our proven AI Transformation Model™ and 5-Phase Migration Path™—ensuring your implementation delivers sustained business value, not just technical deployment.
Unlike vendors who rush to production, we validate performance, prove ROI, and ensure your team is ready before scaling. The result: implementations that become industry case studies, not cautionary tales.
Step 1Experience VelocityDialog™
Schedule a demo to see VelocityDialog™ handling your specific use cases. We’ll configure sample conversations relevant to your industry and show you the platform’s capabilities in action.
Step 2Assess Readiness & ROI
A proven phased approach starting with controlled validation (shadow mode testing to prove performance), followed by progressive rollout with continuous optimization. We guide you through the business process changes required for lasting transformation—not just technology deployment.
Step 3Implement with Validation
Optimize your current contact center technology through strategic enhancements and intelligent automation. We take the lead on identifying improvement opportunities and implementing solutions that drive measurable business results without requiring complete platform changes.
For Technical Evaluators
Schedule a Technical Demo
See live conversation demos, review architecture and integration
approach, discuss performance benchmarks, and explore
customization options.
For Business Leaders
Request a Business Assessment
Understand ROI potential for your use cases, review implementation
timeline and effort, discuss pricing models, and see customer
success examples.
Key Questions Answered
Is this only for specific industries?
No—while our initial deployments focused on healthcare and financial services, VelocityDialog works for any contact center requiring transactional voice interactions. We have experience across insurance, utilities, telecommunications, and government services.
Does this replace our contact center platform?
No—VelocityDialog integrates with your existing platform (Genesys, Cisco, Twilio, etc.) as the AI conversation layer. Your routing, reporting, and workforce management remain unchanged.
How does pricing work?
VelocityDialog pricing is based on conversation volume and complexity. We offer both consumption-based and committed-volume pricing models. Contact us for a custom quote based on your requirements.
What's required from our team?
You’ll need to provide:
- Subject Matter Experts (SMEs) for use case identification and validation
- API/integration documentation for backend systems
- Stakeholder availability for approvals and UAT
We handle architecture, development, testing, and deployment.
How long until we see ROI?
We focus on proving value before scaling. Implementations show measurable improvements in containment rates once in production, with full ROI emerging as automation scales and operational efficiencies are realized. Timelines depend on your readiness, change management effectiveness, and scope—we provide realistic projections during the assessment phase.