VoxOps
Transforming Contact Centers with Real-Time AI Agent Assistance
With Azure OpenAI at its core, VoxOps re-engineered the entire contact center workflow, achieving:
FCR improvement
reduction in average handle time
lower agent supervision needs
transcription accuracy across all calls
Market Context
The global AI contact center software market is projected to exceed $15 billion by 2028, with conversational AI contact center solutions driving the majority of growth. Healthcare and financial services contact centers spend $8-12 million annually on operations, with 60% of costs tied to agent training, quality monitoring, and compliance.
Manual quality assurance covers only 1-2% of calls, leaving 98% of customer interactions unmonitored. Traditional systems analyze calls after they end, when it’s too late to help agents or save failing interactions.
VoxOps entered the market to solve this: deliver intelligent call center platform capabilities with voice AI for contact centers that assist agents during conversations, not after.
The Challenge
- Weeks of agent training for complex scenarios
- No real-time guidance during difficult calls
- 1-2% call monitoring due to manual QA limits
- Missed commitments from incomplete documentation
- Compliance violations discovered only after audits
The Vision
Built for Regulated Industries
We focus on healthcare contact centers and financial services where compliance and security are non-negotiable.
Real-Time Intelligence
Unlike post-call analytics, VoxOps provides real-time AI agent assist with live call suggestions that help agents during conversations, when it matters most.
Compliance-Ready Architecture
HIPAA-compliant, PCI-ready infrastructure with encryption, audit logging, and role-based access control built-in from day one.
Production-Grade Performance
Sub-200ms latency ensures agents receive suggestions instantly. Processes 10,000+ calls daily without degradation.
Before & After
Before VoxOps
- Agents search knowledge bases during calls
- Supervisors monitor <2% of interactions
- Commitments lost in incomplete notes
- Quality coaching happens weeks later
- Compliance gaps discovered in audits
After VoxOps
- Real-time suggestions based on conversation context
- 100% of calls automatically scored and monitored
- Automatic extraction of commitments and action items
- Immediate coaching recommendations after each call
- Real-time compliance alerts prevent violations
- Proactive customer success through predictive insights
User Personas
Contact Center Directors
Needed scalable quality monitoring without increasing supervisor headcount.
VP of Customer Experience
Sought to improve first-contact resolution and customer satisfaction metrics.
Compliance Officers
Operations Managers
Wanted to reduce handle time and minimize costly agent errors significantly.
Implementation Journey
01
Discovery & Use Case Definition
Pendoah conducted research with contact center leaders to identify critical pain points and compliance requirements.
02
Architecture Design
React frontend, FastAPI backend, Azure OpenAI Realtime API integration for NLP-powered voice AI processing.
03
AI Engine Integration
Generative AI applications using Azure OpenAI combined with knowledge base RAG for context-aware suggestions.
04
Compliance Alignment
Built to HIPAA and PCI specifications with end-to-end encryption, audit logging, and data retention controls.
05
Deployment & Scaling
Launched with a WebSocket-based real-time architecture, processing thousands of simultaneous calls with sub-200ms latency.
Design Principles
Privacy-First
End-to-end encryption and configurable data retention meet healthcare and financial regulatory requirements.
Real-Time Performance
Sub-200ms latency ensures agents receive suggestions without perceptible delay or conversation interruption.
Audit-Defensible
Full conversation transcripts, suggestion logs, and quality scores create complete audit trails automatically retained.
Human-in-the-Loop
VoxOps provides conversation context suggestions, not mandates. System learns from agent choices.
Integration-Ready
RESTful APIs integrate with platforms (Genesys, Five9, Avaya) and CRM systems (Salesforce, Dynamics).
Features & Modules
Real-Time Agent Assist
Context-aware suggestions based on conversation analysis and knowledge base integration.
Sentiment Analysis Engine
Real-time emotion detection with escalation alerts and de-escalation recommendations for contact center agents.
Commitment Extraction
Automatic detection of promises, callbacks, and action items, eliminating manual note-taking entirely across conversations.
Quality Assurance Automation
AI scores every call automatically, delivers real-time coaching, and flags compliance risks for contact center agents.
Knowledge Base Integration
Instant access to relevant policies and procedures during live conversations without disrupting agent workflows.
Analytics Dashboard
Real-time analytics showing operational metrics, agent performance trends, and compliance visibility for supervisors.
Competitive Landscape
Option
Limitations
Why VoxOps Wins
Post-Call Analytics
Help agents after calls end
Real-time assistance during conversations
Generic AI Chatbots
Not contact center-specific
Purpose-built for voice, compliance, quality
Legacy Call Center Software
Complex, expensive, outdated UX
Modern interface, <200ms latency, scalable
Manual Quality Monitoring
Covers <2% of calls
Automated scoring of 100% of interactions
Lessons & Future Roadmap
What Worked
Combining Azure OpenAI with domain-specific knowledge bases drove immediate adoption and accuracy.
Challenge
Ensuring low latency (<200ms) for real-time suggestions at scale across thousands of concurrent calls.
Solution
WebSocket-based architecture with edge processing delivered consistent sub-200ms performance.
Next Phase
- Multi-language support (Spanish, French, Mandarin)
- Integration with workforce management systems
- Predictive analytics for call volume forecasting
- Advanced fraud detection for financial services
Conclusion
VoxOps demonstrates how custom AI development services can transform contact centre operations, delivering measurable improvements in efficiency, quality, and compliance while reducing operational costs. As one of the best AI for call centers, VoxOps combines real-time assistance with enterprise-grade security.
Organizations seeking AI-powered customer service solutions benefit from Pendoah’s proven healthcare AI expertise and deep understanding of regulated industries.
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