Voice AI that thinks before it speaks.
The Thinking Voice helps executives and engineering leaders move beyond rigid IVR menus to intelligent, agentic voice systems that earn customer trust — built on architecture, not hype.
Founded by Hari Kishan — Director of Cloud Engineering at Manulife, author, and enterprise AI architect.
Hari Kishan
- Author — The Thinking Voice (5.0★ on Amazon)
- Researcher — 5 published papers in GenAI & voice agents
- Speaker — Apex Assembly, AI Loves Data, ClueCon, BDI
- Press — Insights Success “Icon to Watch in 2026” cover
Three ways we work together
Practical, architecture-first guidance for organizations building conversational AI at enterprise scale.
Voice AI & Agentic Architecture
Design hybrid SLM/LLM systems with context lakes, confidence gating, and real-time orchestration. Architecture before model selection.
Contact Center Modernization
Move from legacy IVR to AI-augmented platforms: dynamic routing, sentiment-aware responses, RAG pipelines, measurable AHT reduction.
AI Governance & Trust
Security, privacy, explainability, and human oversight frameworks for regulated industries — governance as a competitive advantage.
The challenges, named plainly
Your voice AI feels like 2015
Latency is eroding trust
The board wants governance
Models outrun architecture
Venkata Harikishan Koppuravuri
Architecting Agentic Voice AI for IVR and Contact Centers
A strategic guide and practical roadmap for executives, CX leaders, and enterprise architects modernizing contact centers. Beyond theory: governance, scalability, observability, and human oversight in real deployments.
Published work
Research on agentic AI, voice agents, and planning robustness. Google Scholar → · All papers →
Confidence-Gated Hybrid SLM-LLM with Context Lake and Feedback for Low-Latency Insurance Voice Agents
Self-Improving Frontier Agents for Insurance Operations
One conversation clarifies the architecture.
Bring the voice AI decision on your desk. A straightforward discussion — assessment, not a pitch.