Voice AI has evolved from a novelty interface to a strategic channel reshaping how enterprises connect with customers, employees, and partners. But as adoption accelerates, the true differentiator lies not in the technology itself - but in how organizations design, govern, and measure it.
The challenge is ensuring that Voice AI delivers consistent, human-centered experiences while achieving measurable business outcomes. That means architecting intelligent conversational systems that enhance CX, integrate seamlessly with enterprise data, and continually learn from every interaction. It also means defining clear success metrics - from customer sentiment and efficiency gains to ROI and long-term brand impact - and building governance frameworks to monitor and optimize performance at scale.
Topics of discussion will include, yet will not be limited to:
- Designing Voice AI experiences that strengthen customer engagement and satisfaction
- Defining KPIs and frameworks to measure ROI, adoption, and CX impact
- Integrating Voice AI with broader data, analytics, and automation strategies
- Governing and optimizing Voice AI initiatives for scalability, trust, and continuous improvement
Shankar Krishnan, Product Management Leader - Bedrock GenAI Services, AMAZON WEB SERVICES
SriHarsha Anand Pushkala, Director, Fraud Strategy & Analytics, ATLANTICUS
Paras Doshi, Director, Head of Data - Data Science & Data Engineering, OPENDOOR
Raghu Para, Artificial Intelligence Architect & Technology Leader, Data Engineer & Scientist, Multi-Platform Engineering, FORD MOTOR COMPANY
Moderator/Speaker: Rahul Bhatia, Co-Founder & Vice President of Cloud Solutions, NUAAV
