Conversational AI for Enterprises: Production Readiness through Validation and Guardrails
Conversational AI for Enterprises: Production Readiness through Validation and Guardrails
Even with powerful AI models like OpenAI’s GPT and Google’s Gemini, deploying conversational AI in real enterprises is not simply a “lift-and-shift” process. The success of these systems depends heavily on the industry, the data environment, regulatory requirements, and how the organization operates. In this talk, we will explore why conversational AI cannot be deployed blindly , especially in sensitive areas like healthcare and why human oversight, evaluation, and guardrails are essential for production readiness. We will discuss practical implementation approaches, compare how conversational AI is used across different industries, and highlight the key challenges and risks that teams must address before scaling
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- Starts 28 January 2026 05:00 AM UTC
- Ends 06 February 2026 05:00 AM UTC
- No Admission Charge
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Conversational AI for Enterprises: Production Readiness through Validation and Guardrails
Even with powerful AI models like OpenAI’s GPT and Google’s Gemini, deploying conversational AI in real enterprises is not simply a “lift-and-shift” process. The success of these systems depends heavily on the industry, the data environment, regulatory requirements, and how the organization operates. In this talk, we will explore why conversational AI cannot be deployed blindly , especially in sensitive areas like healthcare and why human oversight, evaluation, and guardrails are essential for production readiness. We will discuss practical implementation approaches, compare how conversational AI is used across different industries, and highlight the key challenges and risks that teams must address before scaling
Biography:
Vigneshwaran Jagadeesan Pugazhenthi is a technology architect with over 12 years of experience in contact center technology and customer experience engineering, driving large-scale digital transformation across enterprise contact centers and cloud platforms through intelligent automation.
He has worked with Fortune 500 companies such as Accenture and Cognizant and is currently supporting one of the largest healthcare providers in the United States, leading enterprise-scale conversational AI implementations. His work focuses on modernizing customer engagement platforms while ensuring scalability, reliability, and regulatory compliance.
Vigneshwaran has deep expertise across leading contact center and AI platforms, including Genesys, Amazon Connect (AWS), and IBM Watson, as well as the implementation of AI solutions using leading providers such as OpenAI, Google, LangGraph-based architectures, and AWS Nova Sonic. He has led multiple IVR modernization programs, delivering advanced capabilities such as voice biometrics, SMS deflection, customer profiling to improve customer experience and operational efficiency
He has also implemented large-scale automation solutions that have delivered significant cost savings and operational efficiencies for enterprises. His hands-on expertise with tools such as Cyara, IVR automation frameworks, UiPath, and other process automation platforms has enabled organizations to reduce manual effort, improve testing coverage, and accelerate deployment timelines.
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