From PoCs to Production: Making Agentic AI Real Across Enterprises

Proofs of Concept in AI are easy to build and even easier to celebrate. But, very few survive the journey to real-world production.

In the latest Newgen TV podcast, Varun Goswami, Global Head of Product & AI of Newgen Software, and our guest speaker, Mike Gualtieri, VP & Principal Analyst at Forrester, unpack why less than 20% of AI PoCs scale successfully. The duo discuss the challenges enterprises face when demos move to deployment, and how agentic AI can be designed for compliance, auditability, and ROI from the initial stage.

The conversation was moderated by Runki Goswami, Chief Marketing Officer of Newgen Software.

Lessons Learnt from the Podcast

Agentic AI can be the perfect companion in orchestrating intelligence across the full decision lifecycle. Using lending and insurance as examples, the discussion highlights how agentic systems:

• Ingest and interpret documents intelligently
• Apply business rules and ML models together
• Decide when to approve, reject, or escalate to humans
• Operate with audit trails, policy controls, and compliance guardrails

Key Takeaways from the Conversation:

• PoCs should be built with production in mind from day one
• Platforms matter more than prompts for long-term success
• Compliance, privacy, and governance cannot be bolted on later
• Gradual deployment models (A/B testing, champion–challenger) reduce risk
• Enterprises that scale AI into production achieve 2–5x higher ROI

Watch the Full Conversation 

Discover how leading enterprises can move beyond PoCs – and make agentic AI real, responsible, and scalable.