Podcast Description
AI has made the build option look almost free. A few prompts, a weekend, and you have something that resembles a value calculator. What you don’t have is a methodology, a maintained model, a governance trail, or a seller who trusts the number in front of the CFO.
In this episode of Value Coffee Talk, we dig into the build versus buy decision for value automation in the AI era. Vikas Mundada, a community favorite and value leader for Ping Identity, joins us to unpack why the hard part was never the math, why frameworks and structure determine whether AI produces credible value or confident noise, and what total cost of ownership really looks like once you account for maintenance, enablement, and trust.
What you’ll take away:
- Why AI amplifies the quality of your value framework rather than replacing it
- Where homegrown tools quietly break: model drift, adoption, and no one left to own it
- The training and certification gap that stalls most AI rollouts
- How to compare TCO honestly, including the costs that never show up in the build estimate
- Where value automation management is heading, and what to stand up now
If your team is debating whether to build your own value engine, listen before you commit the sprint.
Sound bites
- “Frameworks make AI work better.”
- “Get your team certified on AI tools.”
- “Outcomes matter more than hypotheses.”
Chapters
00:00 Introduction to Value Coffee Talk Podcast
00:55 The Build vs. Buy Dilemma in AI
06:02 Challenges of Implementing AI Solutions
11:19 The Importance of Frameworks and Structure
18:21 Training and Fundamentals in AI Adoption
22:59 Total Cost of Ownership: Build vs. Buy
27:22 The Future of Value Automation Management
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