How to assess the true cost of designing and deploying an AI-first IDP strategy

The market is currently flooded with confusion. Hyperscalers are offering ‘easy button’ LLM APIs at seemingly unbeatable prices—often as low as $0.10 per page. But for enterprise leaders, the question remains: Are you buying a solution, or just a box of parts?

Join Xabi Ormazabal, Chip VonBurg, and Tarakshaya Bhatia as they deconstruct the definitive Build vs. Buy Whitepaper. We will move beyond the ‘price per page’ fallacy and look at the hard data. Using detailed internal calculations, technical architecture insights, customer experience, and side-by-side architectural comparisons, we will expose the hidden ‘Dark Green’ costs of the DIY approach—from infrastructure engineering to the maintenance of complex extraction pipelines.

In this session, we will:

• Cut through the FUD: Understand why the market is confusing ‘Generative AI’ with ‘Enterprise Automation’
• Compare Apples to Oranges: See a line-item breakdown of why a $0.10 API scales to a $2.2M TCO when you add the necessary labor and infrastructure
• Reveal the ‘Dark Green’ Costs: A transparent look at the hard costs of implementation—hiring engineers, managing model drift, and building UI—that hyperscalers leave off the invoice
• The 272% ROI Path: How to achieve a payback period of under 6 months by leveraging an agentic platform approach

Don’t let hidden costs sink your AI strategy. Learn how to calculate the real price of performance and build the best strategy for your organization.