The hidden tax of “Franken-stacks” that sabotages AI strategies

Presented by Certinia

The initial euphoria around Generative and Agentic AI has shifted to a pragmatic, often frustrated, reality. CIOs and technical leaders are asking why their pilot programs, even those designed to automate the simplest of workflows, aren’t delivering the magic promised in demos.

When AI fails to answer a basic question or complete an action correctly, the instinct is to blame the model. We assume the LLM isn’t "smart" enough. But that blame is misplaced. AI doesn’t struggle because it lacks intelligence. It struggles because it lacks context.

In the modern enterprise, context is trapped in a maze of disconnected point solutions, brittle APIs, and latency-ridden integrations — a “Franken-stack” of disparate technologies. And for services-centric organizations in particular, where the real truth of the business lives in the handoffs between sales, delivery, success, and finance, this fragmentation is existential. If your architecture walls off these ...