Taming the agentic influx: a blueprint for AI business observability
Kin Lane discusses the challenges of managing AI expenditures in organizations due to a disconnect between engineering and business teams. He emphasizes the need for improved observability that focuses on business outcomes rather than just technical metrics. Lane believes that AI can help bridge this gap by creating a common vocabulary for traceability and accountability.
- ▪The bill for AI is approaching as organizations struggle to understand and govern their AI investments.
- ▪There is a persistent divide between engineering and business, leading to a lack of communication and understanding.
- ▪Lane advocates for a shift towards business observability that focuses on outcomes and costs rather than just technical details.
Opening excerpt (first ~120 words) tap to expand
Naftiko sponsored this post. Kin Lane, API industry analyst and co-founder of Naftiko, believes that the bill for AI is coming soon. It’s arriving on top of an overdue tab that has been quietly accumulating for almost a decade, as API sprawl and application proliferation have outpaced businesses’ ability to understand, govern, or cost what has been built. “I was getting people to care about it for APIs and API management,” Lane tells The New Stack. “Then AI slammed into us, and all that was forgotten.” As organizations pour resources into AI with mounting urgency, the same foundational reckoning is playing out on a larger scale and at a faster pace. For Lane, the current generative AI rush draws a direct parallel with the early days of cloud migration.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at The New Stack.
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