Managing the Transition From Predictable API-Based Software Toward AI Agents
More businesses are transitioning from API-based software to autonomous AI agents in an effort to remain competitive, but doing so requires significant planning to mitigate problems like hallucinations and their consequences.
Until recently, most businesses relied on traditional platforms and APIs to support their operations, in large part because these tools generally produced predictable results. When users performed a defined action, the software followed established authentication, authorization, and transaction rules.
Contrast this with agentic AI, which, while potentially more productive than traditional APIs, introduces the issue of interpretation. Specifically, AI systems function by interpreting a user’s intent and independently determining which actions to take. This flexibility creates value, but it also introduces a sense of uncertainty because an agent may take an action the user did not anticipate.
AI’s reliance on interpretation to function prompts an important question for enterprises looking to adopt AI systems: how can organizations benefit from...
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