Why Your Agents Fail: It's not the Data, it's the Context
Last Updated on August 28, 2025 by Editorial Team
Author(s): Saleh Alkhalifa
Originally published on Towards AI.
Unlocking Smarter AI with Business Logic
AI Agents are truly the latest “buzz” in tech circles. From developers, to product owners, to business leaders and even executives, everyone is suddenly talking about autonomous AI Agents and decision support tools.
This article discusses the significance of context in the deployment of AI agents, revealing how organizations often lack essential business narratives when they utilize raw datasets. It highlights the challenges of answering nuanced questions without proper context and presents a framework where an AI agent is paired with a dataset and its corresponding business context to generate more accurate and relevant insights. By incorporating context, the agents are depicted not just as data processors, but as analytical tools that can transform numbers into actionable business decisions.
Read the full blog for free on Medium.
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