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Building AI Agents That Actually Work in Business Workflows

Building AI Agents That Actually Work in Business Workflows

via Dev.to PythonSyntora

Everyone is talking about AI agents. The pitch is compelling: autonomous software that reasons, plans, and executes multi-step tasks without human intervention. The reality is more nuanced. Most businesses do not need a fully autonomous agent. They need targeted automation with intelligence at specific decision points. I run Syntora, a consultancy that builds custom AI automation for small and mid-size businesses. Over the past year, I have built and deployed production agents using the Claude API from Anthropic. Some worked exactly as planned. Others taught me expensive lessons about where agents break down. This is what I have learned about which patterns actually work and which ones will burn your budget before delivering value. Can an Agentic AI Handle Complex Decision-Making in Business Workflows? Yes, but only within well-defined boundaries. The word "complex" is doing a lot of heavy lifting in that question. An agent can handle complex classification, complex extraction, and com

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