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AI and automation

“Can AI handle this?” Start by naming what “this” includes. Reading a purchase order, finding the right product and accepting a different price are separate jobs. They don't need the same freedom.

This lane is for the person responsible for the process and the person building it. We'll explain agents, compare them with fixed workflows, and follow a customer PDF through matching, validation and exception review. You'll see our fictional company Sandline's examples in Beezr, with AI proposing an answer and later workflow steps controlling what happens next.

Start with what agentic AI means if the terminology is getting in the way. Then use AI agents vs workflows to choose who should control the next step. Ready to build? Follow the document processing guide from source PDF to accepted sales order lines.

For the connections between an AI application and its tools, read what MCP is and MCP vs API. Those guides explain the protocol separately from Beezr's supported capabilities.

Our advice throughout: choose one job, define a successful outcome, and make the exception route visible. See AI steps in Beezr, or bring one process to work through its records, checks and approvals.

  1. What Is Agentic AI? How It Works, Examples, and Agentic AI vs AI Agents8 min read
  2. AI Agents vs Workflows: Which Does Your Business Process Need?8 min read
  3. What Is MCP? Model Context Protocol and MCP Servers Explained7 min read
  4. MCP vs API: What Changes When AI Uses Your Business Systems8 min read
  5. AI Document Processing: From a PDF Purchase Order to a Valid Sales Order9 min read

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