Agentic workflow

01why it matters for a business

Most valuable processes are neither fully predictable nor fully open ended. An invoice dispute, a new patient intake, or a supplier onboarding follows a known shape, but each case has messy inputs that rule-based automation chokes on. An agentic workflow keeps the shape you already trust and lets the model handle the judgment calls inside it: reading a document, classifying a request, drafting a response, deciding which branch applies.

For an executive this is usually the right first bet. The process stays auditable because the steps are fixed, the model's freedom is limited to the steps where it adds value, and failures show up at a known point instead of somewhere in a sprawling autonomous run. It is easier to test, easier to explain to compliance, and cheaper to run than an open-ended agent.

02what it looks like in practice

A property management company receives maintenance requests by email, text, and a web form. The workflow is fixed: intake, classify, check warranty and lease terms, schedule a vendor, confirm with the tenant. The model does the parts that used to need a coordinator: reading free-text descriptions and photos, judging urgency, pulling the relevant lease clause, and drafting the tenant message. Anything marked urgent or outside policy goes to a person before a vendor is booked.

Each step logs what the model decided and why, so the operations lead can review a week of decisions in an afternoon and tighten the rules where it drifted.

03common mistakes

• Letting the model own the whole process when only two steps need judgment. Keep deterministic steps deterministic; they are cheaper and never hallucinate.
• Automating a process nobody has written down. If the team cannot describe the steps and exceptions, the model cannot follow them either.
• No logging of intermediate decisions, which makes errors impossible to trace.
• Treating the first version as finished. Workflows improve by reviewing real cases and adjusting prompts, rules, and thresholds.

04related terms

• AI agentAn AI agent is software that uses a language model to pursue a goal by choosing its own next steps: it reads the situation, picks a tool or action, checks the result, and repeats until the task is done or it needs a person.
• Workflow automationWorkflow automation is the use of software to carry out the steps of a business process, such as moving data between systems, routing approvals, sending notifications, and updating records, without a person doing each step by hand.
• AI orchestrationAI orchestration is the coordination layer that decides which model, tool, data source, or agent handles each step of a task, in what order, and what happens when a step fails.
• Human in the loop (HITL)Human in the loop is a design pattern in which a person reviews, approves, or corrects an AI system's output at defined points before it takes effect.
• RPA vs AI automationRobotic process automation (RPA) uses software bots that mimic a person's clicks and keystrokes to follow fixed rules across applications.

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