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AI & ML

Agentic Workflow

A multi-step process where one or more AI agents carry out a task autonomously, coordinating tools and decisions along the way.

An agentic workflow chains an AI agent’s reasoning and actions into a repeatable process, for example, triaging an incoming request, gathering the data needed to handle it, drafting a response and routing it for approval. The workflow is the structure; the agent is what fills in the judgement at each step.

The value is in automating work that is too variable for a rigid script but too repetitive for a person to enjoy. The discipline is in bounding it: a good agentic workflow knows what it is allowed to do, records what it did, and hands off to a human at exactly the points where a mistake would be expensive.

Working out whether you need Agentic Workflow?

Definitions are the easy part. If you are trying to decide whether Agentic Workflow belongs in your system, describe what you are building and a senior engineer will give you a straight answer, including when the answer is that you do not need it.

  1. 01A senior engineer reads it. Not a form queue, and not an account manager.
  2. 02We reply either with questions or with a straight answer that we are not the right fit.
  3. 03If it looks like a fit, a technical call with the person who would actually run the delivery.
  4. 04Then scope, effort and risk in writing, before anyone signs anything.

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