Agentic Workflow

An agentic workflow is the practical application of AI agents to real business processes. Instead of a human performing each step manually — or even a simple automation following rigid rules — an agentic workflow uses AI reasoning at each decision point, adapting to unexpected situations.

Consider a software development workflow: an agent reads a task description, analyzes the codebase, writes code, runs tests, fixes failures, updates documentation, and creates a pull request. At each step, it makes context-dependent decisions. If tests fail, it reads the error, reasons about the cause, and fixes it — rather than stopping and waiting for a human.

The power of agentic workflows compounds when multiple agents collaborate. A development agent writes code, a testing agent validates it, a documentation agent updates the docs, and a deployment agent pushes to production. Each agent is a specialist, and the orchestration layer coordinates them into a seamless pipeline. This is exactly how Agentik {OS} operates — not as a single AI tool, but as an interconnected system of specialized agents executing real business workflows.