Agentic Workflow Architecture Diagram Examples

These agentic workflow examples show how orchestration changes shape — from a fixed linear pipeline, to a plan-execute-reflect loop, to event-driven and human-gated workflows.

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Agentic Workflow Architecture Diagram Examples

Real examples

Linear pipeline (no loop)

Who uses it: Developer automating a fixed sequence of AI steps

Trigger → step 1 → step 2 → step 3 → output

Each step is a fixed LLM or tool call

No planner — the sequence is hardcoded

State passed forward between steps

Deterministic: same input, same step order

Why this works: A linear pipeline is the simplest 'agentic' workflow — it's really just a chain. The diagram has no loop or planner because the steps never change, which is the right choice when the task structure is known up front.

Plan-execute-reflect loop

Who uses it: Team building a workflow that adapts as it runs

Planner decomposes the goal into dynamic steps

Loop: execute → tools → reflect on the result

Reflect step can revise the remaining plan

State store holds the plan and completed-step results

Termination check ends when the goal is satisfied

Why this works: Plan-execute-reflect is the canonical agentic workflow — the reflect step is what makes it adaptive, letting the workflow revise its plan mid-run rather than blindly executing a fixed sequence.

Event-driven workflow

Who uses it: Team triggering workflows from system events

Trigger is an event (webhook, queue message, schedule)

Workflow runs asynchronously, not tied to a user session

State persisted to a durable store for resumability

Steps can wait on external callbacks before continuing

Output is an action (email sent, ticket created), not a chat reply

Why this works: Event-driven workflows decouple the trigger from a user — the diagram emphasizes durable state because the workflow may pause for minutes or hours waiting on an external event before resuming.

Human-gated workflow

Who uses it: Team where steps need approval before proceeding

Loop runs until it hits an approval gate

Workflow pauses and persists state at the gate

A human approves, rejects, or edits the plan

Approved → resume loop; rejected → re-plan

Every gate decision logged for audit

Why this works: Human-gated workflows insert an approval step into the loop — the diagram makes the pause-and-resume explicit, because the workflow must durably persist state while waiting, sometimes indefinitely, for a human.

Tips for better study mind maps

Draw the loop-back path explicitly — the iteration is what distinguishes an agentic workflow from a linear chain.
Show the termination check as a distinct decision node; a workflow without a visible stop condition is a bug waiting to happen.
Keep workflow state as a separate persisted node, not state hidden inside the loop — durability is what makes workflows resumable.
Separate the planner from the executor; planning and doing are different responsibilities even in one workflow.

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