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Agents and automation

Does the task need an AI agent or a workflow?

A workflow follows a defined route. An agent partly chooses the route. The better solution is the simplest one that safely covers real variation.

The short answer

Use a workflow for known, rule-based processes and an agent only where varying cases require flexible interpretation or tool selection.

In brief

  • Workflows are more predictable, easier to test and usually less costly to operate.
  • Agents help when information and next steps vary significantly by case.
  • A hybrid is often effective: a fixed process frame with bounded AI-enabled steps.

The central difference

A workflow represents a defined process: after step A, a rule determines whether B or C follows. AI can classify text or extract data inside one step without turning the entire process into an agent.

An agent receives an objective and uses the current state to choose a tool or next step. That increases flexibility, but also the number of possible paths and therefore the evaluation and control effort.

The central difference
CriterionWorkflowHybrid solutionAgent
VariationKnown routes and rulesFixed frame with variable AI subtasksThe route partly emerges during execution
TestabilityEvery path can be reproduced directlyDeterministic frame, AI steps covered by evalsMany possible paths; assess outcome and tool route
Risk and controlApprovals and limits are explicit in the processConsequential steps remain fixed and approval-basedNarrow tool rights, limits, observability and stop rules required
Cost and operationsUsually predictableAdditional model cost at selected stepsMore calls, variable latency and greater evaluation effort
Typical exampleInvoice approval using fixed rulesAI reads an invoice; the workflow validates and approvesResearch assignment with varying sources and tools

When is a workflow the stronger choice?

A workflow fits when the process and exceptions are known, mandatory sequences apply or every step must be repeated traceably.

  • Mandatory checks and approvals follow fixed rules
  • Actions have legal, financial or operational consequences
  • Volume, cost and runtime need precise planning
  • Errors must be handled at a clearly known step

When can an agent help?

An agent becomes interesting when cases vary widely, relevant information must first be found and a fixed branching structure would become disproportionately complex. The agent should still be constrained to a bounded purpose and a small set of tools.

  • The research path and required sources differ by assignment
  • Unstructured information must be interpreted and combined
  • Several low-risk tools may be needed in varying order
  • The result can be reviewed before a consequential action

Why hybrid solutions often work well

Many robust solutions use a fixed workflow as a guardrail. Within it, AI handles bounded tasks: classifying documents, retrieving information, creating a draft or suggesting a next option. Approvals, system changes and escalation remain deterministic.

This applies flexibility where natural language and variation occur while keeping the business-critical path traceable.

Four questions for the decision

Start with the lowest necessary degree of freedom. More autonomy can be added later if real cases demonstrate its value.

  1. Step 1

    Variation

    Are possible paths known, or do they emerge only while the case is handled?

  2. Step 2

    Impact

    Can a wrong action be reversed, and who remains accountable?

  3. Step 3

    Evaluation

    Can success be judged objectively and every intermediate step traced?

  4. Step 4

    Exceptions

    When must the system stop and hand over to a person?

Example from day-to-day business

Example: incoming invoice processing

Invoices arrive in different formats and must be matched against purchase orders and receipts. A fixed workflow controls intake, mandatory checks, matching and approval. An AI step extracts fields and classifies discrepancy reasons; uncertain cases enter a review queue. A freely planning agent would add little because the variants are known and financial actions require a clear, logged process.

What to remember

A well-built workflow is not a technological step backwards. It is often the more dependable architecture. Agentic steps belong only where flexible selection produces measurably better results.

Sources and further reading

These primary sources provide further detail on definitions, technical foundations or responsible use.

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