AI agents and workflows make different decisions about your business
Workflows follow a defined sequence or set of rules, while an AI agent may make more of the decisions about how to complete a task. Choose the level of flexibility the work actually requires, then set permissions, review points and stopping conditions. Greater autonomy creates additional operating responsibilities.
Put the advice into practice
Build a workflow your team can actually rely on
Connect systems and follow-up with agreed rules, human review and exception handling.
Discuss your workflowThe word “agent” can describe several different products. A useful business discussion gets beyond the label and asks which decisions the system will make, which tools it may use and what a person must approve.
Describe the decisions before naming the architecture
Anthropic’s engineering explanation of effective agents distinguishes predefined workflow paths from systems in which a model directs more of its process and tool use. That is a helpful architectural distinction, while individual vendors may use the terminology differently.
A workflow can still include an AI step. For example, a fixed process might ask a model to draft a summary, then route that draft to a person. The presence of a model does not necessarily mean the system is choosing its own sequence of work.
Compare the responsibility involved
| Question | Defined workflow | More agent-directed process |
|---|---|---|
| What happens next? | An agreed rule or sequence selects the step | The model may select an approach or tool |
| What needs testing? | The steps, branches and handovers | The decisions, tool use, boundaries and final result |
| Where is uncertainty handled? | A defined exception route | A bounded decision process with escalation |
| What remains essential? | Reliable inputs, ownership and monitoring | Reliable inputs, ownership, permissions and monitoring |
These are planning categories rather than a promise that one design is always simpler, cheaper or more accurate. A real system may combine both approaches. The choice should follow the task and its consequences.
An illustrative research-and-summary task
Imagine a hypothetical organisation wants a weekly summary of approved public industry updates. A defined workflow might collect material from agreed sources, ask for a draft and send it to an editor. The sequence is known in advance.
A more agent-directed version might select additional sources, decide which items require investigation and use different tools to resolve a question. That flexibility could be useful, but it also requires clearer source rules, tool permissions and evidence review. The organisation must decide what the system may access and what it may publish or change.
The example does not establish that the more autonomous version is preferable. If the fixed sequence meets the need, the extra decisions may add complexity without adding enough value.
Set boundaries around actions and information
List the actions the system can take and distinguish reading from changing something. Searching approved public information is different from editing a customer record, sending a message or committing expenditure. A broad task description should not silently grant all of those permissions.
Define when a person reviews a draft, approves an action or takes over. Specify what happens when the system lacks evidence, receives conflicting instructions or cannot complete the task within its limits. Those conditions should be part of the design rather than discovered only after a failure.
Keep a useful record of what happened. The authorised operator needs enough context to understand the source information, significant decisions and actions taken without exposing private data to unnecessary audiences.
Choose a design your team can evaluate
Test realistic tasks and difficult cases against agreed criteria. Review the accuracy and usefulness of the result, the appropriateness of tool use and whether the system respected its boundaries. A polished demonstration does not answer every operating question.
Include the people who will maintain and rely on the system. They need to understand how to stop it, how to investigate an issue and which changes require another review. The existing exception-handling guide can support that operational planning.
Start with the least complex design that can fulfil the approved task. Expand the decision-making scope only when the need and evidence justify it. The useful outcome is a system the business can operate with clear responsibilities, whatever name the product gives it.
