AI or rules-based automation: which fits your workflow?

Start by describing the task you want to improve. List its inputs, decisions, actions and exceptions. Then examine which steps can follow explicit rules, which involve interpreting information and which should stay with a person.

This gives you a more useful starting point than choosing a technology first.

Identify the repetitive work

Choose one workflow and follow it from beginning to end. Who starts it? What information is required? Which systems are involved? Where does someone wait, re-enter information or make a judgment?

Record the exceptions as carefully as the normal path. An automation needs a defined way to handle missing information and situations outside its intended scope.

Look for decisions you can write down

If a step can be expressed as a clear condition, evaluate a rule or standard integration first. For example, an illustrative workflow could create a task when an approved order reaches a specified status.

Before adding complexity, ask whether that approach would meet the business need. The useful question is what the task requires, rather than whether AI can be included.

Identify where interpretation may help

Some tasks involve varied documents, open-ended questions or requests written in different ways. These may be candidates for an AI-assisted step, but the decision needs representative examples and an agreed way to evaluate the results.

Ask what an acceptable output looks like, how a reviewer would recognize an error and what should happen when the output is incomplete or uncertain. Do not treat an impressive demonstration as enough evidence for a wider rollout.

Separate preparing information from taking action

In an illustrative supplier-request workflow, one step might prepare a summary, another might validate required fields and a person might approve the final action.

Specify these responsibilities separately. Define the tools the automation can access, the actions it can take and the situations that require review. This makes the proposed workflow easier to assess and test.

Compare options with the same examples

Use a small, representative set of cases that includes normal work, incomplete information and known exceptions. Compare the current process with the proposed approach.

Look at the usefulness of the output, time spent checking it, failed cases, operating cost and the work required to maintain the system. Define what would justify continuing, changing the approach or stopping the experiment.

Questions for the first conversation

1. What task are we trying to improve, and who owns it?
2. Which steps already have clear rules?
3. Where does the work require interpretation?
4. What information and system access are available?
5. Which actions need a person's approval?
6. How will we evaluate useful results and failures?
7. Who will handle exceptions after launch?

The answer may be a standard integration, a rules-based workflow, an AI-assisted step or a combination. A focused evaluation should help you choose an approach you can operate as well as demonstrate.