Automate one task. Give the whole team more momentum.

How do you automate a business workflow with AI?

Start with a recurring task, its information sources and the result it needs to produce. Define permitted actions, test representative cases and compare total working time before and after, including review. A useful automation reduces the work involved without moving an excessive burden into checking outputs or dealing with exceptions.

Find the friction that keeps coming back

A useful starting point is often a task everyone recognises: copying the same information, finding documents, preparing a summary or responding to a recurring request. It may not look strategic. Yet it takes up space in the day and interrupts work that needs attention.

Before discussing tools, ask the team to describe how the task actually happens. Detours and exceptions can be as revealing as the intended process. You are looking for work to simplify, alongside the people who know it.

1. Map the real process

Write down the trigger, the information used, the applications opened and the expected result. Include points where someone waits for a reply or asks a colleague for help. A short description is enough if it reflects everyday work.

Observe several examples. A perfectly prepared case only tells part of the story. An incomplete document or an unclear request may reveal a substantial share of the effort. These situations belong in the trial too.

2. Choose a first scope

Look for a task that happens often enough to observe, uses accessible sources and produces a result the team can check. Keep connections and actions limited to what is needed.

In an illustrative scenario, an assistant prepares replies to delivery questions. It retrieves the relevant procedure and authorised order status, then produces a draft. It does not handle complaints or send anything without approval. This gives the team a clear way to test whether the process helps.

A narrow scope also makes it easier to understand why a result fails. You can adjust one source, one rule or one connection without changing every part of the working day at once.

3. Write down the boundaries

Define what the assistant may read, prepare and change. Specify which actions need approval, which missing information it should flag and which cases should go to a person. The handover needs an owner and enough context to continue the work.

These rules make the assistant’s role clear. They help everyone work from the same expectations and provide a reference against which to review its actual behaviour.

4. Measure all the work

Compare the current and assisted processes using comparable examples. Include review, corrections and exception handling. Generation time alone does not represent the time the team actually saves.

Tool costs, implementation and ongoing support also belong in the assessment. Freed time creates capacity; its value depends on what the team can do with it. It does not automatically become a cash saving.

5. Decide with the people using it

At the end of the trial, return to the team. Are there fewer handovers? Are supporting sources easy to find? Do exceptions reach the right person with enough context?

Choose the next step from that evidence: improve a source, adjust an approval, gradually extend the scope or keep a step manual. Each change should address an observed need.

Automation can then create space to serve customers, make decisions or develop ideas. A well-chosen first process can introduce a simpler way of working at a pace that suits your organisation.

Explore how we build these workflows with your team.

The NIST AI RMF connects context, measurement and risk management. Use our oversight checklist to define the actions the assistant may take.