Where AI automation can help your business—and where to keep human review

Look for a repeatable task

Good starting points often include organising incoming requests, preparing a first draft, summarising a document or moving information between tools. Write down the current steps and identify where the team spends time on predictable work.

Choose a task with a clear beginning, an expected output and a way to evaluate the result. This makes a small pilot easier to test and maintain.

• Identify the input, owner and expected output.
• Document how often the task occurs and how it is handled now.
• Choose a pilot with manageable permissions and clear review criteria.

Decide whether you need AI

Many tasks are better handled by rules. If a form field maps directly to a CRM field, a normal integration may be sufficient. If a task requires interpreting variable language or drafting a response, AI assistance may be useful.

A mixed workflow can combine deterministic steps with an AI-assisted stage. Keep validation and system-of-record updates explicit so the process remains understandable.

Plan data access and permissions

An automation should have access to the information it needs for its job. Review the connected tools, provider settings and the data being sent between them. Record who can change the workflow and where its outputs are stored.

Avoid placing credentials in user-facing code or shared documents. Use the platform’s supported secret storage and document how access can be revoked or changed.

• Use the narrowest practical tool permissions.
• Document providers and the types of information they receive.
• Separate test data from live customer records.

Keep review where consequences matter

A draft response and an automatically sent message have different consequences. Important customer communication, financial decisions and changes to records may need approval before execution. Design that review into the workflow rather than relying on someone to notice a mistake later.

Give reviewers enough context to assess the proposed action. A clear input, draft output and reason for the handover make the process easier to operate.

Test failure states and measure the benefit

External tools can be unavailable, inputs can be incomplete and model outputs can be unsuitable. Decide what happens in each case. A useful system records the problem, preserves the work and gives the team a safe way to retry or take over.

After the pilot, compare the time spent, review effort and result quality with the original process. Expand only when the workflow provides a useful benefit and someone owns its maintenance.