Weekly report automation: start with the rules

Pick a recurring report whose reader and purpose are clear. For example, an operations manager might need to decide which unresolved tickets need attention.

Write down the reporting period, deadline, source systems and person responsible for checking the result. Agree what the report must leave out.

A useful first scope has a stable input, an agreed output and a review owner. Changing definitions every week makes automation harder to evaluate.

Use explicit rules for totals, dates and categories. A database query or spreadsheet formula is often enough; AI is not needed for arithmetic.

AI may help summarise notes or group recurring themes. Its draft should remain traceable to the records used, with uncertain interpretations identified.

Do not ask a model to fill missing figures. Show unavailable data as unavailable, and distinguish missing records from a genuine zero.

This fictional example illustrates a counting rule, not a client result or a working integration.

Suppose an export contains 3 unique tickets: T-101 is open, T-102 is closed and T-103 is open. Count each ticket once.

The output is 3 tickets in the export, of which 2 are open. It is not necessarily 3 tickets created that week.

To report tickets created during the week, filter by creation date. To report a backlog, define the cutoff and the source coverage.

A draft summary can link to T-101 and T-103 for review. It must not invent their urgency, owner or resolution date.

Use an approved, minimised sample of data to test the rules. Keep personal or confidential details out unless they are necessary and authorised.

Choose permissions that match the task. A report generator may need read access without permission to update tickets or send messages.

Check these cases with the report owner before relying on the output:

• Duplicate ticket IDs across exports: agree how to resolve conflicting versions.
• Missing dates or changed status labels: flag exceptions rather than guessing.
• Time zones and cutoff times: define which reporting period each record belongs to.
• A failed export: mark the report incomplete instead of treating that source as empty.

Run the draft alongside the existing process over representative reporting cycles. Compare totals, source references, exceptions and the effort required to review it.

Record preparation and correction time before and during the pilot. This establishes evidence; it does not guarantee savings.

Agree continuation criteria in advance. If the data is unreliable or the review takes longer, fix the inputs, simplify the scope or stop.

If the report is small and a spreadsheet already works well, keep it. Automation is worthwhile only when it improves the actual process.