Automate a review that already makes sense
By this stage you should have repeated several measurement and decision reviews. That experience reveals which collection and preparation tasks are repetitive. Start with those tasks. A reporting workflow is useful when it makes a defined review more reliable or less laborious; adding automation before the definitions are clear can multiply confusion.
Use manual exports where they remain practical. Supported APIs or provider notifications can replace repeated handoffs when their benefits justify the setup and maintenance. The first version should cover a small number of essential sources and produce a review that a person can verify.
1. Define the reporting contract
Write the business decision, the measures required, the reporting period and the source of truth for each value. State the expected source refresh times and how late or missing inputs appear. A report should not quietly carry last week's number forward as if it were current.
Define completion: the inputs are collected, checks pass or exceptions are visible, calculations are reproducible, and the interpretation is reviewed. Assign an owner for failed imports and changed provider fields. Include an explicit status such as complete, partial or blocked in the private operating record.
Keep the original exports or source snapshots when appropriate, together with the report version and collection time. The purpose is traceability. A later reviewer should be able to understand why a published number had that value at that point in time.
2. Separate the five responsibilities
The logic layer defines metrics, exclusions, calculations and decision rules. The data layer stores source records, stable identifiers, dates and the derived reporting tables. The intelligence layer can help summarise findings, suggest investigations or explain patterns from supplied evidence. The orchestration layer coordinates collection, checks, retries and review steps. The presentation layer shows the scorecard, charts and public narrative.
Keep deterministic calculations in explicit code or formulas. If AI drafts an interpretation, give it the checked evidence and require it to distinguish observations from hypotheses. It should not fill missing values, silently change a metric definition or claim that a correlation proves a cause.
An ordinary sequence of imports, calculations and notifications remains a workflow. More flexible reasoning can be introduced as a bounded component when the task needs it. The presence of an AI API call does not require treating the entire reporting system as an autonomous agent.
3. Connect only the repeated work
For each source, choose a supported export or API route and document its fields. Normalise timestamps, identifiers and currencies deliberately. Retain the original values needed to understand any transformation. Validate required fields and row uniqueness before calculating the scorecard.
Design retries and reruns around stable records. An import attempted twice should not double the week's sales. A corrected source record should be distinguishable from a newly created one. Keep a run identifier and an error summary so failures can be investigated without exposing unnecessary customer data.
Protect credentials using the hosting or workflow environment's secret configuration. Public website code and downloadable templates should contain configuration names and examples, not working secrets. Keep the review output separate from private raw records so publishing an episode cannot accidentally reveal its entire source dataset.
4. Validate and prepare the presentation
Compare selected totals with the provider's native report. Check record counts, reporting periods, duplicates, missing values and important status changes such as refunds or reversed commissions. Record any mismatch and hold the affected claim until it is understood.
Generate the charts from the checked reporting table. Add the period, unit, source and relevant qualification. The same data can drive a website summary and a faceless video, while their explanations are adapted to each format. Review the final text and visual labels before publication.
Illustrative case
Clearweft's first reporting workflow could import website events, confirmed subscriber totals and an affiliate report, then calculate a small weekly scorecard. A missing affiliate export would produce an unavailable status for those measures. The workflow could still publish the verified website and email review, with the limitation visible.
The deliverable this week is a working reporting contract and a repeatable small process. Measure the maintenance it introduces alongside any collection time saved. Add another source only when it helps answer a useful business question.
You are finished when: A reviewer can trace each published result to its source and reproduce the calculation.
Check your work.
A reviewer can trace each published result to its source and reproduce the calculation.
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