Collect
Read from approved APIs, exports, spreadsheets or forms on a schedule. Record the source and retrieval time for every input.
Recurring reports often consume Friday afternoon because the information lives in several tools, owners submit it in different formats and missing values surface late. A controlled workflow gathers the agreed inputs, validates them and prepares a draft without pretending that a generated narrative has approved itself.
A report owner exports data, asks colleagues for updates, repairs inconsistent labels, compares periods, writes commentary and formats the result. If a source is late or a metric definition has changed, the final review becomes a search for hidden assumptions.
Automation is useful when it makes the provenance and checks more visible. It is risky when it produces a polished document that hides missing inputs or silently changes a calculation.
Read from approved APIs, exports, spreadsheets or forms on a schedule. Record the source and retrieval time for every input.
Check required periods, totals, data types, duplicates and expected ranges. Stop the draft when a material input is missing.
Apply documented calculations and assemble tables or charts. If AI drafts commentary, ground it only in the validated figures and label it for review.
Give the owner a review-ready version, show warnings beside the affected metric and publish only after explicit approval.
When a source is unavailable, the workflow should mark the report incomplete and notify the owner. Reusing an old value without a visible warning creates a tidy report and a bad decision.
The handover covers sources, credentials, metric definitions, transformation rules, recipients, approval steps, alerts and the manual reporting path. It also states which wording is generated and which figures are calculated deterministically.
Possible success measures include preparation time, late inputs identified before review, corrections after distribution and the percentage of source values reconciled automatically. Korpalis agrees the useful measures after seeing the current process and reporting risk.
We will trace each figure, identify reliable integrations and show where validation and approval belong.
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