Internal Reporting Automation
A prototype pipeline that pulls operational data automatically and generates a plain-English AI summary, replacing a manual weekly report.
A recurring weekly report was being manually compiled from several spreadsheets, taking hours each week and frequently going out late or with errors from manual copy-pasting.
An automated pipeline was built to pull data directly from its source, and an AI-generated summary was layered on top to translate raw numbers into a plain-English update for stakeholders.
- —Mapped exactly where the source data lived and how it needed to be combined
- —Built an automated pipeline to pull and consolidate the data on a schedule
- —Used AI to generate a short, readable summary alongside the raw figures
- —Tested output accuracy against manually compiled reports from prior weeks
The prototype illustrates a reporting process that runs on a schedule with no manual compilation — demonstrating the kind of time recovered when repetitive reporting work is automated.
AI-generated summaries are genuinely useful, but only once the underlying data pipeline is reliable — automation has to fix the data problem before it can fix the reporting problem.