Automated ERP reporting
Reports that build themselves, straight from the platform’s own data.
The problem
Modern ERP and business platforms hold the numbers, but getting a usable report out of them often still means exporting, reformatting, and re-assembling in a spreadsheet — every week, every close, every time someone asks. The report is stale the day it’s finished, and the person building it is doing clerical work a machine should own.
The approach
iTech88 builds reporting that draws directly from the platform’s own API (the same source of truth the system itself uses) and assembles it into the report automatically, on schedule. The export-reformat-paste cycle disappears; the numbers arrive already in the shape the business reads them in.
The outcome
Reports that are current, consistent from one period to the next, and produced without a standing weekly chore attached to them. The time that went into building the report goes into reading it.
Evidence
A client example: automated profit-and-loss reporting for a Southern California healthcare clinic. Twice a month, the system pulls the practice’s QuickBooks Online data, computes month-over-month and year-over-year comparisons, flags any figure that has moved outside its normal range, and emails a finished set of reports to the business — unattended, on schedule, with no one exporting a spreadsheet by hand. It’s built in Python (pandas for the analysis, Jinja2 for the report layout, running on a fixed schedule), and the same pattern generalizes to any accounting or ERP platform with an API.