Reporting automation

Reporting automation is a system that builds your recurring reports for you. It connects to the tools where the numbers live, your CRM, accounting software, spreadsheets, and project tools, then pulls the current figures on a schedule, assembles them into the report you already run, and writes a plain-language summary of what changed. It covers the reports the business repeats: weekly ops metrics, sales pipeline, client status updates, monthly board pack sections. A person reviews each one before it goes out. The point is that nobody rebuilds the same report by hand every cycle.

A BI dashboard is a live screen you have to log into and read. This is a finished report that gets built and delivered to the people who need it, in the format they already use, on the cadence they expect. The exports each tool offers only cover that one tool, so you still have to pull from several systems and stitch them together yourself. Reporting automation does the pulling, the reconciling across systems, and the writing of the summary, then hands you one assembled report to review and send. It is done-for-you recurring reporting, not another screen to check.

This is the case the setup is built around. When a source changes a field, goes down, or returns a figure that does not reconcile with another system, the report does not quietly publish a wrong number. It flags the problem, holds the questionable figure, and surfaces it to the reviewer instead of guessing. A report that confidently shows a wrong number is worse than no report, so the system is tuned to say "this looks off" rather than fill the gap. Reconciling what each metric means across systems is the hard part of the build, and it is tested against real data before anyone relies on the output.

Yes, always, when the report reaches leadership or a client. The system does the pulling, reconciling, and assembling, then puts the finished report in front of a reviewer who checks it and approves it before it sends. That review usually takes minutes instead of the hours the manual build used to take, because the work is already done and the person is confirming rather than constructing. For lower-stakes internal reports you can choose to let it send automatically, but anything going to a client or the board keeps a person in the loop by default.

On the source side, CRMs like Attio, HubSpot, and Salesforce, accounting tools like QuickBooks, Xero, and NetSuite, payment and analytics tools like Stripe and Google Analytics, spreadsheets in Google Sheets and Excel, and project tools like Asana and Jira. On the delivery side, email, Slack, Notion, Google Docs, and slide formats like Google Slides and PowerPoint for board packs. Most tools with an API can be added. The audit maps your exact stack and confirms which sources feed each report.

Usually two to three weeks. The first days go to connecting the source systems and pinning down what each report contains, how often it runs, and who reviews it. The harder part is agreeing on what each metric means across systems so the numbers reconcile, then testing the assembled report against real data for a cycle or two before anyone depends on it. You see a first live report quickly, and the testing window is what makes the output trustworthy enough to send to leadership or a client.

Two parts. Tooling runs as a modest monthly cost for the connectors and model usage, typically a per-report or per-source range that scales with how many reports and systems you run. Implementation is a fixed scope, quoted once the audit maps your reports, sources, and review setup, so you are pricing a defined build rather than an open-ended retainer. The audit itself is where the scope and price get set against every other opportunity in your business, so you are not guessing at effort up front.