Automated reporting with AI commentary, built around your numbers

Automated reporting means your recurring report is built by software on a schedule instead of by a person copying numbers into a deck. The data is pulled from your systems, checked, calculated and laid out the same way every time, then sent to the people who need it. In the version I build, an AI model also drafts the written summary from the calculated figures, and a person approves it before it goes out.

Automated reporting starts from €1,500 for the setup of one recurring pack. The final price depends on how many sources need connecting, how many pages the pack has and whether you want an approval step before sending. You get a fixed quote before work starts. Keeping it running afterwards is optional through the Care plan, which is quoted together with the project.

I start by tracing where every number in the current report comes from. Then the sources are connected to one model, each KPI gets a written definition, the layout is rebuilt to match what your readers already know, and data checks are added before sending. The automated version runs next to your manual one for one cycle, so you can compare every figure before switching over.

Yes, and that is often the quickest route to automated reporting, because the model and the measures already exist. I keep your semantic model as the source, set up the refresh and the delivery schedule, add data checks before each send and, if you want it, an AI-drafted summary of the period. Before quoting, I check whether your current Power BI licences cover the delivery you have in mind.

Yes, the service is a starting point and the pack is built to your brief. Tell me in your own words what the report should show, who reads it, how it should look and where it should arrive, and I match that as closely as the data allows. If you already have a deck or spreadsheet your directors like, I usually copy its layout so nobody has to relearn anything.

No, because the AI never calculates anything. All figures come from the data model, the AI only writes sentences about numbers it is handed, and a check compares every number in the draft with the data before sending. If a figure in the text does not match, that line is flagged instead of sent. You also approve the commentary yourself, so nothing reaches the board without a person reading it first.

The setup is built to send the model as little as possible: only aggregated figures, never customer-level or personal data. I'm based in the Netherlands, use EU regions where the provider offers them and choose API terms that exclude training on your data where that option exists. NDA and DPA on request. If you prefer, the whole thing can run inside your own Microsoft tenant.

No, Power BI is one option and not a requirement. If you already have a Power BI model I build on it, because then the report and the dashboard share one definition per KPI. Without it, the pack can read directly from your accounting package, a database or exported files and arrive as an email, a PDF or a web page, with no per-user licence needed.