Automated reporting that builds and sends itself

What actually eats the time

The slow part of reporting is rarely the thinking, it is the gathering. The numbers live in separate systems that do not talk to each other, so someone exports each one, lines them up, fixes the mismatches, and only then gets to the part that needs a brain. By the time the report is ready, it is describing a week that already ended, and the person who built it has lost half a day they will lose again next week.

Automation collapses the gathering to zero. We connect directly to the systems the numbers come from, pull them on a schedule, and run the same calculations every time, so there is no drift between how this month was measured and how last month was. The report stops being a chore someone remembers to do and becomes something that simply arrives, consistent and on time, whether or not anyone is at their desk.

• Data pulled straight from source systems, not re-exported by hand
• The same calculation every period, so numbers are comparable over time
• Scheduled delivery: daily, weekly, monthly, or triggered by an event
• Delivered where people already look: email, Slack, a shared drive, or your BI tool

What a report can look like

A report is whatever format the recipient actually uses. For a leadership team that might be a clean PDF with the month's headline numbers and a short written summary. For an operations lead it might be a spreadsheet with the underlying rows so they can dig in. For a client-facing team it might be a branded document that goes out to each client with their own figures filled in. We build to the destination, not to a template we happen to like.

We also automate the distribution, which is often the fiddly part. One monthly report can fan out into forty client-specific versions, each pulling that client's data, each addressed and sent automatically. What used to be a full day of copy-paste-and-send becomes a job that runs overnight and lands in forty inboxes by breakfast, every version accurate because none of them was assembled by a tired human at 6pm.

• PDF, spreadsheet, slide, or email body, whatever the audience reads
• Per-client or per-team versions generated and addressed automatically
• Charts and tables drawn from live data, not pasted screenshots
• Your branding and layout applied consistently across every copy

Where AI writes, and where it does not

The numbers in an automated report never come from a language model. They are pulled and calculated by pipelines and code you can audit, because a report is only useful if you trust the figures in it. What AI is good at is the layer on top: reading the numbers and drafting the plain-English commentary a reader would otherwise write by hand. Revenue up eight percent driven by the enterprise segment, churn steady, one region lagging, here is what changed. That narrative saves real time and it is genuinely hard to do well at scale.

Because a written summary can be confidently wrong, we keep it grounded and, where it matters, reviewed. The model only describes data we have already validated, it cites the figures it is talking about, and for anything that goes to a board or a client we can route the draft to a person for a quick approval before it sends. You get the speed of an auto-written narrative without the risk of a machine inventing a story the numbers do not support.

Built in your accounts, owned by you

Every report we build runs in your systems and your automation accounts, against your data, with the logic documented so your team can read it. We are not inserting a Roiwerk dashboard between you and your own numbers. When we hand over, you own the report definitions, the templates, the pipelines, and the code, and you can change a calculation or add a recipient without calling us.

Because a broken report that looks fine is dangerous, we build in checks from the start. If a source system fails to respond, if a number comes back null, or if a figure jumps outside a sane range, the automation raises an alert instead of quietly sending a wrong report. You are never in the position of having circulated a confident number that turned out to be an export that half-failed at 3am.