Part ofAI automation
Reporting and data flows
Automated reporting flows pull figures from the systems you already run, assemble them by the same rules every time and deliver the result as an email, a document or a message in Teams or Slack. The language model handles the summary and the commentary, not the calculation, because numbers should be computed by code that returns an identical answer on every run.
Pulling and joining
Most reports that eat half a day each month do so because the data sits in four systems that do not talk to each other. The flow pulls via API, normalises the fields and lands the result in a table you can inspect, and that part is what actually removes the work.
The commentary, not the number
Once the figures are computed the model receives them alongside the previous period and writes the explanatory text: what deviates, by how much and against what. That is a task requiring language rather than arithmetic, which makes it the right kind of work to hand over.
When a source is unavailable
A reporting flow that quietly skips a source produces a report that looks correct and is wrong, which is worse than no report. When data is missing the flow alerts and withholds delivery rather than filling the gap with stale figures.
Common questions about this service
Can the report land straight in Teams or Slack?
Yes. Delivery is the last step in the flow and can go to email, Teams, Slack, a shared document, or several at once. The common pattern is a short summary in chat with a link to the full detail, because that is the format people actually read.
Can the AI get the numbers wrong?
Not in this setup, because the model never calculates. Sums, comparisons and percentages are computed in code and handed to the model finished; it only writes the explanatory text. That is also why the same run against the same data produces the same figures every time.
More in the same area
n8n development
Workflows built in n8n, self-hosted or in the cloud, with code where code is warranted.
Document and invoice flows
Invoices, orders and contracts read, checked and posted without manual entry.
Customer support and ticketing
Incoming tickets sorted, prioritised and answered with the draft already written.
Reporting and data flows
Data pulled, assembled and commented on automatically, on a schedule.
