Every Monday at seven, an Aivell queries your own database — Postgres, Oracle, SQL Server, whatever you run — builds the weekly report, writes it into the management sheet and mails a plain-words summary to the team. No copy-paste, no BI project, and the numbers never leave your office.
starts when: Monday, 07:00 — the schedule fires
Somewhere in your company there is a Monday ritual: export from the management system, paste into a spreadsheet, repair the columns that broke, redo the same comparisons as last week, write three lines of commentary, hit send. It eats someone’s best hours on the busiest morning of the week — and when that someone is on holiday, there simply is no report.
The absurd part is that the numbers already exist, correct and current, in your database. The work is not analysis; it is transport. And transport between systems is precisely the kind of work that keeps 62% of employee time stuck in repetitive tasks.
The interesting rules stay yours: what counts as “worth mentioning”, who gets which version, what joins the monthly rollup. You change them by editing a sentence, not a report template — and the guardrails make sure the chore can read your data but never rewrite it.
No flowcharts, no code — a chore is just a message to your Aivell, in your own words. It shapes it into a solid, guarded procedure and follows it to the letter. This one:
every monday at 07:00, query last week's orders from the sales database
break revenue down by product line and by region
compare with the same week last year; call out anything off by 15% or more
pull open complaints from the support sheet and add a short section
write a five-line summary in plain words on top — no jargon
update the weekly tab in the management sheet, keeping past weeks intact
mail the report to the management list; Elena gets the detailed version
first monday of the month, append the monthly rollup too
Connected with single-click passkeys — no copied tokens, no OAuth hell.
Every tool can be limited to exactly what this chore needs. For this one, you might set:
No. The Aivell talks to the database you already have — Postgres, Oracle, SQL Server, anything with a standard driver — and to Google Sheets. The report is described in plain language, not in a dashboard builder.
On the box, in your office. The queries run against your database over your own network, the reasoning happens onboard, and the mail goes out through your own mail server. No analytics cloud ever sees a number.
Yes. The report is a chore written in sentences. Add "include a table of the ten slowest-paying customers" and next Monday it's there.
It says so. Rather than mailing garbage, the Aivell flags what it couldn't verify — a failed query, a revenue figure ten times the usual — and asks before sending.
An on-premise AI colleague watches your database and speaks up only when a threshold breaks — with the numbers, the trend and the context attached.
Type a question in the chat, get the answer from your own SQL data — queried read-only, computed onboard, with the query shown for the curious.
Your Aivell compares spreadsheets with the database, explains every mismatch in one line, and mails the list — financial data checked behind your firewall.
An on-premise AI colleague for manufacturing back offices: turns order emails into system entries, works supplier portals, watches stock, reads shop-floor photos.
Order status, returns and price checks handled by a private AI colleague — onboard inference, so customer data never leaves your shop.
An Aivell is an on-premise AI colleague: a small box that plugs into your network, runs its own AI onboard and takes the repetitive work off your desk. Prompts, documents, data — nothing ever leaves your office. Unplug the internet: it keeps working.
You describe each task as a chore, in plain language. Your Aivell turns it into a solid, guarded procedure and runs it in the background — with guardrails on every tool, a complete audit trail, and approvals in your hand when you want them. One-time setup, fixed monthly fee. No tokens, no overages.
onboard inference · air-gapped · fixed monthly fee