Every use case below is a chore: a procedure written in plain language, run in the background, behind your firewall. Pick the ones that hurt.
58 use cases · onboard inference · guardrails on every tool
Triage, drafting, chasing, digesting — the inbox worked for you, not by you.
Your info@ mailbox, triaged by a private AI colleague — classified, routed, and the routine ones answered. Behind your firewall, around the clock.
Your Aivell drafts a reply to every incoming email, in your voice — you review, edit and send. Drafting happens on the box, behind your firewall.
Recurring customer questions answered by email within minutes, from your own documents — on a box behind your firewall. The rest goes to a human.
Incoming requests become structured tickets in your database — deduplicated, prioritized, acknowledged with a number. Processed entirely on-premise.
An on-premise AI colleague chases unanswered emails and missing client documents — politely, on a schedule, stopping the moment the reply arrives.
Customers write in any language; your Aivell replies in theirs and briefs the team in yours. Translation runs onboard, so mail never leaves the office.
Purchase orders arriving by email — PDF, scan, photo or plain text — read onboard, checked against your prices, entered into your system, confirmed back.
One morning email: what arrived overnight, what needs a decision, what was already handled. Read and written on a box in your office, not in a cloud.
Invoices, receipts, contracts, photos — read onboard, filed as data. Nothing uploaded.
An on-premise AI colleague reads every supplier invoice — PDF, scan or photo — and books it into your sheet or database. Invoices never leave your office.
Employees snap a receipt and email it. A private AI colleague reads the photo on the box, categorizes the spend and books it — the image never leaves your network.
Incoming paperwork classified, renamed and filed to the correct folder by an AI colleague that reads each page inside your office — no document uploaded anywhere.
An on-premise AI colleague reads each incoming contract, logs parties, value and renewal terms in a register — and books the deadlines on your calendar in time to act.
Applications screened against your job description into a ranked shortlist — read entirely on a box in your office, so candidate data never reaches a cloud.
Delivery notes, meter dials and site damage read from photos by a vision model on your own box — and written straight into your database as structured records.
Supplier invoices matched against purchase orders behind your firewall. Clean matches approve themselves for payment; only the mismatches reach a human.
Appointments proposed, booked, reminded and rescheduled without the ping-pong.
Customers email for an appointment; a private AI colleague checks the calendar, proposes slots, books and confirms — nothing leaves your office.
Reminder emails before every appointment, reschedules handled by reply — run by an AI colleague on a box in your office, not in someone's cloud.
Cc a private AI colleague on the 'let's find a time' thread: it collects availability, finds the slot, books the room and survives the reschedules.
One email at 7:30 with today's meetings — and for each one, the latest thread, open items and client notes. Compiled onboard, inside your network.
Rooms, vans and equipment booked by email or chat against shared calendars. A private AI colleague settles conflicts before they reach the yard.
A website colleague that answers, qualifies and books — around the clock.
A chat widget on your site, an AI colleague in your office. Visitors qualified 24/7, leads saved, sales alerted — conversations never leave your network.
Visitors pick a real free slot in your site chat and get a real calendar invite — booked by an AI colleague on your box, not a scheduling cloud.
Website support chat answering from your indexed manuals and policies, onboard your box — and handing off to email the moment it isn't sure.
Evening and weekend inquiries answered on the spot by an on-premise AI colleague. Mornings start with qualified, pre-handled requests — not a backlog.
Specs gathered in chat or email, prices looked up in your own database, a draft quote ready for approval — margins never leave the office.
Reports written, numbers watched, systems kept in sync — straight from your database.
Your Aivell queries the database, builds the weekly report and mails it out on schedule — computed onboard, so your numbers stay behind your firewall.
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.
Your Aivell compares spreadsheets with the database, explains every mismatch in one line, and mails the list — financial data checked behind your firewall.
A webhook fires in one system, your Aivell writes the record correctly into the other — on-premise glue between your tools, with guardrails on every insert.
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.
An Aivell dedupes and normalizes customer records on a schedule, logs every proposed change, and touches nothing until a human approves. All onboard.
Portals without APIs, sites worth watching — the Browser Agent goes where a browser goes.
The Browser Agent logs into supplier, bank and utility portals, downloads the month's invoices and files them on your share — passwords never leave the box.
Your Aivell fills government, insurance and customs portals from your own database — field by field, drafts first, with the submit button gated by guardrails.
The Browser Agent reads competitor pages daily, keeps the history and mails a diff — only what changed, never a data dump. Your watch list stays private.
A new lead lands and your Aivell researches the company on the web, scores the fit and completes the record — sales opens a briefing, not a bare email.
Your Aivell re-reads tender portals, regulations and terms pages on schedule, and emails a plain-words summary when something actually changed.
Onboarding, approvals, reminders, reconciliations — the checklists that run themselves.
Overdue invoices from your own database become polite, escalating reminders — sent by an on-premise AI colleague and stopped the moment payment lands.
An on-premise AI colleague requests, tracks and chases client certificates ahead of the deadline — every send logged, nothing processed in the cloud.
Expense, discount and purchase requests arrive pre-checked: case summarized, policy applied, one tap to decide. All prepared on your own hardware.
Joiner and leaver checklists run themselves — IT notified, sessions booked, progress tracked — by an AI colleague that keeps HR data inside the office.
Candidates and interviewers coordinated by a private AI colleague — slots offered, rooms booked, reminders sent — while applicant data stays behind your firewall.
New suppliers hand in paperwork once — an on-premise AI colleague checks it, chases the gaps and registers the vendor. Documents never leave your network.
Hours chased, checked and compiled into one master sheet before the payroll cutoff — by an AI colleague that works entirely inside your office network.
Stock levels watched nightly in your own database, reorder emails drafted per supplier — and nothing is sent until you approve it with a tap on your phone.
The monthly close as an orchestrated checklist — figures pulled, reconciliations checked, owners chased — by an AI colleague that keeps the books onboard.
Holiday requests collected by email, checked against your rules and each other, and turned into a conflict-free schedule ready for approval — on-premise.
Your documents, indexed on the box and answering questions — without leaving it.
Every manual, contract and memo indexed on a box in your office. Your team asks in plain language and gets cited answers — nothing leaves the building.
New documents arriving by email or landing on the share are read, indexed and made searchable automatically — on a box inside your own network.
Leave, benefits, expenses — employees ask in chat and get answers quoting your own HR handbook. Questions never leave the box in your office.
Describe a task in chat and your Aivell drafts the chore — steps, guardrails, schedule. Nothing runs until you have read it and said yes.
Webhooks, repos, helpdesk triage — glue work handled inside your network.
Any system that can send a webhook can trigger a chore — your shop, your form tool, your monitoring. The glue logic runs on a box in your office.
New issues labeled, deduplicated and given a first response, plus weekly repo housekeeping — handled by an AI colleague on your own hardware.
Password questions and how-do-I requests answered from your own runbooks; real incidents structured and escalated. All behind your firewall.
Merge CSVs, convert files, dedupe exports — your Aivell writes and runs the script in a no-network sandbox on the box. Data in, result out, nothing else.
WhatsApp, Telegram, Slack — the same colleague on the channels your people already use.
Customer questions on WhatsApp answered from your own knowledge base and systems — with reading and drafting done on a box in your office.
Appointment reminders on WhatsApp, with confirmations and rescheduling handled in the same thread — run by a private AI colleague on your premises.
Trigger chores, get readable alerts and approve exceptions from a Telegram group — while the work itself runs on a box inside your network.
Ask the box anything from Slack — company questions answered with sources, chores triggered, approvals in-channel. Inference stays on your premises.
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