Run your whole company
from one conversation.

The AI workspace for e-commerce and small teams. Ask anything, build automations that do the work, and teach it your rules once, so everyone gets the same answer.

Early access, by invitation. We are onboarding a few e-commerce companies by hand.

Prepare this week’s business update as a PDF and send me a draft every Monday.

Net sales, week 38

412 300kr

Up 8% on the week before. Sweden and Norway grew, Denmark was flat. Three orders paid on Tuesday have not shipped.

OfficialNet sales, an approved definition · Shopify orders, week 38

Weekly business update.pdfPDF · a draft for you to read Download
Weekly business updateA new automation · waiting for your approval
Runs
Every Monday at 07:00
Reads
Shopify
May create
One PDF, as a draft for you
ApproveScheduled runs start only after you approve.
Illustrative example
  • Every system in one place. Shopify, your mailbox, your warehouse and more. The Workshop builds connectors for more.
  • Automations that do the work. Describe it once. It runs on a schedule, an email or a webhook, within the mandate you sign.
  • Skills the whole team uses. Teach it how a job is done once, and everyone on the team works that way.
  • One answer, whoever asks. Approved definitions make net sales the same number for everyone.

Use cases

Your systems.
Working together.

Connect the tools you already run the business on, teach it your rules, then describe what you want done. Pick a team to see how.

Your systems

Company knowledge

What you get

Wikirules and policies
Skillshow the job is done
Definitionswhat numbers mean
Tablesprice lists · rates

Your workspace

Here’s Alpine’s new price list. Compare it with our price table and flag what needs my decision.

Every morning, check yesterday’s orders against the warehouse and tell me what’s stuck.

Draft replies to new emails in support@ from our returns policy, and hand me the ones it doesn’t cover.

Show last month’s net sales by country as a chart, and put it in a PDF for the board.

alpine-prices-autumn.xlsx
Table update Summary Summary PDF report

Price table · 14 changes

Before and after · 3 fall below your 40% margin

Preview · you confirm once

Stuck orders · 7

Paid yesterday, not shipped · 2 on a 2-day promise

Shopify and Ongoing, checked 07:00

Support today

214 in · 187 drafted · 21 to you

Drafted from your returns policy

Net sales by country · August

Source and period in the caption
Draft email

To Alpine Textiles: “Thanks for the new list. We accept 11 of the 14 changes and would like to talk about the other three…”

To the warehouse: “Seven orders from yesterday haven’t shipped. Two are on our 2-day promise, #48213 and #48219…”

To a customer, order #48213: “Your parcel left our warehouse yesterday afternoon. Sorry for the wait…”

To the board: “August report attached. Net sales 1 620 000 kr, up 6% on July; Norway grew fastest…”

Waiting for your review
Automation

When the price table changes

check margins against Shopify · notice in Slack

Within a mandate your admin signed

Every morning, 07:00

compare Shopify and Ongoing · notice in Slack

Within a mandate your admin signed

Every hour, in support@

read what is new · draft within your rules · propose a rule when none fits

New rules go to your wiki editor

First weekday of the month

the same report · drafted to you at 08:00

Within a mandate your admin signed

Verified with a live account Built and reviewed, live-account test pending

Four examples. Build around the way your company works. Illustrative workflows

How it works

From a sentence to a routine.

Two jobs, start to finish, in one conversation. Illustrative examples

  1. 1AskAnswers with sources
  2. 2DefineOne answer, whoever asks
  3. 3TeachA skill the whole team uses
  4. 4AutomateIt runs on its own

1 · Ask

What were net sales last week, and which products drove it?

Net sales, week 38

412 300kr

Up 8% on the week before.

Trail Jacket W+34% on the week before61 900 kr
Fjord Parka M+12% on the week before48 300 kr
Ridge Fleece−4% on the week before31 200 kr

Source-backed analysis · not official · Shopify orders, week 38

Make this an official definition

Without an approved definition it still answers, shows how it counted, and says the figure is not official yet.

2 · Define

Make that our definition of net sales: paid orders only, not cancelled.

∑
Net salesv1 · approved by Anna
Where it comes from
Shopify orders
What counts
Paid orders, not cancelled
Over what period
The question decides
In what currency
Swedish kronor
In whose day
Europe/Stockholm

On Thursday Erik, in purchasing, asks in his own conversation.

Net sales last week?

Net sales, week 38

412 300kr

OfficialNet sales v1 · Shopify orders, week 38

Whoever asks, the official figure is the same, and it says which definition it used.

3 · Teach

When you write our weekly update: net sales first, then the top five products, then anything low on stock. Short. Save that as a skill.

Weekly updatev1 · approved · the whole team
When to use it
When it writes the weekly update
Written from
This conversation, frozen with it
  • Open with net sales, using the official definition.
  • The five best-selling products, with change on last week.
  • Anything with less than three weeks of stock.
  • Five lines at most. No adjectives.

Skills are versioned and approved. Anyone on the team can use this one, in the chat or in an automation.

4 · Automate

Every Monday at 07:00, write the weekly update with that skill and post it in #management.

Weekly updatev1 · mandate signed by Anna, your admin
Runs
Every Monday at 07:00
Reads
Shopify ordersOOngoing stock
Follows
The skill Weekly update v1 and the definition Net sales v1
May create
One message in Slack #managementOne per run
The test run
09:31. The update was written, nothing was posted.

From Monday it runs on its own, within what Anna signed. The first posts wait in your review queue until you let it post directly.

Company knowledge

Teach it once.
It follows your rules.

Your people write the rules. Approved knowledge guides its answers and its work. Automations stay within the mandate you approved.

  • Rules and policiesThe wiki: a core page it reads every time, searchable pages behind it.
  • What your numbers meanDefinitions, approved once. Official figures use that version and say so.
  • How the job is doneSkills: the tone of a customer email, the steps of a product launch.
  • Lists that live nowhere elseTables for price lists, rates and exceptions, with every change kept.
  • Your own notesWhat you write down about how you work. Private to you.
How we workWiki · the core page, read every time
Shipping
2-day promise in Sweden and Norway for orders paid before 14:00.
Returns
30 days. Exchanges for another size are free.
Tone
Friendly, first names, no exclamation marks.
Edited by Anna · 3 Sep
Purchase pricesA table · revision 12
ProductSupplierPurchase price
Trail Jacket WAlpine Textiles604 kr
Fjord Parka MAlpine Textiles788 kr
Ridge FleeceNordwool276 kr
214 rows · every change kept
Proposed ruleFrom the support routine · not published
Written from
2 sources in the run
Gift cards can’t be returned. Offer store credit instead.
PublishDeclineNothing is published until you press.

When a case isn’t covered by your rules, the routine proposes one. Your wiki editor decides.

It proposes pages, definitions and skills in the chat, and a person saves them. Anything that steers how it works needs a second person’s approval, or the owner’s.

Data and security

Your data stays yours.

Protections enforced by the database and the platform, not by a policy document.

  • One company never sees another’s data.

    Isolation is enforced in the database itself and covered by the test suite.

    row-level security · every company table
  • Conversations are private.

    Not even your admin can open a colleague’s conversation. For oversight the audit log shows who asked and the start of the question, never the answer.

    chat · readable by its owner only
  • Personal data is masked.

    Email addresses, phone numbers, personal ID numbers and card numbers from your systems and files are masked in logs, receipts and what reaches the AI model. Personal data you name reaches the AI only when you expressly allow it. Names and street addresses are masked where a connection points out the field.

    a***@***.se · +46 ** *** ** **
  • No background copy of your systems.

    Connections are read when you ask, or when a routine you approved runs. Keys sit in a vault, never in the chat.

    read 09:14 · key in vault
  • Support only when you say so.

    Our support can look in only when your owner switches it on, for a set time, and every page they ask to see is logged.

    support · 60 min · switched on by owner
  • Not used for training.

    We train no models on your data, and our model providers do not train on data sent through their APIs by default.

    models trained on your data · none

Read the full data and security page

Questions

Before you ask.

Something we did not answer? We answer it when we onboard you.

Who is it for?

E-commerce companies and other small teams that run on a handful of systems: a store, a mailbox, a warehouse, a few spreadsheets. You don’t need an IT department.

Do we need a developer to get started?

No. Built-in connectors connect through a secure form or the vendor’s own sign-in page. For a system without one, the Workshop builds a connector from the vendor’s public API, and your admin approves it after a real test.

Which systems does it work with?

Built in today: Shopify, Google (Gmail, Calendar and Drive), a company mailbox on Google Workspace, Fortnox, Ongoing WMS, Slack and GitHub, plus notices to Microsoft Teams. Shopify and Google are verified with live accounts; the others are built and reviewed, and are tested with live accounts as companies join. Other systems with a public API can be connected through the Workshop when they sign in with an API key or a token; sign-in with OAuth for a system you connect yourself is not built yet.

What does it do without asking?

It reads, researches and prepares. Anything that leaves the company, an email, a message or a change in another system, waits for a person to approve exactly that, or runs within a mandate your admin has signed.

What happens when it isn’t sure?

It says so. If a check cannot be completed, it tells you what it could not verify instead of guessing, and an unclear outcome is never retried on its own.

What can it produce?

Answers with sources, charts from your own numbers, and files: PDF, Word, Excel, PowerPoint and CSV. It also reads the PDFs, spreadsheets, documents and images you upload.

What does it cost?

We publish pricing before launch. During early access we onboard a few companies by hand, by invitation.

Start with one task in your business.

During early access we set up one weekly task with you, and you decide what it may do on its own.

There is no open sign-up yet. Invited companies get their account from us, and colleagues are invited by their admin.