/loop in practice
AI agents at work, in your tools.
Prototypes we built and recorded on test data. The agent does the work; a person approves every decision.
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Supplier invoice → paid
Fatture in Cloud
Qonto
Xero
A supplier invoice reaches the mailbox.
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Bank movement → reconciled
Qonto
Xero
QuickBooks
The bank movements are imported every morning.
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Overdue invoice → reminder
Xero
QuickBooks
Gmail
Invoices past their due date are listed.
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Customer email → answer
Intercom
Outlook
Gmail
A customer writes to the care mailbox.
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Quote request → quote
HubSpot
Pipedrive
Gmail
A customer asks for a price by email.
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Review → classified
BókunShopify
New reviews arrive from every portal.
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Departure → seats in sync
BókunEvery morning the departures are listed.
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Contract → renewal
SharePoint
Google Drive
DocuSign
Contracts ending in the next 90 days are listed.
Control
You decide what the agent may do, tool by tool.
Start with reading. Raise the level as you see the results.
- A person approves everything the agent writes.
- When data cannot leave the company, the AI runs on your own servers.
What changes
The same invoice, today and with the agent.


Second brain
One brain for the whole company.
Every tool feeds the same memory, and every automation draws on it. Ask it anything; it answers with its sources.
Your tools
Ask
One: the logistics supplier, on invoice 2026/124. The payment was held and confirmed by phone.
SourcesXeroGmail
It remembers your data, your rules and your past decisions.
Automations
Supplier invoicesCollectionsCustomer careSales quotesContractsYour tools
Pick the tools you use. See where to start.
We connect through an MCP serverMCP is an open standard that lets an AI agent use a program directly, with the permissions you give it. or a secure API.
Administration and finance
Customer care
Sales
Operations and projects
People
Documents
Online sales and bookings
Select the tools your company uses.
Which process costs you most time?
Tell us, with the tools you use. We read every request and reply by email.