AI automation for growing businesses

Automate the annoying stuff.

We automate processes in sales, projects, CRM and accounting with AI and tell you honestly upfront whether it pays off.

Get your process checked →

30 min · free · an honest take on whether it's worth it

n8n.your-company.com/workflow/payments

Run #0312Done in 5.2 s

Trigger

New payment

Business accountReceived: €1,284.50

AI · your server

Matching

with open invoicesMatching …Invoice 0847 found✓ Clear match

Approval

A person confirms

by email, if you want itWaiting for reply …✓ Approved by email

Target

Accounting

Reserve to sub-account✓ Reserve booked

Payment matchedMüller GmbH · Invoice 0847 · €1,284.50

With approval · logged

Active · runs on every paymentLogged · traceable

The situation

Where your time goes today.

The invoice that gets handled four times It arrives by email, lands in a folder, gets typed up and then booked. Four steps nobody needs.

The same questions, every day Your team answers the same questions about status, appointments and prices every day, and the real work waits.

AI, yes. But not with this data You'd like to use AI. But customer data, prices and contracts don't belong in a US tool.

Services

Four building blocks for your AI automation.

01AI checkYou'll know where AI pays off and where it doesn't.30 minutes, free. We look at your workflows and give you an honest assessment.

02Process automationWorkflows that run without you.Receipts, invoices, reconciliations, forwarding: automated with n8n and AI.First workflow automation from €499 net

03AI agents & toolsAI your team actually uses.We set up AI agents and tools that fit your workflows, with an approval step if you want one.

04Connecting your systemsAI that talks to your software.We connect AI to your accounting, CRM, ERP and inbox via APIs and MCP.

See all prices →

Examples

AI process automation: typical workflows.

Customer inquiries
Before
Reading, forwarding and answering every email one by one.
After
Inquiries are sorted, come with a suggested reply and are filed in your CRM.
Company knowledge
Before
Knowledge is buried in folders, emails and people's heads.
After
Your team asks an AI assistant that knows your documents and runs on your own servers.
Incoming invoices
Before
Pulling them out of emails, typing them up, matching them.
After
The invoice is recognized, matched and entered into your accounting. You just review it.
Payment reconciliation
Before
Putting the bank statement next to the invoice list and ticking things off.
After
Payments are matched to open invoices automatically, and reserves land in the right account on their own.

A closer look

More than automation in the background.

AAI agents & tools

AI your team works with directly.

We also set up AI your team works with directly: your own AI chat that knows your company knowledge, or agents that research, monitor the market or check regulations. Where needed, a person approves the result.

Company chat in use

company chatmodel · your server

Purchasing

What's the notice period in the framework agreement with our packaging supplier?

Assistant

Three months to the end of the quarter, set out in section 9.2.

✓search_documentscontracts / suppliers
✓check_permissionsrole · purchasing

✓ Answer with source. No data left your company.

BConnecting via API & MCP

AI only helps if it talks to your software.

We build the connections, even for systems without a ready-made interface. One example is our own MCP server for the project management software Moco.

GitHub ↗

Connected via MCP

~/moco — mcp

# Moco as a tool for the AI assistant
$ mcp add moco \
    --transport http https://mcp.your-company.com \
    --header "Authorization: Bearer ••••"

✓ connected · permissions: read, log time

search_projectslog_timebudget_status+ more once approved

Tools

What we build agents and automations with.

Self-hosted, on your server or ours.

1 tool

Automation

n8nWorkflows that connect your software

2 tools

AI agents

1 tool

Local models

OllamaLanguage models running directly on your server

Case · Hundehalterschule Hamburg

Over 60% less bookkeeping. Live in 2 weeks.

60 %+less effort

2 weeksto go live

2workflows

Bookkeeping

Two workflows handle it. In the first, an AI agent reads incoming invoices and matches them in Lexware. The second moves the VAT and a 15% reserve to sub-accounts at Qonto on every incoming payment. If a receipt is unclear, n8n asks by email. It only continues once a person approves.

Read the full case →

two agents · right in the chatown server

●Legal agentfollows laws and rules for dog schools
●Everyday assistantinbox, bookkeeping, the school's programs

✓ Agents and AI model run on the school’s own mini PC.

Process

How to get your first automation.

01
AI check
30 minutes, free. You get an honest assessment of whether automation pays off for you.
Free
02
Analysis & concept
We take a close look at the workflow: which systems, which data, where does a person need to approve? You get effort and benefit in black and white.
In writing
03
Implementation
We build the automation, test it together with your team and take it live step by step.
Step by step
04
Operations
We monitor, update and extend it, so it still runs a year from now.
Keeps running

Sovereignty

Your data, your call.

You decide where your automation runs. We set it up exactly that way.

On your own servers

Everything stays in-house, including the AI model. This is the right choice for particularly sensitive data.

In a data center of your choice

In Germany or France, for example. We run it for you.

With well-known AI providers

If you prefer, we also connect large AI models.

We work this way ourselves: our CRM, our support chat and our AI run on our own infrastructure.

FAQ

FAQ on AI automation.

9 questions · honestly answered

Your question isn’t here?

Ask us directly: in the chat at the bottom right or in a free intro call.

Ask a question →

Which workflows are suitable for AI automation?

Anything that happens regularly, follows similar patterns and involves digital data: invoices, inquiries, reconciliations, research. Whether it pays off for you, we'll find out in the free AI check.

What is an AI agent?

An AI agent completes a task independently over several steps, such as matching invoices or checking regulations. Unlike a chatbot, it works with your software and data.

How is this different from ChatGPT?

ChatGPT is a general-purpose assistant. We set up AI that knows your workflows, data and software, and runs wherever you decide.

What happens if the AI makes a mistake?

Each automation can only access the data it needs for its task. Where money or important decisions are involved, the AI makes a suggestion and someone on your team approves it. Every step is logged and can be traced.

Do we need our own IT department for AI automation?

No. We set everything up and take care of day-to-day operation. If you have an IT team, we work closely with them.

Which software does it work with?

Most tools that have an interface, such as Lexware, Qonto, common CRM and ERP systems, and your inbox.

Is AI automation GDPR-compliant?

It can be run in a GDPR-compliant way, because you decide where your data lives, completely on your own servers if you like. Assessing your specific processing remains with you and your data protection officer.

What is n8n?

n8n is an automation platform from Germany that can run on your own servers. That keeps your workflows under your control.

What is MCP?

MCP is an open standard that lets AI assistants access your software, such as your CRM or project planning tool. We build our own connections for it.

Let’s connect

Which process annoys you the most?

Tell us about it. In 30 minutes, you'll know whether automation pays off for you.

Get your process checked →

30 min · free · an honest take on whether it's worth it

Or email ushello@levisteria.com

levisteria — first call

$ process --check

✓ Duration: 30 minutes
✓ Cost: none
✓ Outcome: an honest take on whether it's worth it

# You talk directly to the founders.
→ hello@levisteria.com