Implementation
AI agents for real workflows
An AI agent is not a chatbot tucked away in a corner, but a digital employee that takes over a specific process — from the inbox to the finished draft. It works in your systems, follows your rules and submits every decision to a human for approval. Relief, not replacement.
Sound familiar?
Six places where time slips away every day
Inbox overflowing?
The shared support and info inbox fills up faster than the team can clear it — and the important request gets lost between newsletters and invoices.
Quotes left sitting?
Sending out a quote takes half an hour, the follow-up gets forgotten in day-to-day business — and a warm lead quietly turns into a lost order.
Documents checked by hand?
Invoices, delivery notes and forms are opened, read and typed in field by field — monotonous work, which is exactly why mistakes happen.
Reports rebuilt every month?
Scraping together figures from five sources, dumping them into a template, fixing the layout — the same tedious work every month, and still the doubt remains at the end.
Requests handled twice?
Two colleagues reply to the same customer, a third request goes unanswered because everyone thought someone else was handling it — and nobody sees the overall status.
Nobody knows who does what?
Who has already replied, who has followed up, what is still open? The truth lives in individual heads and inboxes — not in one place everyone can see.
What an AI agent can do
Everything a person does at a computer
An AI agent works at the computer just like an employee: it opens programs, reads what is on the screen, clicks and types. Where your software has an interface, it uses it – where it doesn't, it operates it through the user interface, just as your team does today.
Operating software
It opens your software, clicks through menus and screens and types in entries – even where there is no interface.
Working in the browser
It logs into portals, looks up information, fills in web forms and downloads documents.
Email and appointments
It reads the inbox, sorts by urgency, drafts replies and enters appointments in the calendar.
Understanding documents
It reads PDFs, invoices, delivery notes and spreadsheets, extracts the key details and checks them against your rules.
Transferring data
It transfers information from one system to the next – from the email into the CRM, from the invoice into the right folder.
Preparing reports
It collects figures from several sources, builds a report from them and has it ready at a set time.
You stay in control: the agent only works with the access you give it and submits decisions to a human for approval.
There isn't too much work — it's just done by hand in the wrong places.
Why motivated teams still drown in small tasks
The solution
An agent sits between the trigger and your systems
An AI agent is tailored to exactly one process. A trigger starts it — an incoming email, a completed form, a new appointment. The agent reads the case, accesses your existing systems (Outlook, Teams, the CRM, file storage), prepares a result and submits it to the responsible person for approval. Nothing goes out without a check. That way responsibility stays where it belongs, and the tedious work disappears.
We don't promise miracles or made-up percentages. An agent does exactly what you allow it to do — traceable, logged and switchable off at any time.
The process
From the current state to a working agent
Select a process
We target a specific, recurring process — often one already identified as a candidate in the AI Audit. Start small, show visible results.
Define rules & access
What may the agent do, and what not? We define approval points, access rights and limits — together with the people who handle the process today.
Build & test
The agent is built and tested on real cases — at first only as a suggestion that a human reviews, so you can build trust before anything runs automatically.
Go live
Once it runs reliably, it moves into everyday use — with logging, clear responsibility and the option to pause or adjust it at any time.
Before / After
What changes in everyday work
Today
- The inbox is sorted and answered by hand.
- Quotes and follow-up emails depend on individual people.
- Receipts are read and typed in field by field.
- Reports are rebuilt every month through laborious manual work.
- Nobody can see at a glance what is open and what is done.
With AI agents
- Incoming emails are pre-sorted, drafts are ready.
- Quotes and follow-ups run reliably, regardless of holidays.
- Receipts are read automatically; a person only confirms.
- The monthly report is ready for approval at the push of a button.
- A shared status shows what is in progress, open and done.
In concrete terms
Agents we typically build
Support inbox agent
Sorts, assigns and prepares replies — a human approves
Sales assistant
Creates quotes and reminds you to follow up at the right time
Mail triage
Recognizes urgency and topic, routes to the right place
Document analysis
Extracts data from invoices and forms instead of typing them in
RAG knowledge base
Answers questions from your own documents — with sources
Reporting agent
Collects figures and submits the finished report for approval
The relief
What you get out of it
An agent doesn't take work away from your team, but the work nobody likes doing: sorting, typing and chasing. The time freed up goes where people are really needed — into conversations with customers, into decisions and into the things no system can take over.
- Recurring tedious work runs in the background — your team handles the cases that need a human mind.
- Fewer careless mistakes, because monotonous steps no longer depend on fatigue.
- Nothing gets left undone — not even during holidays or sick leave.
- Every step is logged and requires approval — you stay in control.
Scope
The scope grows with your needs
One process
A single, clearly defined process becomes an agent — ideal as a first step.
- One trigger, one result
- Connection to one system
- Human approval built in
One area
Several related processes in one area — such as sales or support.
- Several agents, one area
- Several systems connected
- Shared status for the team
Multiple areas
Agents across departmental boundaries that hand tasks over to each other.
- Cross-department processes
- Handovers between agents
- Foundation for the AI operating system
Price depends on effort — the scope is defined together after the AI Audit.
Frequently asked questions
In brief
Does an AI agent replace employees?
No. An agent takes over a clearly defined, recurring process — sorting, preparing, following up. Decisions and approvals stay with people. The goal is to free your team from monotonous work, leaving time for what really takes judgement and a personal touch.
Do I have to replace my systems?
No. An agent connects to what you already use — Outlook, Teams, your CRM, your file storage. We don't build a new software world, but a bridge between the trigger and your existing tools. Changes to day-to-day work are kept to a minimum.
How do I make sure nothing wrong goes out?
Every agent has defined limits and approval points. At first it only makes suggestions and a person checks them. Only once you have built trust does a step run on its own — and even then it is logged and can be switched off at any time. You stay in control at every stage of expansion.
Where is our data stored?
In the EU, on our own infrastructure. We deliberately use no third-party CDNs, and your data stays within your company. What an agent sees and does depends on the access you grant it — nothing more. Data protection has a seat at the table from day one.
Where is the best place to start?
With the AI Audit or a single process that obviously eats up time. Start small, show visible results, then expand — that is the safest route. One agent becomes a department, several departments later become an AI operating system. Nothing has to happen all at once.
Next step
Let's tackle your first process.
A short conversation is enough to see which process pays off most as your first agent.