AI agents for business that take the retyping off your team.
Your team loses hours retyping emailed orders into the ERP and checking tickets against delivery records. We build custom AI agents that take those whole tasks on, while anything sensitive waits for a person to approve it. After launch we keep them running and report the hours they give back.
New ticket
Tom R., customer since 2021
My order 55120 arrived with one item missing. I need it before Tuesday for a site visit. What can you do?
- 22:14:03Read the ticket. Missing item, deadline Tuesday, urgent.
- 22:14:05Opened order 55120. Packing list shows 3 of 4 items scanned.
- 22:14:06Checked stock. Item in stock, express shipping possible Monday.
- 22:14:08Drafted the reply with an apology and a Monday delivery.
- 22:14:09Prepared a free replacement order and tagged the warehouse error.
Replacement over €50: waiting for approval. Above €50, your rules require a person to sign off.
What do AI agents for business do?
AI agents for business are software that uses a language model to carry a task through from start to finish. An agent reads what comes in, decides the next step, acts in your tools and hands over to a person when it is unsure or the action is sensitive. Unlike a chatbot, it goes on to update the order or file the ticket.
In a company, that covers the work that still needs someone at a keyboard: an order email to enter in the ERP, a support ticket to check against the delivery record, a supplier to chase, a report to fill in from three sources.
Classic automation breaks as soon as an email is phrased differently or a PDF changes layout. An agent reads the way a person does, so a new purchase order template or a customer who forgets the order number does not stop it. When a case calls for judgment, it asks someone on your team.
The tasks your team will stop doing by hand.
We find these six jobs in almost every company. The one that eats the most hours usually makes the best first agent.
Order intake
BeforeSomeone retypes emailed and PDF orders into the ERP, then replies to confirm.
AfterThe agent creates the order, checks stock and prices, and drafts the confirmation for approval.
Customer service triage
BeforeTickets wait in a queue until someone reads, sorts and looks things up.
AfterEach ticket is read, checked against the order and answered or routed, day and night.
Supplier follow-up
BeforeBuyers chase late deliveries and missing documents one email at a time.
AfterThe agent spots what is late, sends the reminder, and updates the record when the answer lands.
Invoice matching
BeforeAccounts payable compares invoices with orders and delivery notes, line by line.
AfterMatches are done automatically; only the gaps reach a person, with the reason.
Sales admin
BeforeReps update the CRM after every call, or not at all.
AfterNotes become CRM updates, follow-up tasks and a draft email, ready to send.
Internal requests
BeforeIT and HR answer the same access, leave and onboarding requests all week.
AfterThe agent answers from your rules, opens the right ticket and does the routine part.
AI agent, RPA bot or chatbot: which one for which job?
People mix these three up all the time. The row that usually settles it is the fourth one: what happens when the format changes.
| Criterion | AI agent | RPA bot | Chatbot |
|---|---|---|---|
| Reads messy input (emails, PDFs, free text) | Yes, like a person would | No, needs fixed formats | Yes, in a conversation |
| Decides the next step | Yes, within your rules | No, follows a script | Rarely |
| Acts in your tools (ERP, CRM, inbox) | Yes, through connections | Yes, by clicking screens | Usually not |
| When the screen or format changes | Adapts | Breaks | Not concerned |
| Asks a human when unsure | Built in | No | Sometimes hands over |
| Best for | Whole tasks with variation | Stable, repetitive clicks | Answering questions |
From the first meeting to the first live case.
Week 1
Pick the task
We sit with the people who do the task, count the cases and pick the one with the clearest gain. You get a one-page scope and a fixed price.
Weeks 2 to 3
Connect and build
The agent gets its own account in your real tools, with only the rights the task needs, and learns your rules: thresholds, exceptions, who approves what.
Weeks 4 to 5
Test on your past cases
We replay a set of your real past cases and measure how often it gets them right before it touches a live one.
Week 6
Go live, then measure
At first a person approves every action. As the results hold up, you decide which actions it may take alone. A dashboard shows the hours given back.
You decide what the agent may do without asking.
Security and dataSensitive actions wait for a person.
You set the limits, such as an amount, a customer or a type of action. Above them, the agent prepares the work and someone on your team approves it.
Every step is logged.
You can see what the agent read, what it decided and why, for every single case.
Its own account, with the fewest rights.
It gets only the permissions its task needs and never a shared login, so you can see and revoke exactly what it touches.
Tested before it goes live.
It is measured on your own past cases first, and the results are shared with you.
You can pause it at any time.
One switch, and the work goes back to your team until you turn it on again.
What an AI agent costs depends on five things.
An agent that reads one inbox and writes to one ERP is a small project. One that works across five systems, with the audit trail a regulated sector demands, is a bigger one. You get the scope and a fixed price in writing at the end of the first week, before any build starts.
Read the AI agent cost guide, with market ranges- 01How many systems the agent has to read from and act in.
- 02How many cases a month it handles, and how varied they are.
- 03How often a case needs human judgment.
- 04Where it runs: cloud in the EU, private cloud or your own servers.
- 05How much approval, audit and reporting your sector requires.
AI agents: the questions buyers ask us
How long does it take to build an AI agent?
A first agent on a well-bounded task usually goes live in four to eight weeks, depending on the number of systems involved. The first week always ends with a written scope and date.
Which AI models do you use?
The right one for the task and for your constraints: models from Mistral, OpenAI, Anthropic or open-source models. When your data must stay in Europe or on your servers, we use models hosted there.
Can an agent work with our old ERP?
Yes. Most of the work is connecting to what you already have. If a system has no connection, we build one, or the agent works through the files and emails the system already produces.
What happens if the agent makes a mistake?
It is designed to recognize doubt and hand over. Sensitive actions wait for approval, every step is logged, and the agent is tested on your past cases before going live.
Do we own the agent?
Yes. The configuration, the prompts, the code written for you and the documentation are yours from delivery. You can keep running the agent with us, or take it in-house with everything your team needs to maintain it.
Do you train our team to manage it?
Yes. Every delivery includes a hand-over to the people who will supervise the agent: what it does alone, how to read its log and when to pause it. Our AI training for teams goes further, and each team leaves it with a first agent of its own.
AI agents, by specialty
Before you decide
- AI integration To plug agents into your CRM and ERP.
- AI agent ROI calculator Estimate the hours an agent would give back.
- AI use cases Where companies put agents to work first.
- What is an AI agent? The guide, in plain words.
- Agentic AI What the term covers, and what it changes for a company.
- How to build an AI agent The steps, from the task to the first live case.
- AI governance Who decides what your agents may do, and how it is checked.
Which task would you never do again?
Describe it in a few lines in the form. Within one business day, we tell you whether an agent can take it on, and we set up your free 30-minute assessment to look at it together.