HomeAI agents
AI agent development AI agents that complete tasks, not just answer.
An AI agent reads requests, fetches data from your systems, carries out the next steps and hands over to your team when it matters. As an agentic AI agency we build such agents for businesses across the EU.
Free, no strings attached. If you like, with a written assessment of your project.
- 01A request comes inEmail, form or ticket
- 02The agent looks it upin your systems, with clear permissions
- 03It takes the next stepdraft, entry or reply
- Handover to your teamwhenever it matters
What an AI agent is, and what it is not.
The term is used for very different things. A simple distinction helps with your decision.
-
A chatbot answers.
It answers questions, usually from a fixed body of knowledge. For many enquiries that is enough. More on our page about AI chatbots.
-
An automation follows fixed rules.
If A happens, B follows. That is reliable as long as the cases look the same. More under process automation with AI.
-
An AI agent chooses the next step.
It understands an open task, picks the right one from the tools we give it, checks the result and carries on until the task is done or a person has to take over.
Not every task needs an agent. Where a fixed rule is enough, we use the rule, because it is cheaper to run and easier to check. We build an agent where cases differ, where information comes together from several sources and where someone with judgement has so far solved every case by hand.
What an agent takes over in daily operation Six tasks an agent can take over today.
Six tasks from different departments, each of which can be set up on its own. The agent prepares and acts within defined limits. Where money, contracts or customers are involved, a person approves.
-
Handling customer enquiries
The agent reads emails and chat messages, looks up the order and the contract in the system, writes the answer with its source and passes special cases to your team with all the information. More under AI customer service.
Typical for retail, manufacturers and service providers with many enquiries
-
Capturing orders from emails and PDFs
Orders and enquiries are read, articles and customers are matched, questions are asked where something is missing and the order is created in your ERP system.
Typical for wholesale, manufacturing and logistics
-
Preparing quotations
An enquiry or tender is read, items are matched to your articles and earlier estimates, and a draft is created in your template. New and unclear items are flagged.
Typical for trades, retail, construction and industrial suppliers
-
Checking documents
Contracts, certificates and supplier documents are checked for deadlines, risks and deviations from your standards. Every statement gives its source.
Typical for purchasing, project management and quality management
-
Answering questions inside the company
A knowledge agent answers questions about standards, manuals, policies and completed projects, with sources, and respects who is allowed to see what.
Typical for engineering, production, planning and HR departments
-
Creating reports
Data is fetched from several systems, analysed and combined into a commented report in your layout.
Typical for mid-sized companies with several sites or divisions
All examples show typical processes, not client projects.
Get in touchWhat makes an agent reliable in daily operation.
A prototype that looks good in a demonstration is quickly built. An agent your team can rely on needs more. This is part of every agent we build.
-
Knowledge with sources
The agent answers from your documents, manuals, contracts and knowledge bases and names the source. If it finds nothing reliable, it says so and hands over instead of guessing.
-
Current data from your systems
Through interfaces (APIs), the agent reads orders, stock levels, contracts or tickets from your ERP, shop, CRM or accounting system, always at the current state.
-
Tools with limits
The agent may only do what we allow it to: read, create drafts, change tickets. Amounts, permissions and exceptions are defined. A person approves sensitive steps.
-
Handover to people, with context
When a person has to take over, they receive a summary, the history so far, the data found and a suggestion. Nobody has to ask again from the beginning.
-
Several channels
Website, email, WhatsApp and internal chat tools, with the same knowledge and the same rules.
-
Tested on real cases first
Before launch we test the agent on real past cases from your company. In operation we keep measuring and see where it needs to improve.
-
Costs under control
Every agent has upper limits per transaction and per month. Simple steps run on small, inexpensive models, demanding ones on larger models. You see what a transaction costs.
How we develop an AI agent
-
Step 1: Your message
You tell us which task an agent should take over. We get in touch with you personally.
What you do: write to us. There is nothing you need to prepare.
-
Step 2: Defining the task and its limits
We look at the process on real cases and define what the agent may decide itself, what it only prepares and when it hands over. After that you receive a written proposal.
What you do: show cases and set limits.
-
Step 3: Prototype and test set
We build the agent and let it run against a selection of your past cases. We compare the results with the work of your specialists.
What you do: judge the results.
-
Step 4: Trial run alongside your team
At first the agent runs alongside your current work and makes suggestions. Your team decides, and every correction feeds into the improvement.
What you do: review and correct.
-
Step 5: Operation and further development
Only when the results are right does the agent take over its tasks, step by step. We keep measuring, adjust, and add the next task if you wish.
What you do: give feedback.
Security and control.
- Stored in the EU. Wherever possible, agents, data and models run on servers in the EU. Our servers run at AWS in Frankfurt. Where that is not possible, we tell you beforehand.
- Only the rights it needs. An agent gets access only to what it needs for its task, and can do no more than the role we give it allows.
- Traceable. Every step is logged. You see what the agent did, with what and why, and you can check any case afterwards.
Frequently asked questions about AI agents
What is an AI agent?
An AI agent is a program that uses a language model to understand a task, uses tools (such as access to your ERP system or your mailbox), checks intermediate results and keeps working until the task is done or a person has to take over. It works within rules and limits that you define.
What is the difference between an AI agent and a chatbot?
A chatbot holds a conversation and answers. An agent can also act: look up data in your systems, create an order, update a ticket or produce a report. A chatbot is therefore often the part of an agent that your customers see.
What is the difference between AI automation and an AI agent?
AI automation is the umbrella term: a process that a system carries out using AI, such as checking invoices or creating reports. An AI agent is one form of it, which plans open tasks itself, uses tools and hands over to a person when needed. Where a fixed process is enough, we build the fixed process.
Which tasks suit an AI agent?
Tasks that occur regularly, need information from several sources and have so far been solved by hand by specialists: answering enquiries, capturing orders, preparing quotations, checking documents, creating reports. For tasks that are rare or look completely different every time, the effort is usually not worth it, and we advise against it.
How do you prevent the agent from making mistakes or inventing things?
With several layers of protection. The agent answers only from your sources and names them. It may only use tools that we release, within fixed limits. Before launch we test it on your past cases, and afterwards it runs in shadow mode, where your team sees every result. Uncertain cases go to a person. Nobody can guarantee an error-free agent, which is why control is part of operation.
Can the agent change anything in our systems?
Only if you want it to, and only within the limits we set together. We usually begin with read access and drafts. Write steps such as creating an order are added once they have proved themselves. Sensitive steps stay with a person.
Which AI models do you use?
We choose the model according to the task, data protection and cost, and do not tie ourselves to one provider. The agent is built so that the model can be swapped when better or cheaper ones appear. Where the task allows, we use models hosted in the EU.
Where is our data stored?
Wherever possible on servers in the EU. Our servers run at AWS in Frankfurt. You receive a data processing agreement, and we tell you beforehand which service sees which data. More on the page AI and data protection.
What does an AI agent cost?
That depends on the task, the connected systems and the number of transactions. A price list would therefore tell you little. Before we begin, you receive a written proposal with a clearly described scope. Without your approval, no costs arise. We limit the running costs of model usage with upper limits per transaction.
What should we look for when choosing an AI agent development company?
Ask how quality is measured (test cases from your own work rather than a demonstration), what the agent may and may not do, where the data is stored, how people can intervene and who looks after the agent after launch. We answer these questions before the proposal.
Do we need our own AI specialists?
No. We explain everything in plain language, coordinate the integration with your IT and show your team how to work with the agent.
Does the AI Act apply?
Yes, it applies to the use of AI in companies. An agent that talks to customers must identify itself as AI, and your team needs AI literacy. Our pages on the AI Act and on transparency obligations give an overview. This is general information, not legal advice.
Which task should an agent take over in your company?
Send us a few sentences. We will reply personally, free of charge and without obligation.