AI agents: autonomous agentic AI for companies
A business AI agent takes on entire assignments instead of just answering. This guide shows how autonomous AI agents work, how to choose an AI agent for your company, what AI agent pricing looks like, and how to build one without code – with Ukeou, the AI agent platform from Germany.
What is an AI agent?
An AI agent is software that pursues a goal on its own: it plans the steps, uses tools and data, checks its intermediate result and delivers a finished outcome. The difference to an AI assistant or chatbot is scope of action – the assistant answers a question, the agent completes the assignment.
We speak of AI agents in the plural when several such units with different roles work on one assignment: one drafts, one critiques, one revises. The umbrella term is agentic AI – AI that acts instead of only answering.
Autonomous AI agents are not unsupervised: good systems draw a clear line between what an agent may do alone and what needs human approval. That approval principle is what separates a useful AI coworker from a liability.
What types of AI agents are there?
Task agents
Complete one bounded task end to end – research, drafting, data prep – and present a result.
Tool agents
Operate systems: calendar, CRM, files, APIs. They pull information and write results back.
Critique agents
Check other agents' work against rules and goals and force a revision before anything reaches you.
Lead agents
Take the assignment, assign roles and act as your single point of contact – you talk to one, not five.
Routines
Scheduled agents for recurring assignments: weekly report, monitoring, follow-ups – without you starting them.
Circles of agents
Several agents with a shared purpose and their own memory per client or topic, so contexts never blend.
AI agent, chatbot or classic automation?
| Chatbot / AI assistant | Classic automation | AI agent | |
|---|---|---|---|
| Trigger | Your question | Fixed trigger | An assignment in one sentence |
| Planning | None – you lead | Modelled upfront | The agent plans itself |
| Handling the unexpected | Answers within limits | Breaks | Adapts the path |
| Quality control | You review | Rules check | Self-critique plus your approval |
| Output | Text in a chat | An executed step | A finished memo with tasks |
| Effort | Constant supervision | One-off modelling | Describe the purpose, then approve |
AI agents in business: real-world examples
Marketing & content
Topic research, editorial plan, drafts and a critique pass – you get one aligned proposal, not a wall of text.
Sales & proposals
Qualify inquiries, draft proposals, schedule follow-ups – with a dedicated circle per client.
Reporting & analysis
Consolidate numbers, explain deviations, recommend action – automatically, as a weekly routine.
Service back office
Prepare cases, draft replies, flag escalations – nothing is sent before your approval.
Project & knowledge work
Turn notes into tasks with ownership and keep the state in the circle's memory for weeks.
Agencies & studios
One circle per mandate: separate memory, own rules, clean traceability towards the client.
Choosing an AI agent for your company
Most business AI agent projects fail on organisation, not on the model. These are the criteria that decide whether an agent survives the first month of real work.
Scope of the assignment
Can the agent finish a task end to end, or does it hand every second step back to you? Only the first case saves time.
Memory per context
One memory per client, topic or department – otherwise contexts blend and the output turns generic.
Approval before impact
Anything that leaves the company or creates cost passes a human. That single rule keeps agents usable in regulated teams.
Traceability
An event log showing who approved what and when is what turns an experiment into an auditable process.
Data location and contracts
EU processing, a DPA under Art. 28 GDPR and no training on your content – checked before the pilot, not after.
Predictable cost
A fixed allowance of assignments, no silent auto-reload and a spending limit you set yourself.
AI agent pricing: what it costs per month
Prices below are for Ukeou, our AI agent platform, on annual billing – net plus VAT, AI usage included in the assignment allowance.
| Plan | Per month | Assignments | Best for |
|---|---|---|---|
| Founder | €83 | ~40 | Freelancers and solopreneurs |
| Studio | €291 | ~150 | Agencies and studios |
| Organization | €825 | ~500 | Teams of five and up, 5 seats included |
| Enterprise | from €2,500 | On request | SSO and self-hosting, annual contract |
Paid monthly instead of annually: €99, €349 and €990. Credit top-ups are optional, auto-reload is off by default, and you can cancel at the end of any billing period.
Build AI agents without code – in four steps
You need neither programming skills nor a prompt library. Instead of building workflows, you describe responsibility and rules – the rest follows from the assignment.
- 01
Create a circle
Describe in plain language what the area is responsible for – one client, one topic, one department.
- 02
Set the constitution
Write down what always applies, what must never happen and what needs your approval.
- 03
Hand over an assignment
One sentence is enough. The lead agent assigns roles and starts draft, critique and revision.
- 04
Approve and repeat
Review the memo, approve it – and schedule it as a routine when the assignment recurs.
GDPR-compliant AI agents from Germany
Privacy-compliant AI is not a label but a chain of evidence: where is data processed, on what legal basis, who approved it and how is it deleted?
Processing in Germany
Exclusively on servers in Germany, with no third-country transfer to the US.
DPA under Art. 28 GDPR
A data processing agreement covers client data, and sub-processors are disclosed.
No training on your content
Contractually excluded – your inputs never become training data.
Data sovereignty, literally
Primary storage sits locally on your device, the cloud stays optional.
Complete audit trail
The event log shows who approved what, when and on which basis.
Deleted means deleted
Deleting a workspace removes the encrypted database from your device – we keep no copy.
Frequently asked questions about AI agents
What are AI agents?
AI agents are software units that pursue a goal independently: they plan steps, use tools, check intermediate results and deliver an outcome. When several agents with different roles collaborate, it is called agentic AI.
What is the difference between an AI agent and a chatbot?
A chatbot answers while you sit there supplying context. An AI agent takes an assignment, plans the steps itself, critiques its own intermediate result and hands you a finished outcome for approval.
What is agentic AI?
Agentic AI is the umbrella term for AI systems that act instead of only answering: they break a goal into steps, choose tools, evaluate results and iterate until the goal is met.
How do autonomous AI agents stay safe?
Through clear boundaries: a constitution of rules, separate circles with their own memory, a critique pass before output, and human approval for anything that leaves the system or creates cost.
How can I build AI agents without programming?
By describing responsibility and rules in plain language instead of building workflows. In Ukeou you create a circle, define the constitution and hand over the first assignment in one sentence.
What do AI agents cost in a company?
Cost is licence plus AI usage. It becomes predictable with a fixed assignment allowance, optional credits without auto-reload, and a hard spending limit. With Ukeou that starts at €83 a month for freelancers (Founder, billed annually), €291 for agencies (Studio) and €825 for teams of five and up (Organization) – net, AI usage included.
Can AI agents be used in a GDPR-compliant way?
Yes, when processing happens inside the EU, a DPA under Art. 28 GDPR is in place, no training runs on your content, and access and deletion requests are technically possible. Ukeou processes exclusively on servers in Germany.
Do AI agents replace employees?
In practice they take over the recurring part of the work – research, drafting, preparation. Decisions, responsibility and approval stay with people, which is why the approval step is built in.
What is an AI agent platform?
An AI agent platform is the environment agents live in: it manages roles, memory, tool access, approvals and the log of all of it. Without one you have isolated prompts; with one you have a traceable way of working.
Which AI agent platform fits European companies?
One that manages roles, memory, tools and approvals in one place while providing EU processing, a DPA and an audit trail. Ukeou is built for exactly that – made in Germany, with primary storage on your device.
How do I get started with AI agents in my company?
Pick one recurring assignment someone does manually today – a weekly report, a proposal draft, a research task. Create a circle with clear rules, let the agent run it once and compare the result with your own. Only then is it worth handing over more areas.
What should a company look for when choosing an AI agent?
Four things decide it in practice: can the agent complete a whole assignment instead of answering, does it keep a separate memory per client or topic, is there an approval step before anything leaves the system, and is processing and data handling contractually covered in the EU. Everything else is comfort.
How is AI agent pricing structured?
Most platforms price a licence per seat plus AI usage on top, which makes the monthly bill hard to predict. Ukeou instead bundles a fixed allowance of assignments with AI usage included: Founder €83, Studio €291 and Organization €825 per month on annual billing (€99, €349 and €990 monthly), net plus VAT. Extra credits are optional, auto-reload is off by default and a hard spending limit is available.
Put AI agents to work in your company
Ukeou is our AI agent platform: circles with their own memory, lead agents as your point of contact, routines for recurring work and a constitution above it all – GDPR-compliant, made in Germany, from €83 a month.
Explore Ukeou