The Simple Explanation
An AI agent is an AI system that independently pursues goals. It perceives information, plans actions, executes them and learns from the results – all without human control at every step. Think of a digital employee who never sleeps, never takes a holiday and never makes mistakes through inattention.
Classic Chatbot
- Answers questions based on rules
- No memory between conversations
- Cannot perform external actions
- Static responses from a knowledge base
AI Agent
- Plans and executes multi-step tasks
- Contextual memory and learning capability
- Accesses APIs, databases and tools
- Makes autonomous decisions
Anatomy of an AI Agent
Language Model (LLM)
The 'brain' of the agent. Processes language, understands context and generates plans.
Tool Usage
The agent can use external tools: call APIs, read files, query databases.
Memory & Context
Short-term and long-term memory enable context-aware action across multiple sessions.
Goal Orientation
The agent pursues a defined goal and independently plans the necessary steps.
Guardrails
Security layers prevent unwanted behaviour and ensure GDPR compliance.
Multi-Agent Coordination
Agents can communicate with each other and delegate tasks – for complex workflows.
Typical Use Cases
Document Analysis
Automatically process invoices, contracts and reports and extract information.
Customer Service Agent
Resolve complex enquiries independently, update CRM and manage escalations.
Process Automation
Handle multi-step business processes fully automatically – without manual intervention.
Knowledge Research
Research, summarise and prepare information from internal systems.
Frequently Asked Questions
Do I need technical expertise to use AI agents?
No. Wito AI handles the entire implementation – from use case analysis through architecture to production operation. Your team will be trained without needing to write any code.
What does an AI agent cost?
A simple AI agent (e.g., a knowledge assistant for internal documentation) starts at approximately EUR 2,500 and can be deployed within 2–4 weeks. More complex multi-agent systems with multiple data sources and workflows typically range from EUR 8,000–25,000 with an implementation timeline of 6–12 weeks. Ongoing operating costs for hosting and LLM API usage amount to EUR 50–300 per month depending on volume. All implementations are eligible for BAFA funding — reducing your investment by up to 50%. Start with our free AI maturity check to determine the right scope and receive a concrete quote for your company.
Are AI agents suitable for small businesses?
Yes. SMEs in particular have enormous potential through automation. We have successfully deployed solutions for companies with as few as 10 employees.
How secure are AI agents?
With the right framework (e.g. NVIDIA NemoClaw), AI agents can be fully GDPR-compliant, locally operated and fully auditable.
Next Steps
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