AET Group
A compliance platform that reduces KYC/KYB and Anti-Money Laundering verification from hours to seconds. Built with a focus on speed and privacy, making instant compliance accessible without compromising user safety.
Visit AET Group ↗AI Agent Development: Custom Agents That Work Inside Your Tools
A chatbot answers questions. An agent gets work done: it reads your data, calls your systems, and asks a person when a decision is above its pay grade.
Agents are built on Claude with the Agent SDK and the Model Context Protocol (MCP), with clear limits on what each agent can touch. The AI agent developer who builds yours stays on after launch.
- Works with your existing tools
- First agent in as little as 2 weeks
- One senior developer, no agency
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// Services
What you get
Agent design
What the agent decides alone, what needs approval, and what it never touches.
Tool connections
Custom MCP servers and API integrations into the systems you already use.
Guardrails
Validated outputs, retries on failure, and limits on what the agent can change.
Monitoring and handover
A log of every step, plus documentation so your team can run it.
A first working agent in as little as 2 weeks
Built on real examples from your business, with the guardrails in place from day one.
// Work
Built and running in production
// From a client
“Pavol was one of the first developers we brought on and has been instrumental in building our compliance platform. He took ownership of major parts of the system across frontend and backend, with a strong focus on clean, scalable architecture that the rest of the team could build on. Beyond his own dev work, he mentored our junior developers and raised the overall quality of the codebase. I would not hesitate to recommend him to anyone looking for a reliable, senior-level developer.”
Patrick Damien O'BrianFounder, AET Group// FAQ
Common questions
Why hire an AI agent developer instead of an AI agent development company?
A development company often sells a platform or a team you never meet. Here one senior developer designs, builds and maintains your agent, so you always talk to the person who knows how it works.
What tasks are AI agents good at?
Tasks with a clear goal that need judgement along the way: triaging emails and calls, booking appointments, researching and summarising, and updating several systems in one go. Decisions with no clear right answer are better left to people.
How much does AI agent development cost?
It depends on how many systems the agent connects to and how much it may do on its own. Most projects start with a first working agent, so you see it handle real cases before committing to the full build.
What is the difference between an AI agent and a chatbot?
A chatbot replies to messages. An agent works toward a goal: it looks things up, calls your systems, makes decisions within the limits you set, and finishes the task.
Can an agent make mistakes?
Yes, so agents are built with guardrails: outputs are validated, risky actions need approval, and every step is logged so you can check exactly what happened.
Which systems can an agent connect to?
Anything with an API, and internal tools through custom MCP servers: CRMs, databases, email, calendars and ticketing systems, for example.
Are agents built only with Claude?
Claude is the main model, used through the Claude API and the Claude Agent SDK. Snippets is a member of the Claude Partner Network.
How long does it take to build an agent?
A first working version can be ready in as little as 2 weeks. Agents that touch many systems take longer, and the full plan is agreed after the first version.
// Get in Touch
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