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Digitalization
IT Upgrade
The biggest misconception about AI agents?
Martin Srb
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👉 That you can just tell a model: “You are an HR manager” and it will work.
The reality is simpler — and harder: building AI agents is software engineering.
Think of an LLM as a digital employee. To be effective, it needs the same two things as any new hire:
🔧 Proper tools – secure access to the right systems and workflows
📋 Clear guidelines – rules, processes, and training for how to act
⚠️ Without these, an AI agent is as ineffective as a human employee with no system access or onboarding — no matter how smart the model is.
And just like with people, the work doesn’t stop at setup. You also need:
✅ Testing and monitoring to ensure accuracy
✅ Fault-tolerant processes to handle errors
✅ A human “second eye” layer to guarantee trust and compliance
We’ve seen this pattern before:
💻 When UIs opened access to databases
📱 When mobile apps reshaped interaction
🔗 When APIs became products
The difference today? The “client” is no longer human or an external system — it’s the LLM itself. And like any employee, it needs structure, supervision, and the right environment to succeed.
The reality is simpler — and harder: building AI agents is software engineering.
Think of an LLM as a digital employee. To be effective, it needs the same two things as any new hire:
🔧 Proper tools – secure access to the right systems and workflows
📋 Clear guidelines – rules, processes, and training for how to act
⚠️ Without these, an AI agent is as ineffective as a human employee with no system access or onboarding — no matter how smart the model is.
And just like with people, the work doesn’t stop at setup. You also need:
✅ Testing and monitoring to ensure accuracy
✅ Fault-tolerant processes to handle errors
✅ A human “second eye” layer to guarantee trust and compliance
We’ve seen this pattern before:
💻 When UIs opened access to databases
📱 When mobile apps reshaped interaction
🔗 When APIs became products
The difference today? The “client” is no longer human or an external system — it’s the LLM itself. And like any employee, it needs structure, supervision, and the right environment to succeed.
