# AI Agent Development

> Create AI agents that retrieve, classify, communicate or act across approved systems with explicit tools, permissions and escalation paths.

Useful agents are defined by their boundaries, evidence and recovery behaviour—not by how autonomous they sound.

## Designed outcomes

- Faster access to operational knowledge
- Consistent handling of defined requests
- Controlled actions across connected systems

## Capabilities

- Knowledge and support agents
- Voice and messaging agents
- Tool and API orchestration
- Retrieval-augmented generation
- Evaluation and guardrails
- Human handover design

## Delivery path

1. Define the agent's job
2. Limit tools and permissions
3. Ground responses in approved sources
4. Evaluate normal and adversarial cases
5. Monitor and improve

## Frequently asked questions

### What is the difference between an AI agent and a chatbot?

A chatbot primarily responds in conversation. An agent may also retrieve data, use approved tools and complete bounded actions as part of a wider workflow.

### How do you reduce incorrect AI responses?

Use constrained tasks, approved knowledge sources, structured outputs, confidence checks, evaluation sets and human escalation where the consequence of error is meaningful.

## Next step

[Discuss this service with Hassan Suhail](https://hassansuhail.com/contact/index.md).