Documentation AI Agents

Every AI Agent consists of a sequence of steps that starts from the analysis of business processes and ends with continuous learning and adaptation.

Operation Steps:

The Agents use natural language processing (NLP) and context awareness techniques to understand intentions, questions, and communication context.

The AI Agents can connect with a multitude of tools and platforms, enabling fully automated workflows.

Indicative Integrations:

API Call Example:

POST /agent/integrations
{
"type": "email",
"account": "info@company.com"
}
                    

Data security is at the core of every project. All Agents operate in full compliance with GDPR and industry encryption standards.

Basic Principles:

• - End-to-end encryption (TLS 1.3)
• - Token-based authentication for APIs
• - No storage of sensitive data outside the client environment
• - Periodic security audits and compliance reports

The Agents are developed in a modular architecture, allowing easy transfer to a proprietary server environment.

Each Agent is accompanied by performance monitoring mechanisms. Through a special dashboard (or reports) you can see:

• - Volume and type of interactions
• - Success rate of responses
• - Frequency of questions / tasks
• - Areas for improvement for retraining

The Agents have a feedback loop – they learn from interactions and continuously improve their quality.