Features
Powerful Capabilities
Ontdek wat dit platform voor uw organisatie kan betekenen.
Email Management
Automatic sorting, prioritization, and responding to emails.
Document Processing
Extraction and processing of information from documents and forms.
Reporting
Automatic generation of reports and dashboards.
Workflow Optimization
Smart routing and task distribution within teams.
Agenda Management
Intelligent scheduling and coordinating of appointments.
Data Entry
Automatic entry and enrichment of business data.
Introduction
What is an AI Agent?
AI agents are intelligent software entities that perform specific tasks autonomously. Unlike traditional automation (such as RPA), AI agents can handle variation, understand context, and learn from interactions. They combine the power of LLMs with access to your business systems.
How it works
How Does an AI Agent Work?
An AI agent continuously goes through a cycle of observing, reasoning, and acting. It monitors inputs (emails, documents, systems), analyzes the situation based on business rules, and then performs the right action — from responding to escalating.
- Observe: monitoring emails, documents, and systems
- Reason: analyzing context and applying business rules
- Act: performing tasks in various systems
- Learn: improving based on feedback and results
Use cases
Typical Applications
AI agents can be deployed in virtually any department. They deliver the most value for repetitive tasks that still require variation and judgment — exactly the type of work where traditional automation fails.
- Email Agent: categorize, route, and answer standard questions
- Document Agent: extraction from PDFs and scans, classification and archiving
- Support Agent: first-line customer service and knowledge base search
- HR Agent: CV screening, onboarding, and answering internal questions
Technology
Technical Implementation
MadeMy implements AI agents with a robust, production-ready architecture. All components run on-premises in your own infrastructure.
- LangChain/LangGraph: for complex reasoning and multi-step workflows
- RAG (Retrieval Augmented Generation): for knowledge-based agents
- Vector databases (Qdrant/Milvus): for efficient information retrieval
- API integrations: seamless connection with your existing systems
