Ai agents

Have AI agents built for your organization

AI agents are autonomous AI systems that perform tasks for customers and employees to gather information and support processes. We develop responsible and reliable AI agents. Each agent runs on a private AI Stack: safe, explainable and ready for the EU AI Act.

potentials

What does an AI agent do?

AI agents can perform actions independently, based on a goal. For example, instead of just answering questions, an AI agent can

  • Analyze documents
  • Collecting information from various sources
  • Prepare reports
  • Supporting processes

This allows an AI agent to function as a digital colleague who supports specific tasks.

Does an AI agent replace a human being?

No, AI agents don't replace people.
They support professionals by:

  • Automating repetitive work
  • Making information available more quickly
  • Accelerate analytics
accelerate digitally

Why do you use AI agents?

Organizations are getting more and more questions, processes and data to process. AI agents take the repetitive work off your hands and ensure that customers, clients and employees are helped more quickly. Smart, scalable and always available, so you have more time for what really matters.

Process support

Perform workflows, such as processing documents or preparing analyses

Document analysis

Analyses of reports, contracts or records for an initial summary

Information gathering

Gather relevant information from multiple sources and compile an overview

Prepare reports

Analyzing data for a first draft of a report or advice

We are Xuntos

We believe that technology is only valuable if it is people-centered, explainable and safe.

example AI agent

Process support for applications

An AI agency that supports from intake to processing, supervising actual transactions with human supervision. Can be deployed for internal process managers, back office employees and managers

What does the AI agent do?

  • Guides employees step by step through complex decision trees
  • Processes incoming requests, files or forms and prepares draft decisions for review
  • Monitors turnaround times and identifies bottlenecks or SLA overruns
  • Generates reports and summaries for management and supervision

Less frustration, more value:

  • Shorter processing times for applications, permits, intakes and assessments, among other things
  • Fewer errors through standardized processing and automatic quality control
  • Employees focus on the exceptions, not the routine

Want to have a customized AI agent built?

Talk to Xuntos and ask about the options for deploying AI agents for your organization. We are free to think along with you about the possibilities.

We are very satisfied with Xuntos' expertise and agility to meet our questions and needs.

Joris de Gooijer
Senior Marketer at GMP+ International
What do you need?

What is the difference between an AI agent and an AI assistant?

AI assistants and AI agents look alike but have a different role. An assistant helps with questions, while an AI agent can also perform actions.

One AI assistant mainly helps with finding information.

  • Answers questions about documents
  • Helps with searching for information
  • Supports employees

In addition, an AI agent can also perform actions.

  • Analyzes documents automatically
  • Collects information from multiple systems
  • Automates process parts
your private AI stack

How do we ensure a verifiable and secure AI agent?

Because AI agents often work with internal information, safety and governance important.

That's why AI agents at Xuntos are being developed with attention to:

  • Privacy and data security
  • Explainability of AI
  • Control over used resources
  • Performance monitoring

Our AI agents run entirely on a private AI Stack, the modular architecture for safe and explainable AI.

Modular and transparent

  • Integrate with existing systems via secure APIs
  • Real-time monitoring, logging and explainability dashboards

People-centered and safe

  • Always designed with human control and interaction
  • GDPR compliant, ISO 27001, EU AI ACT-proof

What is responsible AI?

AI is being used in more and more contexts where decisions affect people, organizations and markets. As an organization, you want the use of AI to be safe, reliable, human and compliant with legal frameworks.

Getting to know

Collaborate on AI applications?

We are happy to think along with you how your organization can accelerate digitally. Whether it's a UX, technical challenge or AI solutions. Send a message to Pascal van Assendelft - Bureau Manager Xuntos

explanation

Frequently asked questions

In advance, some explanation of specialist terms. If you have a question about our services, please contact us for an informal conversation.

What is an AI Agent?

An AI agent is a form of artificial intelligence that can act independently to achieve a certain goal. Unlike a regular AI assistant, which mainly responds to your questions or assignments, an AI agent can make decisions, take actions and learn from results himself. And AI agent gives you a role, he's going to act accordingly.

When do I deploy an AI agent?

An AI agent is suitable when you're dealing with repetitive tasks, recurring questions, or processes that can run faster and more consistently.

Are AI agents safe and reliable?

Yes. Our AI agents are designed and built according to strict privacy, information security and responsible AI requirements. They run on a private AI stack with secure API integrations, real-time monitoring, and comply with standards such as ISO 27001, GDPR/AVG, and the EU AI Act to keep data protected and reliable.

How does an AI agent interact with our systems?

The AI agent runs on your own private AI stack and connects securely to existing systems via APIs to read and process data in real time, perform actions within workflows, and all data remains auditable and traceable at all times.

Can an AI agent also make mistakes?

Yes! Like other AI systems, an AI agent can sometimes give incorrect or incomplete results. That is why it is important that AI agents are developed with a focus on control and monitoring. When deploying AI agents, we ensure, among other things: clear sources and data usage, control mechanisms in processes, monitoring performance, human control where necessary. This way, the use of AI remains explainable and manageable.

What does it cost to develop an AI agent?

The costs of developing an AI agent depend heavily on the complexity, the number of links and the amount of data that is used. In addition, there are ongoing costs for hosting, AI usage (AI model subscription) and maintenance

What systems can an AI agent integrate with?

AI agents can be linked to various systems within an organization, as long as the data is accessible, such as: document management systems, knowledge bases and intranet, databases, CRM or ERP systems or else (ask about the possibilities) Through these links, an AI agent can retrieve, analyze and process information within existing workflows

Can an AI agent make independent decisions?

An AI agent can analyze information and make proposals, but according to our responsible AI guidelines, humans remain ultimately responsible for important decisions. Xuntos supports the responsible use of AI agents by using the private AI stack that meets the preconditions for responsible AI.

responsible innovation

We are always developing safe and accessible to everyone

Digital innovation only works if you can trust it. That's why our solutions are compliant by design from the ground up:

WCAG

Digital accessibility for everyone

ISO 27001

Information security according to international standards

GDPR/AVG

Privacy and Data Minimization

EU AI Act

Transparent and explainable AI