AI Agents
Intelligent systems capable of making decisions and executing real actions within your company's systems, not just conversing or answering questions.
What is an autonomous AI agent?
An autonomous AI agent is an intelligent system capable of making decisions and executing real actions within your company's systems, not just conversing or answering questions.
Unlike traditional chatbots, autonomous AI agents work for you, executing tasks in the background and freeing your team from repetitive activities, always under controlled permissions and full traceability.
What can our agents do?
Create records
They insert data into databases, CRM and ERP autonomously
Send communications
Emails, notifications and automatic alerts based on business rules
Generate documents
Reports, quotes and personalized documentation instantly
Operate software
They interact with any enterprise application via API
How does it work?
Process analysis
We identify which repetitive tasks consume your team's time and can be automated.
Connect to your systems
We integrate the agent with your CRM, ERP, databases and existing tools via API.
Training & rules
We configure business rules and permissions so the agent acts according to your criteria.
Deployment & monitoring
We launch the agent in production with dashboards to track its activity and results.
Benefits for your company
Time savings
Automate repetitive tasks that consume hours of your team's time every week
No human errors
Consistent execution 24/7 with no failures from fatigue or oversight
Scalability
Process thousands of operations without increasing headcount
Use cases
SEO Agent + Order management
Online pharmacyAI agent for an online pharmacy with a catalog of over 80,000 products. Automatic product listing optimization for SEO, order management with multi-carrier tracking and automatic responses to shipping incidents.
Educational company
Lead capture agentConversational agent for an educational platform that qualifies leads through chat, collects relevant information and automatically registers them in an external CRM with tagging by interest and qualification level.
Common use cases
- Customer support: Agents that resolve incidents, create tickets and escalate automatically
- Sales: Lead qualification, CRM updates and automated follow-up
- Operations: Order processing, invoicing and inventory management
- HR: Employee onboarding, vacation management and query responses
AI agent vs. traditional chatbot
A chatbot that answers questions is not the same as an agent that gets work done. This is the difference in practice:
| Capability | Traditional chatbot | AI agent |
|---|---|---|
| Converse and answer questions | Yes, with predefined scripts | Yes, with real business context |
| Execute actions (create records, send emails) | No | Yes, in your CRM, ERP and email |
| Make data-driven decisions | No, follows a fixed flow | Yes, evaluates context and history |
| Integration with your systems | Limited or none | Native: ERP, CRM, e-commerce |
| Traceability and control | Basic logs | Every action logged, controlled permissions |
Frequently asked questions about AI agents
How much does it cost to implement an AI agent?
It depends on the scope: an agent that automates a specific process (customer support, lead qualification, orders) is a well-defined project, not endless consulting. We run a free assessment and give you a fixed quote before starting.
How long does it take to go live?
We start with a focused use case that proves value in weeks, not months. The initial assessment defines scope and timeline before writing a single line of code.
Is an AI agent GDPR compliant?
Yes, if designed correctly: data minimization, full traceability of every action and controlled permissions. We design agents with GDPR as a day-one requirement, not an afterthought.
Do I need to change my ERP or CRM to use an agent?
No. Agents integrate with your current systems (ERP, CRM, e-commerce, email) through their APIs. Your team keeps working with the same tools as always.
What happens if the agent makes a mistake?
Every action is logged and permissions are controlled: you define what it can do autonomously and what requires human approval. We don't work with black boxes.
Resources on AI agents
Practical guides from our blog to dig deeper before taking the step: