The AI handles repetitive work, analyzes, prospects, responds.
You free up time, energy and vision. Measurable results.
A chatbot answers predefined questions following fixed scripts. An AI agent is an autonomous system that perceives context, plans actions, uses external tools (databases, APIs, email, CRM) and completes complex goals without continuous human intervention. It can search for information, qualify a lead, update a management system and send a communication — all in a single flow.
The most suitable processes are repetitive ones, based on structured data with definable rules: prospecting and lead qualification, FAQ management and first-level customer support, research and synthesis of company documents, automated monitoring and reporting. In general: everything that requires time but not strategic judgment is a candidate for automation.
Yes. AI Evolution agents connect to CRMs, ERPs, Google/Excel sheets, email inboxes, company databases and any system with an API. Integration is part of the initial project: we don't replace existing infrastructure, we connect on top of it.
The first agent in production typically takes 3-4 weeks from the initial brief: one week of process analysis, one of development and configuration, one of testing in a real environment. The pilot starts with defined KPIs and real data. If results are positive, we scale; otherwise we stop without additional costs.
Yes. Agents are designed to evolve: they update with new business rules, adapt to new workflows and refine based on operational feedback. Maintenance is continuous and included in the service.
No, by default. AI Evolution agents run on on-premise infrastructure or a private cloud dedicated to the client. Company data is not used to train public models and does not leave the perimeters agreed contractually.
The infrastructure is hardened according to best practices: SSH key access, multi-factor authentication, network segmentation, automatic security updates and continuous monitoring. Every deployment includes an initial security assessment and complete architecture documentation.
Yes, it's a design priority. Every agent action is logged and traceable: what it read, what reasoning it applied, what action it executed. Logs are accessible to the client in real time. We don't sell black boxes: operational transparency is part of the service.
The agent operates with dedicated credentials at minimum privileges: it only accesses what is needed for its specific task. Credentials are encrypted, rotated periodically and never exposed in plain text. Access is revoked immediately when required.
Every agent operates within defined perimeters: it has no access to systems or data outside its scope. In case of anomalous output, the system generates an alert and escalates to human supervision before proceeding. Complete logs allow identifying the cause, correcting behaviour and updating operational rules quickly.
GDPR compliance is built into the project from the start: legal basis for processing, data minimisation, data subject rights, limited retention. Before any deployment involving personal data, a Data Processing Agreement (DPA) is drafted and, if necessary, a DPIA. We always recommend a review with your DPO.
AI Evolution agents generally fall into the limited or minimal risk category under the EU AI Act. For high-risk systems (e.g. HR, credit, safety) we apply the required measures: technical documentation, mandatory human oversight, automated decision logging. We monitor regulatory developments and update deployments accordingly.
Yes, under GDPR and the AI Act transparency is required: anyone interacting with an automated system must be informed. For customer care AI, this means a clear disclosure in the interface. For internal processes involving employee data, privacy notices must be updated. We support you in drafting all required documentation.
Operational responsibility remains with the client: the agent acts on behalf of the company, not autonomously. AI Evolution is responsible for the technical correctness of the system and compliance with agreed specifications. The service contract clearly defines perimeters, operational limits and escalation procedures to human supervision.
Yes. Service contracts define operational SLAs, response times for anomalies, escalation procedures and exit conditions. In case of interruption, your data remains accessible and the system can be transferred or restored on alternative infrastructure. Your data is always exportable and portable.
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