Since spring 2026, a revolution has been transforming organisations: agent-based enterprises are no longer content simply to use AI to analyse data; they are turning it into an operational workforce. Discover how intelligent agents are redefining business processes, with real-world examples and case studies.
It is no longer AI that responds. It is AI that acts.
Google has led the way with its Gemini Enterprise Agent Platform, capable of orchestrating thousands of agents equipped with a digital identity, granular permissions and comprehensive governance. Microsoft and AWS are following suit with similar architectures.
In just a few months, AI has evolved from a tool to an operational layer of the information system.
This change is profoundly transforming organisations.
Companies must now envision an IT system where autonomous agents:
- perform complex tasks,
- interact with business systems,
- make guided decisions,
- learn internal processes,
- and collaborate with one another.
The range of use cases is growing:
- support agents capable of resolving the majority of tickets,
- finance agents who prepare analyses, checks and reconciliations,
- logistics agents who optimise workflows in real time,
- HR agents who automate administrative processes,
- business agents specialising in compliance, quality or maintenance.
But this transformation can only succeed with a robust architecture: governance, security, identity, auditability, IT integration and data quality.
This is where Berexia steps in as an industrialisation partner.
Berexia supports organisations in:
- defining use cases that truly create value,
- designing IT architectures compatible with agents,
- establishing robust governance (identity, permissions, audit),
- integrating agents into existing workflows,
- structuring data to ensure reliability and performance,
- deploying operational and secure business agents.
To successfully transition to an agent-based organisation, it is essential to choose the right tools and train your teams. There are numerous benefits: time savings, cost reductions and improved operational accuracy.
