Enterprise AI agents that work with people.
An AI agent is a system that, beyond answering, carries out tasks on the company's tools. In VERIAX each agent is configured around the company's context: model, instructions, knowledge and tools.
The problem
Generic assistants don't know the company's documents, tools and rules.
They answer plausibly, but out of context.
To be useful, they have to work within that context.
What it does · Three steps
Agents built around the company's context
Model, instructions, knowledge and tools are chosen for each agent.
Tools and actions
The agent acts on the systems already in use.
Interoperability through MCP
VERIAX uses external AI tools and offers its own to other systems.
Connectors
Slack, Google Workspace, Microsoft 365, GitHub and GitLab, already available.
Reusable procedures (skills)
Ready-made instructions and materials the agent calls up when needed.
In-depth web research
The agent researches a topic on its own.
Charts and reports
The agent produces readable charts, tables and reports.
File workspace
The agent reads, writes and organises files in a dedicated space.
Agents with memory
Short-term and long-term memory.
Ready-to-use agents
Predefined agents, to use right away or adapt.
Voice conversation
Questions and answers by voice too.
Code in an isolated environment
The agent writes and runs code in a protected space.
Documents from company templates
Presentations, Word documents and PDFs built from the company's templates.
Task planning
For long tasks, the agent prepares a list of steps and follows it.
Tasks at set times
A scheduled task is carried out by the agent at the set time.
Teams of agents
A coordinator agent distributes work to specialised agents.
Integration catalogue
Over 180 ready-made tools, plus any system with an API.