Agents are only useful when they can safely reach real systems and real data. In regulated organisations that data cannot go to a cloud agent platform, and internal teams rarely have the time to hand-build tools, guardrails and approval steps for every workflow.
AI Advocacy delivers working, governed agent flows on your premises, built with the people who will use them.
A Sovrenix team works on-site with your business owners, IT and risk teams. We pick the workflows, build the flows on your infrastructure, and stay until your team can run them.
Workshops with process owners to find the flows with the clearest value, the data they need and the risks involved.
The Semantic Profiler reads the schemas and documents of each source system, on your network, and maps them to your domain.
The Domain Inference Engine derives the MCP tools. Our engineers compose them into agent flows with your approval steps.
Flows run on masked or synthetic data with people approving each step, and are measured against agreed acceptance criteria.
Production release under Cesios governance, runbooks and training for your team, and ongoing support as new flows are added.
In most agent projects, engineers write every tool by hand, and the tools drift as systems change. In Sovrenix, MCP tool definitions are outputs of the Domain Inference Engine, derived from your schema and a declaration of your domain. Change the schema and the tools are regenerated, reviewed and versioned.
Models run on your GPUs through Axon. Sovrenix and every agent flow sit on top, with no dependency on a cloud service.
Generated tools are read-only unless a write scope is approved, and each flow sees only the tools it needs.
Policies redact, block or flag in real time, and every agent session and tool call is recorded for audit.
AI Advocacy engagements are delivered by Sovina with the Sovrenix engineering team, on-site, wherever our customers operate.
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