Applied enterprise AI

Knowledge you can trace.
Actions you can control.

IntelliAgentia builds practical systems that help AI agents understand complex environments and act within explicit, reviewable boundaries.

Explore our work How we build
IntelliAgentia system model01 / 02
01

Helix MCP Knowledge

Find grounded evidence
Human judgement
02

Helix MCP Gateway

Act within policy

From reliable context to deliberate action.

Selected systems

Two products. One disciplined way of working.

Built for BMC Helix professionals exploring agentic workflows without giving up provenance, permissions or human oversight.

01Public release ahead

Traceable understanding

Helix MCP
Knowledge

Evidence-grounded access to official BMC Helix documentation and authorised project knowledge, with clear provenance and strict project isolation.

  • Official and project documentation
  • Source-level provenance
  • Isolated knowledge spaces
  • Optional semantic retrieval and OCR
Local-first MCP serverExplore the system
02Open source

Controlled execution

Helix MCP
Gateway

Policy-controlled access to BMC Helix through the AR API, designed around bounded reads, reviewable SQL and human-approved writes.

  • Explicit environment selection
  • Bounded reads and SQL
  • Plan, review and apply workflows
  • Sanitised operational evidence
Independent local gatewayExplore the system

Our approach

Control is part of the architecture.

01

Local by design

Keep execution close to the authorised systems, libraries and knowledge it depends on.

02

Evidence over assertion

Make sources, boundaries and decisions visible enough to inspect and verify.

03

Humans at the checkpoint

Separate sensitive proposals from execution so consequential actions remain deliberate.

IntelliAgentia

About IntelliAgentia

Independent engineering for complex systems.

IntelliAgentia is the product practice of Hugo Volckaert, focused on making agentic AI useful in enterprise environments where permissions, evidence and operational discipline matter.

The work starts from a simple premise: capable agents need better context, but they also need boundaries that hold outside the conversation.

Follow the work on GitHub

Better context.
Clearer boundaries.

See what we are building