Role-aware experience
Tailor knowledge, tools and actions to identity and organisational role.
Solution / 04
Secure AI assistants
Role-aware internal assistants that use approved organisational knowledge and operate within defined security boundaries.
The proposition
Give teams the usefulness of generative AI without exposing institutional data, bypassing permissions or losing visibility into usage.
01
Faster research and content preparation
02
Reduced use of unapproved public tools
03
Consistent access to controlled knowledge
What we engineer
A complete operational capability—not an isolated model.
Every engagement is shaped around the institution, its constraints and the outcomes the system must produce.
Approved knowledge
Ground responses in authorised internal and external sources.
Safe tool use
Allow controlled actions through permissioned enterprise integrations.
Usage intelligence
Measure adoption, quality, cost and recurring information needs.
System flow
How intelligence moves through the system.
This visual grammar is consistent across Praxnetics: context becomes intelligence, intelligence is governed, and action remains observable.
- STEP 01Identity
- STEP 02Question or task
- STEP 03Policy check
- STEP 04Knowledge retrieval
- STEP 05Response or action
- STEP 06Traceability
Applications
Where this becomes operational.
01
Employee assistant
02
Policy copilot
03
Executive research assistant
04
Technical support assistant
05
Service agent assistant
06
Secure writing and analysis
Governance by design
Control is part of the architecture.
The system is designed so that trust can be demonstrated through evidence, permissions, evaluation and accountable intervention.
Identity and access
Data-loss prevention
Prompt and response controls
Approved-source grounding
Usage audit
Retention policies
Begin with the operational challenge