Shared AI gateway
Govern model access, routing, budgets, policies and provider choice centrally.
Solution / 01
Enterprise AI platforms
A governed platform for building, deploying and operating multiple AI applications across the organisation.
The proposition
Create a reusable institutional foundation instead of rebuilding security, knowledge access, model routing and monitoring for every use case.
01
Reusable capabilities across business units
02
Consistent controls and observability
03
Lower duplication and faster deployment
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.
Knowledge services
Provide permission-aware retrieval and semantic context to multiple applications.
Application framework
Standardise identity, evaluation, telemetry and delivery patterns.
Operations layer
Monitor usage, quality, cost, incidents and lifecycle changes.
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 01Users and systems
- STEP 02AI applications
- STEP 03Shared services
- STEP 04Knowledge and models
- STEP 05Control plane
- STEP 06Infrastructure
Applications
Where this becomes operational.
01
Internal copilots
02
Departmental assistants
03
Decision systems
04
Agentic workflows
05
Customer-facing AI
06
Research platforms
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.
Central policy enforcement
Provider and model controls
Application inventory
Evaluation gates
Cost and usage controls
Audit evidence
Begin with the operational challenge