Readiness & architecture
Inventory AI usage, assess data and identity requirements, and design a target architecture across applications, gateway, data and models.
08 · Enterprise AI
Enterprise AI Infrastructure
AI adoption makes people more productive. AI infrastructure makes the organisation capable. We design the control layer (identity, gateway, data and models) that lets AI scale with governance instead of escaping it.
Most enterprises already have shadow AI: personal chatbots, unmanaged uploads and coding agents. We start with visibility, then build the control layer and a 90-day path to production.
What we deliver
Three services, delivered end to end
Scope it precisely, deliver it completely.
AISIX AI Gateway
Deploy AISIX as the central control point for model and agent traffic: aliases, credentials, limits, guardrails and telemetry.
Governance & rollout
Policies, operating procedures and a 90-day roadmap aligned with NIST AI RMF, ISO/IEC 42001 and OWASP GenAI guidance.
Why it works
Built to hold up in production
No GPU required to start
Begin with cloud model APIs through the gateway; add compute only when a use case demands it.
Control before scale
A gateway and governance layer come first; models and tools can change later.
Shadow AI visibility
See which teams, apps and agents reach AI, and under what policy.
Enterprise-grade path
Assessment → PoC → rollout, with training and operations included.
AISIX is the control layer
AISIX handles AI and agent traffic. The surrounding programme covers identity, data, FinOps, SIEM, resilience and the operating model.
Start a conversation
Ready to raise the ceiling on your platform?
Tell us what you're building. We'll assess it and propose the right approach, and the first conversation is free.
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