Solutions
08 / AI workloads

AI & Data Platform Architecture

Secure enterprise patterns for AI workloads: model access, identity, cost and governance.

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What the work covers

API gateways, model access (Vertex AI, Gemini, Azure OpenAI), identity, data boundaries and cost controls for AI platforms that must satisfy the same regulators as everything else.

  • API gateway and AI service integration patterns
  • Model access architecture and data boundaries
  • Identity and access controls for AI workloads
  • Observability and cost management
  • Platform governance and compliance

What you receive

  1. 01AI platform reference architecture
  2. 02Gateway and access controls as code
  3. 03Cost and usage dashboards
  4. 04Governance and approval runbook

How to buy this

Typical engagement models

01 / Assess

Architecture Review

2 weeks · fixed price

Teams about to commit budget to a platform change and wanting an independent view first.

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02 / Build

Fixed-Scope Build

4–8 weeks · fixed scope

Teams that know what they need built and want it done properly, once.

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Next step

Bring me the platform decision you have to get right.

A 30-minute architecture review call. You leave with a written view of the risk and the next step, whether or not we work together.

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