Connected glass modules representing a modular enterprise AI product.

Modular AI Architectures

Design modular AI products on Azure — separate business rules, data access, models, and tool actions so teams can test changes independently and maintain clear ownership as the platform grows.

Insights & resources

Frequently Asked Questions
What does Modular AI Architectures include?
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An architecture design, interface contracts, working pilot modules, release checks, and operating documentation. The scope defines ownership, prerequisites, and acceptance criteria before delivery begins.

How are access and important actions controlled?
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We agree on approved data, user permissions, and tool access before implementation. Important changes retain human approval where needed. Testing covers unusual requests, failed integrations, recovery, and attempts to exceed permissions. The business and technical owners remain responsible for the deployed workflow.

How do we decide whether to expand?
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Compare pilot evidence with the current process and agreed acceptance measures. Review task quality, completion time, errors, and the full cost of operation, including human review and support. Expand only when results justify it, with clear ownership and a practical recovery plan.