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Cloud Economics Planner
Explore the economics of a focused cloud review by adjusting monthly spend, recoverable inefficiency, implementation cost, and AI-infrastructure assumptions.
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AI Labs
Fitzroy AI Labs develops software around document-heavy and systems-heavy workflows. Current work includes Maria Ann for industrial bid operations, alongside focused tools and applied research.
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Tools available now
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Products in development
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Applied research tied to production
Available now
Downloadable PDF
AI Production Readiness Checklist
A practical executive checklist for evaluating systems, controls, data paths, workflow dependencies, and operating ownership before scaling AI initiatives.
Download the checklist →In development
In development
Maria Ann
A Fitzroy AI Labs product
Industrial bid-operations software that structures RFQ information, clarifications, ownership, issues, and submission readiness so teams can see what needs attention before a bid goes out.
Document-heavy RFQ packages
Missing-information risk
Internal review coordination
Submission-readiness control
Applied research
Cloud economics
How infrastructure architecture, workload behavior, and operating controls shape cost, resilience, and scalability.
AI infrastructure
How production AI changes inference economics, deployment paths, capacity planning, and system reliability.
Workflow intelligence
How document-heavy and approval-heavy operating processes can become more structured, visible, and controllable.
Product method
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Identify the operating constraint
Start with actual documents, users, permissions, exceptions, and deadlines inside the operating workflow.
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Validate with design partners
Validate the workflow with real documents, systems, approvals, and operating constraints.
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Productionize what works
Strengthen the product through tests, controls, integrations, and production feedback.
