Tony Mamedbekov
Building AI systems teams can depend on
I am a software architect and product builder focused on Operating AI Systems: the architecture, workflows, controls, and education that help teams move from experimenting with AI to actually relying on it.
20+ years building software
Architecture, product strategy, AI workflows, and enterprise-grade execution.
AI Framework
Operating AI Systems
Operating AI Systems is my practical framework for designing AI products that reason, act, adapt, and improve under real business constraints. It combines architecture, governance, evaluation, human review, and product operations into one operating model.
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InfoDump
Let every team use AI and LLMs without giving up privacy or control of your data
InfoDump sits between your people, your models, and your systems as the governance layer that enforces privacy, policy, and data ownership while making AI safe to use across the business.
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Privacy
Ownership
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Consulting
From discovery call to dependable AI workflow
The fastest way to make progress is to define the system before choosing the tools. These sessions help teams understand what to automate, what to keep human, and how to measure whether the system is good enough to operate.
AI Systems Discovery Call
Clarify the business workflow, risk profile, automation potential, and the first practical system to build.
Architecture Consulting Session
Review your AI product direction, technical architecture, data boundaries, prompts, tools, and operating model.
Implementation Advisory
Turn the plan into a working system with measured quality, clear ownership, and a path for iteration.