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Dan Mercede

Dan Mercede

Founder & AI Systems Architect — Governed Agent Runtimes

San Diego, California, United States

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Dan Mercede is a founder and AI systems architect focused on governed AI systems, agent runtimes, AI risk controls, and enterprise AI adoption. He is building Cosmocrat, a governed AI operating system/control plane designed to decide what autonomous systems are allowed to do before they mutate systems, data, or workflows.

His work centers on runtime authority decisions: approve, deny, defer, fail closed, and persist an auditable receipt. Dan’s talks focus on agent authority, AI security boundaries, adversarial code review, runtime governance, RAG/GraphRAG, and production-grade AI operating models.

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Area of Expertise

  • Business & Management
  • Finance & Banking
  • Information & Communications Technology

Topics

  • Artificial Intelligence (AI)
  • The Future of Artificial Intelligence: Trends and Transformations
  • AI for Startups
  • Generative & Agentic AI
  • AI Governance
  • Enterprise AI Architecture
  • AI Agent Systems
  • RAG
  • GraphRAG
  • Retrieval Augmented Generation (RAG) and LLM Applications
  • AI Agentic Workflows
  • AI Orchestration
  • AI Engineering
  • AI Code Generation
  • AI Cloud
  • Google Cloud Platform (GCP) Architecture
  • Microsoft Azure
  • AWS
  • AI Foundry
  • MCP and GraphQL for AI Systems
  • Knowledge Graphs
  • Enterprise AI
  • Enterprise AI Governance
  • AI Agents
  • Generative AI Use Cases
  • AI Builder
  • Azure AI Foundry

Dan Mercede

Founder & AI Systems Architect — Governed Agent Runtimes

San Diego, California, United States

Links

Actions

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