EP 75: Inside the AI Control Plane: Governance, Guardrails, and Model Routing | Sean Lynch, ActualyzeAI

ActualyzeAI came out of stealth just days before this conversation. Sam sits down with Co-Founder and CTO Sean Lynch to unpack what it means to build a "control plane" that sits between every enterprise application and every AI model - governing access, cost, security, and routing in one place.

Topics covered:

• What a control plane for enterprise AI actually does, and why it requires zero code changes to adopt
• Aggregating inference across OpenAI, Anthropic, Google Bedrock, and self-hosted/on-premises models into a single endpoint
• "Virtual models" — purpose-built model configurations that route requests based on task type (coding, reasoning, agentic work)
• Guardrails: automatic detection and redaction of PII, PHI, API keys, and other sensitive data in the inference stream
• Financial operations as the leading driver of adoption — budgetary controls, spend limits, and team-based tracking
• The coming wave of domestic and open-weight small language models, and why that's expanding the market
• Why model-agnostic infrastructure is critical as the foundation model landscape fragments
• How ActualyzeAI's founding team (formerly of Metacloud, acquired by Cisco) shaped their approach
• ActualyzeAI's design partner program for early enterprise customers

Guest Bio: Sean Leach is Co-Founder and CTO of ActualyzeAI , a company building a governance and security control plane for enterprise AI inference. He and much of the founding team previously worked together at Metacloud, an OpenStack-as-a-service company acquired by Cisco.

Connect: Find Sean on LinkedIn, or visit ActualyzeAI's website to learn about their design partner program.