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Founder, Marshal
Kurt is the CEO of Marshal, the Managed AI Ops company that designs, deploys, and operates AI agents as critical infrastructure for founder-led businesses.
> AI agent security is the practice of capping what a deployed agent, and anyone who hijacks it, can do to the systems and data it touches. The agent's defining flaw, that it cannot tell data from...
> An AI agent governance framework is the set of runtime controls (scoped permissions, approval gates, exception queues, human review, audit trails, and a kill switch) plus the single accountable...
> An AI agent ROI measurement framework separates an agent's return into four classes (cost avoidance, capacity creation, risk and quality, and revenue lift) and measures each one on the clock it...
> AI agent performance metrics are the numbers a business tracks to confirm a deployed AI agent does its job correctly, safely, affordably, and fast enough to matter. Marshal sorts them into five...
> AI agent evaluation is the testing discipline that decides whether an agent can be trusted to own a business workflow. It runs on three surfaces: reliability (does the agent complete the job),...
> Choosing the right AI agent use case means passing each candidate workflow through three gates in order: value (is the job worth owning), risk (can the business afford the worst day), and...
> AI agent use cases are business workflows an agent can own end to end, and they sort by function: sales, marketing, customer service, finance and admin, HR, and IT operations. A use case is real...
> AI agents and chatbots differ by what they produce: a chatbot produces conversation, answering questions inside a contained exchange, while an AI agent produces actions, completing multi-step work...
> AI agent orchestration is the coordination layer that lets multiple specialized AI agents share work, context, and handoffs on jobs too big for one agent to own. An orchestrator routes tasks,...
> Designing an agentic workflow means specifying five stages in order: intake (the trigger and the inputs), reasoning (the decision and its limits), action (what the agent may write and where),...
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