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> An AI agent implementation playbook is the ordered sequence that moves an agent from a chosen use case to trusted, unsupervised production. Its seven stages (scope, score, design, build, evaluate,...
Jun 22, 2026/ recent · long reads
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> An AI agent risk assessment framework scores a single agent workflow on five factors (autonomy, reversibility, data sensitivity, customer impact, and auditability) to decide how much oversight it...
Jun 22, 2026
> 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...
Jun 22, 2026/ selected notes
All dispatches →01 / Workflows
> 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...
Jun 22, 2026
02 / AI Agents
> 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...
Jun 22, 2026
03 / AI Agents
> 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...
Jun 11, 2026
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Showing: Workflows
> 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...
Kurt Fischman · Jun 22, 2026
> An agentic workflow is a complete business job, from trigger to finished outcome, that an AI agent owns by deciding each step instead of following a fixed branch. It differs from a single task,...
Kurt Fischman · Jun 8, 2026
The business case for AI agents is the per-workflow analysis that decides whether an agent is worth building, measured as the manual-coordination cost a business stops paying minus the oversight.
Kurt Fischman · Jun 8, 2026
> Agentic AI is software that reasons over changing input and acts toward an outcome, while traditional automation runs a fixed rule and conventional software executes a fixed instruction. Agentic AI...
Kurt Fischman · Jun 8, 2026
> An AI agent for CRM sync and admin relay is an AI Agent System that keeps a company's CRM record current and routes the next action to the right person or system, without anyone driving each update...
Kurt Fischman · Jun 2, 2026
> An AI agent for client onboarding is an AI Agent System that turns a signed client into a running engagement: collecting intake information, provisioning access, scheduling kickoff, and chasing...
Kurt Fischman · May 29, 2026
An AI agent for lead qualification and routing is an AI Agent System that scores each inbound lead against a qualification framework and assigns the qualified ones to the right owner automatically....
Kurt Fischman · May 28, 2026
An AI agent for inbound lead response is a productized inbound workflow inside an AI Agent System for founder-led businesses where inbound volume has outgrown the team. The agent owns the path from...
Kurt Fischman · May 27, 2026
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