Executive Workshop: Mapping Your First AI Agent Portfolio
Agentification maturity is not measured by agent count. Start with one high-value workflow, establish guardrails and governance early, and transition ownership to the function that runs it.
Kurt is the CEO of Marshal, the Managed Agent Operations company.
Kurt Fischman
Founder, Marshal
Articles by Kurt Fischman
The AI Agent Maturity Model for Business Teams Scores Supervision Capacity, Not Agent Cleverness
An AI agent maturity model for a business team is a staged framework that ranks how much work a business can safely hand to agents, and where along that path it currently sits. Most models split the...
AI Agent Readiness Measures Whether You Can Supervise an Agent at Volume, Not Whether a Pilot Impressed the Room
Agent readiness is the business case for AI agents restated as a production question: can you afford the oversight, not can you afford the license. Most guides answer a different question. They walk...
The Business Automation Spectrum: Software, RPA, Copilots, Agents, and Autonomous Workflows
Five words get sold as five products. They are one dial with a price on each notch, and the notch you can afford to buy is rarely the notch you can afford to supervise.
The AI Agents for Business Glossary: 75 Terms That Tell a Mechanism From a Sales Pitch
Seventy-five terms sounds like a lot until you notice most of them are selling you something. The market for AI agents for business is arranged as a shopping problem: ranked lists, best-of grids, a...
AI Agents for Business Are an Amount of Rope, Not a Product You Buy
AI agents for business get sold as a shopping problem, and the whole market is arranged to keep it that way: ranked listicles, best-of grids, a leaderboard of tools. That framing hides the actual...
The AI Agent Implementation Playbook: From Use Case to Production
> 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,...
The AI Agent Risk Assessment Framework: Score the Workflow, Not the Model
> 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...
AI Agent Security: Why You Contain the Blast Radius Instead of Patching the Flaw
> 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...
The AI Agent Governance Framework for a Business Without a CISO
> 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...
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