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When software automates customer conversations, invoice processing, or intake qualification, it feels like permanent leverage. A repetitive administrative task that used to consume twenty hours a...
Oct 9, 2026/ recent · long reads
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Ask any agency founder what happens during the first five business days of a new month, and they will describe the same scene. Account managers stop optimizing campaigns, strategists cancel planning...
Oct 8, 2026
Most small-business owners discover automated collections after a painful cash crunch. You look at an accounts receivable aging report, realize that 30% of your billings are sitting past due, and...
Oct 7, 2026/ selected notes
All dispatches →01 / Workflows
Every managing partner at a growing accounting firm recognizes the January ritual. The practice configures client portals, creates folders, and sends welcome emails with login credentials for the...
Oct 6, 2026
02 / Workflows
Every managing partner recognizes the familiar friction of opening a new legal matter. An initial consultation concludes successfully, the retainer agreement is signed, and the legal team requests...
Oct 5, 2026
03 / Workflows
When a customer signs a contract with a growing business, the commercial momentum is at its peak. Sales celebrates the close, the customer feels eager to solve their problem, and leadership expects...
Oct 4, 2026
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Showing: AI Agents
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...
Kurt Fischman · Jul 22, 2026
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...
Kurt Fischman · Jul 22, 2026
> 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...
Kurt Fischman · 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...
Kurt Fischman · Jun 22, 2026
> 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...
Kurt Fischman · Jun 22, 2026
> 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. We sort them into five...
Kurt Fischman · Jun 11, 2026
> 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...
Kurt Fischman · Jun 10, 2026
> 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...
Kurt Fischman · Jun 10, 2026
> 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,...
Kurt Fischman · Jun 10, 2026
> The SMB agentification roadmap is the staged path a founder-led business takes from one-off agent pilots to an operating model, defined by who owns the agents rather than how many days have passed....
Kurt Fischman · Jun 8, 2026
> An AI agent for business is software that owns a defined workflow end to end: it reads what is happening, decides the next step, acts across the tools a company already runs, and works toward an...
Kurt Fischman · Jun 3, 2026
> An AI Agent System is a productized operational layer that owns a workflow end-to-end. A chatbot is a conversational interface that handles one turn of dialogue at a time. The difference is...
Kurt Fischman · May 27, 2026
An AI Agent System is the productized operational layer that wraps one or more AI agents, the governance that controls them, and the integrations that connect them to a company's real workflows....
Kurt Fischman · May 26, 2026
AI agents are discrete software entities that use large language models to plan, execute, and iterate on tasks autonomously, while agentic AI is the architectural paradigm describing any system...
Kurt Fischman · Apr 15, 2026
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