/ featured · this week
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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
/ the feed · everything we've published
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 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,...
Kurt Fischman · Jun 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 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 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 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),...
Kurt Fischman · Jun 10, 2026
> 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...
Kurt Fischman · Jun 10, 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
> 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),...
Kurt Fischman · Jun 8, 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 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
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 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 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
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