019 min read
AI employees for business: what they are and where they work
A practical guide to AI employees: what they are, which business roles fit, how human oversight works, and what it takes to operate them safely.
Insights · operating notes
AI that has to survive contact with work.
Field guides for choosing the right workflows, designing AI employees, and operating managed agents after the demonstration ends.
We write from the system outward: triggers, tools, permissions, evaluation, failure, recovery, and the person who remains accountable.
Tier 01 / Field guides
028 min read
AI employee vs AI agent vs chatbot vs automation
Compare AI employees, AI agents, chatbots, and workflow automation by trigger, autonomy, tools, risk, and the business problems each is suited to solve.
0310 min read
What business processes should you automate with AI?
A practical framework for choosing AI automation opportunities based on volume, variability, evidence, risk, integrations, and measurable business value.
0411 min read
How managed AI agents work in production
Understand the production architecture for managed AI agents: triggers, context, tools, permissions, evaluation, observability, human approval, and operations.
Have a workflow in mind?
Start with the work, not the model.
We can map the process, test whether AI belongs in it, and design the smallest production system that can own the result.