What is an OpenAI dot, and where does it fit at work?
A practical explanation of OpenAI dots, ongoing responsibilities, cloud computers, and the boundaries businesses should understand before adoption.
The reading room
Find your next
useful answer.
Practical guides for the decisions between a promising capability and a working business process. Every article includes primary sources and a checked date.
Browse the implementation guides
12 guides
Your first dot: a setup and acceptance checklist
Plan a bounded first OpenAI dots workflow with source access, permissions, review criteria, and a repeatable acceptance test.
Cloud or local? Where your dot actually works
Understand cloud computers, local-device requirements, browser sessions, and task locations before assigning ongoing work to a dot.
Permissions, app access, and the right to take action
A business guide to separating connected accounts, app actions, instructions, custom rules, and OpenAI dots action review.
From a Slack message to an ongoing responsibility
Understand the difference between messaging a dot, assigning monitoring, saving a schedule, and stopping its different kinds of work.
Dots, automation, or a custom agent: which fits the job?
A decision framework for choosing personal dots, deterministic workflow automation, and custom agent systems based on business requirements.
A small-business guide to the first useful AI workflow
Choose a practical first AI workflow for a small business, define review boundaries, and assess the real effort of operating it.
AI adoption across departments: fix the handoff first
A practical guide for midsize businesses introducing agents across sales, operations, finance, and delivery without losing ownership.
An enterprise readiness plan for OpenAI dots agents
Plan an enterprise dots pilot around workspace access, app permissions, data boundaries, oversight, and evidence-based acceptance.
How to evaluate an agent before making the work recurring
Create meaningful acceptance cases for AI workflows and assess accuracy, source use, authorization, exceptions, and recovery.
Manufacturing AI: connect the information, respect the controls
An implementation framework for manufacturing AI across business systems and operational technology, including integration and safety boundaries.
Choosing an AI implementation partner in Nashville and Tennessee
A buyer checklist for comparing AI implementation partners on scope, integration, ownership, evaluation, and ongoing support.