Question
What is AI automation?
AI automation uses language models, rules, APIs, and workflow tools to handle repeated business tasks such as messages, document routing, qualification, booking, reminders, and reporting.
Question
What is an AI agent?
An AI agent is a controlled system that can use tools, read context, take limited actions, and escalate when it reaches a boundary. The harness around the model matters more than the label.
Question
Do I need ChatGPT for business automation?
Not always. Some systems use OpenAI models, some use Azure OpenAI, Claude, Gemini, local models, rules, or a mix. The right choice depends on privacy, reliability, cost, and workflow fit.
Question
Why self-host AI or automation instead of using SaaS?
Self-hosting can help when control, privacy, cost predictability, local integrations, or custom workflow ownership matter. SaaS is still useful when speed and managed infrastructure are more important.
Question
How long does an AI automation project take?
A small audit or prototype can take days. A production workflow with credentials, logging, human review, edge cases, and support usually takes longer and should be scoped around one workflow first.
Question
Can AI work with Microsoft 365?
Yes. AI systems can work with Microsoft 365, SharePoint, OneDrive, Outlook, Teams, and business email when permissions, data boundaries, and audit trails are designed carefully.
Question
What is RAG?
Retrieval-augmented generation connects a language model to selected documents or databases, so answers are grounded in approved business sources rather than model memory alone.
Question
What is MCP?
Model Context Protocol is an integration pattern for connecting AI assistants to tools, data sources, and workflows through a consistent interface.
Have a question tied to your own workflow?
The useful answer depends on your tools, data, risks, and staff process. Start with the workflow you want to improve.