AI in the Workspace

Operational efficiency, human-in-the-loop, privacy, risk management, and adoption.

An AI assistant embedded in a workflow or tool that suggests or drafts work for a human to review and accept, rather than acting fully autonomously.

e.g. A coding assistant suggesting the next line as you type.

Practices ensuring sensitive or personal information isn't leaked to, stored by, or memorized by an AI system inappropriately.

e.g. Redacting customer names before sending a support ticket to an AI summarizer.

A shared, reusable collection of vetted prompts an organization uses to get consistent results from an AI tool.

e.g. A standard prompt template for summarizing meeting notes.

Employees using AI tools without IT or security's knowledge or approval, creating unmanaged risk.

e.g. Staff pasting confidential documents into a personal chatbot account.

Training employees to effectively use and oversee AI tools as part of their role, rather than being replaced by them.

e.g. Teaching a marketing team prompt-writing and AI output review skills.

Using AI to handle repetitive, multi-step tasks end-to-end within a business process, reducing manual work.

e.g. An AI system that triages, drafts, and routes incoming support emails.