AI employees with a real job to do.

From helpful chat to repeatable responsibility.

A useful role has a recognisable input and output. Instead of asking AI to “help with marketing,” define a content employee that turns an approved idea and source material into a draft for a specific audience, ready for editorial review.

Choose the role that matches the bottleneck.

Executive support, meeting follow-up, content preparation, research, customer response drafting and process documentation are possible starting points. Each requires its own knowledge, review standards and limits.

• Chief of Staff: priorities and decision preparation
• Content Employee: research, drafts and repurposing
• Research Employee: source-backed briefs and comparisons
• Operations Employee: process documentation and recurring coordination

Onboard it with examples.

Give the role examples of good work, common mistakes, approved terminology, and situations that require a question. A short, relevant knowledge set is often easier to maintain than an unfiltered archive of every file in the business.

Manage quality like part of the job.

Review outputs against a checklist and keep a record of failure patterns. When the business changes, update the role. When a workflow repeatedly needs correction, adjust the instructions, inputs or scope before giving it more responsibility.