Where AI helps agencies
AI can help with research summaries, content outlines, first drafts, ad variations, reporting summaries, and internal documentation. These uses can free strategists and writers to spend more time on thinking and creativity.
Keep quality standards
Clients pay for expertise. AI drafts should be edited carefully, fact-checked, and adapted to each client's voice. Generic AI content can damage client relationships.
Be transparent
Consider how you'll talk with clients about AI use. Many clients appreciate efficiency, but they want to know their work receives expert attention and their information is protected.
Client data
- Review client contracts for data restrictions
- Use approved tools with appropriate privacy settings
- Avoid uploading confidential information unnecessarily
Reporting
AI can help turn analytics data into readable summaries, highlighting trends and recommendations. Verify numbers carefully.
Internal processes
AI can help document workflows, onboarding guides, and quality checklists.
Price for value
As AI changes how long tasks take, consider pricing based on outcomes and expertise rather than hours alone.
Stay ahead
Experiment, share learnings internally, and update processes as tools improve.
Build review checkpoints
Create clear quality checkpoints for AI-assisted work, such as a fact-check, a brand voice review, and a final editor sign-off. AI can help you write the checklist, but people must do the reviewing. Consistent checkpoints protect quality as the team moves faster.
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