AI Image Tool Selection and Pilot Framework (Onboarding)

AI Image Tool Selection and Pilot Framework (Onboarding)

1. 01

   Map the client's visual production workflow to identify where AI image generation fits

   Document current timelines, asset types, and bottlenecks. For example, a client needing 50 social variants weekly may benefit from a tool like Recraft, while a client requiring photorealistic concept art might prefer Midjourney.

2. 02

   Define measurable success criteria for the pilot

   Set targets such as reducing asset turnaround time by 40% or cutting stock image costs by $2,000 per month. Use these metrics to evaluate the tool's impact objectively.

3. 03

   Evaluate the tool's brand consistency controls

   Check if the platform supports custom style guides, brand colors, or logo integration. Recraft offers brand consistency controls, which are critical for maintaining client identity across generated assets.

4. 04

   Assess IP and commercial safety of generated outputs

   Review the tool's terms of service regarding ownership and training data. Adobe Firefly is trained on licensed content, making it a safer choice for commercial client work, whereas other tools may have ambiguous IP clauses.

5. 05

   Run a controlled pilot with a single client account

   Select one client and produce a small batch of assets (e.g., 10 images) for a real campaign. Compare the output quality against existing stock or freelance work to gauge acceptance.

6. 06

   Document human correction rates and workflow integration friction

   Track how many generated images required manual edits and how easily the tool integrates with existing design software. High correction rates may negate time savings.

7. 07

   Review pilot results against success criteria and decide on scale

   If the pilot meets targets, plan a phased rollout across other accounts. If not, document the gaps and consider alternative tools or additional training.