Bulk AI idea prioritization

What is the challenge?

• Teams with large idea backlogs cannot prioritize ideas efficiently at scale with AI today. Current workflows force smaller-batch reviews, which can create inconsistent scoring and make fair comparison across the full set difficult.

What is the impact?

• This slows prioritization, increases manual effort, and reduces confidence in the results. Without full-dataset normalization and automatic write-back, teams cannot easily operationalize AI-assisted prioritization in their existing workflow.

Describe your idea.

• Add an end-to-end AI idea prioritization workflow that processes large idea lists in a single run, scores ideas using custom criteria, normalizes results across the full dataset, and writes the final scores back to a custom score field automatically.