Reporting with AI

Use AI to summarize results, explain variances, and help people consume planning outputs more quickly.

Reporting with AI is about reducing the time between insight and explanation. Instead of only showing the number, AI can help summarize what changed, what matters, and where a stakeholder should look next.

Good reporting use cases

• drafting a narrative summary for a board
• explaining large scenario or period variances
• highlighting the metrics that changed most
• helping a non-builder understand a model-backed result

What makes AI reporting useful

The best AI-assisted reporting stays close to the source metrics and makes the assumptions visible. A polished summary is only helpful if it still reflects the correct scenario, time range, and filters.

Review before you distribute

AI can speed up narrative creation, but you should still review the summary before it becomes part of executive or external reporting.