Reliance Intelligence · 2026

AI Evaluation · Quality Gate · Top 10 Use Cases

Problem Statement

• Teams compared single answers against ChatGPT and Gemini in screenshots. That mostly taught them to make answers prettier, not better.
• "Good" was never defined in measurable terms for most use cases, so quality couldn't be checked or tracked.
• Improving one use case could quietly make another worse, with nothing to catch it.
• Custom skills were the default answer to every gap, and they're expensive. The team needed proof a gap was real first.

Customer Persona(s)

• Experience leads deciding what to build for their use case
• Platform and engineering teams deciding how to deliver it
• Leadership needing a clear go / no-go on quality before launch

Impact

• Became the PM org's quality gate to ship across the top 10 product use cases
• Gives a go / no-go on whether a use case needs investment before engineering starts
• Catches regressions across use cases on every change
• One shared method and scoring language across all experience leads

System diagram

How a use case goes from user goal to the quality gate

Solution