Use case / QA and enterprise

Reproducible reports for QA. Governed debugging for enterprise.

The evidence pipeline is the same. The difference is what problem you are solving: QA needs faster reproduction, while enterprise teams need the same debugging power inside stricter storage, retention, and access boundaries.

QA / Pro

Debug-first when release confidence is the priority.

QA teams buy speed. They want a report that engineering can reproduce without three rounds of follow-up.

Generate clean screenshots from page context
Upload or paste a screenshot when a page blocks capture
Attach replay and telemetry when policy allows
Keep staging, beta, and internal testing flows tight

Enterprise

Governed debug for controlled environments.

Enterprise teams buy control. They want the same evidence pipeline as QA, but inside rules the organization can defend.

Advanced retention and evidence handling controls
Bring-your-own storage and stricter storage boundaries
Roles, permissions, and audit-friendly workflows
Dedicated worker lanes or customer-owned AI endpoint options

How to explain the upgrade path internally

Free

Collect feedback, keep the queue usable, and get a weekly AI digest of what is coming in.

Pro / QA

Reduce “can’t reproduce” loops with stronger evidence and faster triage.

Enterprise

Keep that same debugging power while satisfying storage, retention, and governance requirements.