Insights/downstream

ARIAAnalysis, Reporting

Synthesizes signal from every test run into decisions leadership can act on.

agent.idARIA
modelsonnet-4-6
statusready
latency~3s
ARIA's skills · 12 active · sprint context via Jira MCP ⌘
full library →
Input · Sprint Payload
combined output from TARA / EVAN / LEO / SARA
1,635 chars
Output · Status
ready
awaiting input
How ARIA works
01

Read every signal from TARA, EVAN, LEO, SARA

ARIA also pulls sprint context — name, dates, team, release tag — from your Jira/ADO/TestRail via MCP.

02

Find what matters

Cross-agent insights are weighted highest. When the auth path shows up in three agents, that's a structural signal — not a coincidence.

03

Push back to your tools

Findings become Jira issues. Quality reports become Confluence pages. Test results sync to TestRail. ADO work items get created for each recommendation.