Know what's risky before you ship it.
EmergeAI Risk Radar reads your requirements, bug reports, and code changes, then scores every release before it goes out the door — so risk shows up on a dashboard, not in production.
Three passes, one score.
Risk Radar sits alongside your existing tools. It doesn't ask your team to change how they write tickets or ship code.
Ingest
Connects to Jira, GitHub, GitLab, and your bug tracker, then pulls in requirements, tickets, and diffs as they're written.
Analyze
Reads change intent, code complexity, and defect history together — not code in isolation — to model what could break.
Score & flag
Every release gets a composite risk score with a plain-language reason for each flag, visible before you merge.
Everything a release manager checks manually, done automatically.
Composite risk score
One number per release, built from requirement volatility, code churn, and historical bug density.
Explainable flags
Every flag names the files, the requirement, and the past incident it resembles — no black-box scoring.
Release gates
Set a risk threshold that blocks a merge or a deploy approval automatically, without a human bottleneck.
Historical trends
Track how risk drifts release over release, team over team, and where it consistently comes from.
Native integrations
Jira, GitHub, GitLab, Azure DevOps, and Slack — connect once, no migration required.
Fits your pipeline
Runs as a CLI step, a GitHub Action, or a webhook — no rewrite of how your team already ships.
A score your team will actually trust.
The composite score breaks down into the categories that drive it, so a "62" is never just a number — it's a reason.
- Requirements clarity — how well-defined the ticket was before code was written.
- Code complexity — size and structural risk of the actual diff.
- Bug density — how failure-prone this component has been historically.
- Test coverage — how much of the change is actually verified.