IllustrativeThis case study is anonymized and modeled after a real prospect conversation. No customer is identified or quoted. Real, named stories will replace these as pilots go live.
No-code TM scenario builder lets a compliance officer (no engineering involvement) tune coverage in response to a new typology bulletin.
6 wk → 4 h
in one weekend
no JIRA, no release
A challenger bank received a typology bulletin describing a new mule-account pattern that didn't trigger any of the four pre-built scenarios. The compliance team had to write a JIRA ticket, wait for the next platform release, and watch the mule traffic build for ~6 weeks before the new detector was live. Coverage gaps became audit findings.
The team adopted the RiskSonnar no-code scenario builder. The compliance officer composed the new detector in the visual builder: a transaction-velocity feature, a cross-account hop-count feature, a watchlist hit, and a threshold. She shadow-ran it against 90 days of historical events in the sandbox, tuned the threshold to 7 alerts/day (sustainable on her L1 team), then promoted to production with a single signed action that lands in the audit chain.
Four new scenarios shipped over one weekend: mule-velocity, layered-cash-out, dormant-revival, and merchant-category-anomaly. Mean detection lag on the new typology dropped from 6 weeks to 4 hours. Audit chain captures who promoted what, with which threshold, with link to the shadow-run results — exactly what the regulator asked for at the next on-site.
“I used to file engineering tickets and wait. Now the gap between reading a typology bulletin and having a tuned detector live in production is one afternoon. The audit chain proves it — I can show the regulator exactly what I shipped and why.”
The synthetic-data sandbox runs the same surfaces this story used, against deterministic test data. No customer setup needed — the session auto-expires after 60 minutes.