Brazil, Australia Patch 5, Australia Patch 1, Zurich Patch 12, Zurich Patch 8
Generative AI
Data Quality Analysis is a ServiceNow platform capability that surfaces high-volume use cases hiding in operational records (like incidents or cases) and measures whether existing content — KB articles, catalog items, self-service paths — is usable to resolve them. The output is a ranked, agent-readiness report showing which use cases agents can handle now, which need content investment, and the rationale behind each call. Process owners configure once, run on demand, and act on the output in minutes.
- Cluster any trigger table (incident, case, HR case) into named use case buckets with volume counts
- Judge coverage per use case with an LLM that decides whether retrieved content(KB, CATALOG) is usable to resolve the incident, and writes a per-bucket rationale
- Gives you a ranked report with confidence tiers (High / Medium / Needs Content), per-use-case volume, coverage counts, and rational
Defect fixes on assist consumption
Not applicable for this application version.
GAIC and Gen AI setup working in the system
The app offers services with api, usable in AIS readiness tool