Digitizing Incident Intake to Improve Resolution Speed and Data Quality
10x Cost reduction45% accuracy increase85% improvement at first iteration
A leading pensions organization faced persistent inefficiencies in its incident‑resolution process. Intake relied on unstructured email submissions that were frequently incomplete, inconsistently classified, and misrouted across teams. As a result, analysts spent significant time reconstructing context, clarifying missing information with stakeholders, and reworking incorrectly assigned tickets. Resolution timelines lengthened, operating costs increased, and stakeholder confidence eroded.
The intake process was redesigned end‑to‑end to establish structure, accountability, and data integrity at the point of entry. Ownership was clarified, mandatory data fields were embedded, and the digital intake experience was modernized and standardized. Internal teams and external users were aligned on the new intake model to ensure consistent adoption. With complete and validated information captured upfront, analysts were able to shift focus from interpretation and rework to root‑cause analysis and resolution.
The impact was material. Analyst effort per incident declined by an order of magnitude, while incident data accuracy and submission completeness increased to approximately 95%. These improvements enabled faster, more predictable resolution cycles, reduced escalation loops, and a more consistent client experience.
| Factors | Before | After | Impact |
|---|---|---|---|
| Business analyst effort per incident | $2,250 | $225 | 90%reduction in effort and cost |
| Accuracy of incident data | 50% | 95% | Dramatic improvement in data quality |
| Completeness of client input | 10% | 95% | Near‑complete intake at first touch |