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Insurance Deployment
Policy Renewal Operations System
Projected policy lapse rate reduced from 23% to ~17%.
Pilot Duration
6 weeks
Measurement Window
12 weeks
Status
Production
Methodology
Audit-Ready
Client Context
Insurance intermediary managing 4,200 motor and health insurance policies.
Operational Problem
- —Renewals tracked manually using spreadsheets with inconsistent reminder scheduling.
Operational Workflow
Before Deployment
- — Manual intake
- — Spreadsheet tracking
- — Delayed operational response
- — Fragmented visibility
After Deployment
- ✓ Structured intake engine
- ✓ Automated prioritisation
- ✓ System-driven routing
- ✓ Operational visibility dashboard
Deployment Timeline
Pilot
Initial deployment on scoped process.
Measurement
Tracking against baseline.
Scale
Full production rollout.
Operational Impact
Policy lapse rate
Projected improvement
23%
~17%
Manual follow-up calls
Reduced call workload
3–5 per renewal
1–2 per renewal
Renewal lead time
Earlier engagement
48 hours
~9 days
Metrics measured during the first full quarter post-deployment against a four-week pre-deployment baseline.
Scope Limitations
Claims-linked renewals handled manually.
Business Impact
Renewal teams handled more policies with the same staff.
What Stayed Human
- Policy endorsements
- claims dispute handling
What We Learned
Older policyholders preferred SMS communication over WhatsApp.
Related Deployments
If your team is managing a similar operational problem, we scope a pilot in 2–3 weeks.
The pilot is production-safe and measured against your operational baseline.