/
/
/
Cogentiq Underwriting
1
Rising submission volumes
Digital distribution and broker automation drive higher intake, without matching capacity growth.
2
Fragmented data ecosystems
Data lives across systems, formats, and channels.
3
Workflow friction limits visibility and agility
Manual routing and disjointed systems hide quote status, delay decisions, and disrupt SLA consistency.
4
Submission challenges
Survey shows only 25% of submissions are written, up to 60% go untouched.
5
Time lost to low-value work
Underwriters lose up to 40% of their time on low-value tasks, draining focus from high-impact decisions.
6
Regulatory demands and AI governance
AI adoption stalls without explainability, traceability, and confidence built.
7
Pressure on talent and continuity
With senior underwriters retiring, capturing expertise and scaling consistent decisions is more critical than ever.
8
AI misunderstood and undervalued
Without grounding and transparency, AI feels like a chatbot, not the decision engine underwriting needs.
1
Accelerated quote-to-bind cycle
2
Reduction in operational costs
3
Reduction in loss ratio
4
Increase in underwriter capacity
5
Increase in opportunities assessed
Insights from leaders
Our experts
Onil Chavan
Client Partner - Insurance
