Claims Processed YTD
2.84M
↑ 8.2% vs LY
Avg Cycle Time
7.2 days
↓ 1.4d YoY
Subrogation Recovery
$184M
↑ 12.4% YoY
Claimant NPS
+62
↑ 8 vs LY
Cycle Time by Claim Type
Days · Q1 2026
Top Loss Drivers
% of total claim volume
Operational Insight
Rear-end collisions are 28.4% of volume but resolved 32% faster than network avg through Express auto-estimation. Scaling auto-est to side-impact claims is the largest cycle-time lever.
Auto-Estimation Rate
42.4%
↑ 14pp YoY
AI Decision Accuracy
94.2%
↑ 2.1pp QoQ
Carriers using AI Suite
214
+38 YoY
Cycle Time Lift
−68%
vs. manual baseline
AI Adoption by Carrier Tier
% of claims using auto-estimation · Q1 2026
| Carrier Tier | Carriers | Claim Volume | Auto-Est % | YoY Δ | Status |
|---|---|---|---|---|---|
| Tier 1 (Top 10) | 10 | 1.42M | 58.4% | +18pp | PRODUCTION |
| Tier 2 (11–50) | 40 | 820K | 38.2% | +12pp | SCALING |
| Tier 3 (51–200) | 150 | 498K | 22.1% | +8pp | RAMP |
| Regional (200+) | 14 | 102K | 8.4% | +3pp | PILOT |
EvolutionIQ Integration Impact
Post-acquisition · cohort comparison
Model Quality Trend
Auto-estimation accuracy · 12 months
Client Retention
98.4%
↑ 1.2pp YoY
Active Carrier Clients
214
+38 YoY
Avg Contract Value
$2.4M
↑ 8.4% YoY
NRR (Top 50)
118%
↑ 6pp YoY
Top 10 Carriers — Health Scorecard
Q1 performance · synthetic carrier names
| Carrier | Claims YTD | Cycle Time | NPS | Auto-Est % | Health |
|---|---|---|---|---|---|
| Carrier A · National | 214K | 5.1d | +72 | 68.4% | EXCELLENT |
| Carrier B · National | 198K | 5.8d | +68 | 62.1% | EXCELLENT |
| Carrier C · Regional | 142K | 7.2d | +58 | 48.4% | STRONG |
| Carrier D · National | 128K | 7.8d | +54 | 42.1% | STRONG |
| Carrier E · Specialty | 98K | 9.2d | +38 | 28.4% | REVIEW |
| Carrier F · Regional | 84K | 7.4d | +62 | 52.1% | STRONG |
Customer Success Note
Carrier E's auto-estimation rate is materially below network median. 3-week implementation gap identified — escalating to CS lead for joint intervention plan.