Demo Mode
Risk Formation
Dashboards show numbers. Kincaid IQ shows receipts.
Demo dataset (illustrative). No client data.
Step 1 of 2
Volatility is the enemy at renewal
Shock claims, GLP-1 adoption, and utilization drift can be modeled—then managed.
SHOCK_CLAIM_PROB
Shock Claim Probability
0.19
Confidence:79%
HC_CLAIMANT_CONCENTRATION
High-Cost Claimant Concentration
0.54
Confidence:81%
GLP1_ADOPTION_RATE
GLP-1 Adoption Rate
0.04
Confidence:84%
STOPLOSS_RUNWAY
Stop-Loss Runway
2.30months
Confidence:76%
Decision Levers
These are the moves a CFO can defend with evidence.
Funding strategy: attachment point + lasers optimization
highExpected impact:-0.7 PMPM
Timeframe:Next renewal
Impact range:
-0.3 to -1.2 PMPM
GLP-1 eligibility + stewardship workflow
medExpected impact:-1 PMPM
Timeframe:30-60 days
Impact range:
-0.5 to -1.7 PMPM
High-cost claimant steering + care navigation
medExpected impact:-0.6 PMPM
Timeframe:60-120 days
Impact range:
-0.3 to -1 PMPM
Want this on your data?
We can run a renewal-grade readout using your claims + contracts and produce board-ready receipts.
