Insurance AI that stops revenue leakage, sharpens risk, and clears audit
Governed intelligence for claims, fraud/SIU, underwriting, and retention – live in weeks
Add explainability, lineage, approvals, and live risk checks into every decision so adjusters and underwriters move faster without sacrificing scrutiny or control.
18
banks and insurers live
140
use cases
Built from the ground up for your business
Property & Casualty
Triage FNOL (First Notice of Loss) in minutes, surface subrogation early, and reduce indemnity/LAE with explainable severity and routing models.
Life & Annuity
Improve risk selection and lapse prevention with maker–checker approvals and exam‑ready documentation across products and riders.
Health
Lower false positives in fraud/waste/abuse and accelerate SIU (Special Investigations Unit) handoffs with lineage‑aware case building and drift monitoring.
Reinsurance/MGA
Standardize governance, versioning, and inventory across programs without slowing placement or endorsements.
Built for regulated insurance at production speed
Faster to value
First production wins in weeks – up to 90% faster than code‑plus‑consultant stacks.
Audit‑ready
Auto‑documentation, lineage, explainability, approvals, drift/bias alerts, and examiner‑ready packs by design.
Connectors
Any‑framework deployment with versioning, blue/green, and safe rollbacks when policy shifts hit.
Where value lands across the policy lifecycle
Claims Intake & Triage
Prioritize severity, route accurately, and shorten cycle time with explainable triage that stands up to review and recovery teams.
Fraud & SIU
Detect more with fewer false positives; link entities, preserve case trails, and escalate confidently with portfolio‑level model inventory.
Underwriting & Risk Selection
Score submissions, align to appetite, and document binds with maker–checker approvals and explainability baked in.
Retention & Lapse Prevention
Predict lapse risk, tailor pricing and outreach, and keep policies active with governed personalization and drift control.
The iTuring Platform
One governed backbone across data, modeling, deployment, risk, and governance for insurers finance.
Data Accelerator
25,000+ insurance‑ready features with lineage to turn months of data work into hours – no code required.
Auto ML
4,000 agents compete to produce champion models with instant explainability and auto‑documentation.
Model Ops
Deploy iTuring, Python, R, or Spark with maker–checker, version control, blue/green, and rollback on tap.
Model Risk
Model Governance
Central inventory, immutable trails, approvals, and examiner‑ready evidence across iTuring and third‑party models.
Premium Collections - fewer arrears, lower OPEX, clearer audit
Segment by risk and responsiveness, adapt messages and channels in real time, and keep every promise‑to‑pay traceable from strategy to settlement.
Reduce early‐stage arrears with risk tuned next best actions.
Improve right party contact and promise to pay fulfillment.
Preserve end-to-end governance in billing and dunning.
Governance that passes the read‑through test
What reviewers receive
Immutable lineage, per‑decision explanations, maker–checker trails, approval history, model inventory, and exportable evidence packs.
What leaders gain
Policy‑driven alerts for drift and bias; push‑button retrain or rollback to keep performance and compliance aligned.
Committee‑ready documentation
Portfolio‑level visibility across models
Governance policy aligned change control
From data to defended decisions
Data in
Connect policy, claims, billing, CRM, lakes, and streams; reuse features with lineage across lines and products.
Build/validate
AutoAI runs champion–challenger, logs explainability and documentation per step, and prepares approval packs.
Deploy/monitor
Any framework to production with blue/green, versioning, 60+ live‑risk checks, and portfolio dashboards for MRM.
Frequently Asked Questions
Do same governance controls apply across P&C, L&A, Health, and Reinsurance?
Yes – lineage, explanations, approvals, and evidence packs are consistent across lines, with deployment scaled to each environment.
How fast to realize or deliver first value?
First value is typically within two weeks, with documented outcomes visible by 30–60 days depending on scope and data access.
Can we govern existing Python/Spark/SAS models?
Yes – govern iTuring and non‑iTuring models with the same approvals, inventory, and evidence exports.
What audit evidence is produced?
Step‑level documentation, per‑decision explanations, approvals, version history, lineage, and exportable exam packs.
