Bank & Credits Union
AI for US Banks and Credit Unions
Build financial AI that wins in production – and stands up in audit
Same‑day underwriting, agentic collections, lower false positives, and true Net New Money growth with explainability, lineage, approvals, and live risk checks built in.
15
banks and insurers live
200
use case solutions
Your Institution Type
Built from the ground-up with your business in mind
National
Standardize governance at scale, centralize model inventory and compress approval cycles with maker checker review and automated documentation.
Credit
Unions
Standardize governance at scale, centralize model inventory and compress approval cycles with maker checker review and automated documentation.
Community
Banks
Standardize governance at scale, centralize model inventory and compress approval cycles with maker checker review and automated documentation.
Super Regional and Regional Banks
Standardize governance at scale, centralize model inventory and compress approval cycles with maker checker review and automated documentation.
Speed, Audit, and Deployment
Why iTuring delivers results
97%
Faster to value
Projects live in weeks – up to 97% faster than code‑plus‑consultant stacks.
100%
Audit‑ready
Auto‑documentation, lineage, explainability, approvals, drift/bias alerts, and exam‑ready packs.
200+
Connectors
Projects live in weeks – up to 97% faster than code‑plus‑consultant stacks.
Our Core Use Cases
Use cases that matter to your P&L
Credit Underwriting
Increase approvals at the same risk and move to same‑day decisions with committee‑ready documentation.
Fraud and AML
Detect more with fewer false positives; keep lineage and case trails intact across channels and models.
Deposit Growth (NNM)
Target genuine new capital with NNM propensity and price‑elasticity models validated on large cohorts.
Collections Optimization
Raise RPC/PTP and reduce cost‑per‑contact with risk‑segmented, agentic outreach and next‑best actions.
Our Five Platform Modules
The iTuring Platform
One governed backbone across data, modeling, deployment, risk, and governance for regulated finance.
Data Accelerator
25,000 pre‑built financial features with lineage‑tracking for safe reuse – turn months into hours.
Auto ML
4,000 agents compete to produce champion models with instant explainability and auto‑documentation.
Model Ops
Deploy any framework (Python, R, Spark, SAS) with maker–checker, versioning, and one‑click rollback.
Model Risk
60+ live‑risk checks, three‑layer drift analysis, and root‑cause in minutes – not weeks.
Model Governance
Central inventory, immutable trails, approvals, and examiner‑ready documentation across all models
iTuring Collections - agentic outreach that lifts recoveries
Risk‑segmented next‑best actions adapt messages, channels, and offers to increase RPC/PTP and lower OPEX. Campaigns self‑improve via uplift signals and drift checks while governance and audit remain intact.
Our Compliance Capabilities
Always audit‑ready
What auditors receive
Immutable lineage, per‑decision explanations, maker–checker trails, approval history, model inventory, and evidence export in standardized packs.
What leaders gain
Speed without surprises - policy‑driven alerts for drift, bias, and thresholds that trigger retrain or rollback.
SR 11‑7‑friendly documentation
Change control fit for committees
Portfolio‐level view across iTuring and third‐party models
Data To Deployed Models
How it works
Data in
Connect cores, LOS, CRMs, lakes, and streams; feature store lineage enables safe reuse across teams.
Build/validate
Auto ML 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.
Resources and accelerators
How to build a budget strategy during economic uncertainty
August 15, 2025
Banking
Top investment insights: what financial experts are watching
August 15, 2025
Banking
The Financial trends shaping that future of business in 2025
August 15, 2025
Banking
Frequently Asked Questions
Do community banks and credit unions get the same governance controls as nationals?
First value often within two weeks, with documented outcomes visible in 30–60 days depending on data access and scope.
How fast to first value?
First value often within two weeks, with documented outcomes visible in 30–60 days depending on data access and scope.
Can existing Python/Spark/SAS models be governed?
First value often within two weeks, with documented outcomes visible in 30–60 days depending on data access and scope.
Can existing Python/SpWhat audit evidence is produced?ark/SAS models be governed?
First value often within two weeks, with documented outcomes visible in 30–60 days depending on data access and scope.