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Run AI across risk, compliance, operations, and customer engagement as one governed system.
The Operating Layer for Production AI in Banking
Build, integrate, deploy, govern, and operate AI as a long - running enterprise system - inside your own environment, with full control, auditability, and accountability.
Banking has moved past AI pilots.
Now it must operate AI.
Most banks have models in production. Few have a system to operate them continuously across lines of business.
AI Now:
Triggers decisions in real time
Operates inside regulated workflows
Interacts with customers, employees, and systems
Must be governed as it runs - not after deployment
Banks are moving from AI programs to AI operations - where governance, model lifecycle, and execution accountability are built into the runtime.
Banks are moving from isolated AI initiatives to always - on execution across onboarding, credit, fraud, collections, servicing, and regulatory workflows.
Where AI execution breaks inside banks today
Models sit in silos across risk, fraud, underwriting, and operations
Governance exists as review processes, not execution controls
Regulatory pressure increases model risk, audit exposure, and change complexity
Every new use case becomes a new stack, new vendor, and new cost structure
Banks don’t struggle to build AI.
They struggle to operate AI as a system across the enterprise.
High - Impact Banking Use Cases on DSW UnifyAI OS
Unlimited Use Cases with a Single Subscription.
No more use - case - based cost barrier.
01
Fraud detection and anomaly monitoring
02
Transaction monitoring triage
03
Underwriting decision intelligence
04
Customer churn prediction and retention
05
Next - best offer and personalization
06
Contact center assist and QA analytics
07
Dispute and chargeback workflow support
08
Treasury and liquidity forecasting
09
Regulatory reporting acceleration
10
Model risk management and governance workflows
How the Enterprise AI Operating System runs inside your Bank
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The governed control plane for AI execution.
- Governance - as - code enforced at runtime
- Policy enforcement across models, agents, and workflows
- Auditability, traceability, and reversibility built into execution
The governed control plane for AI execution.
- Governance - as - code enforced at runtime
- Policy enforcement across models, agents, and workflows
- Auditability, traceability, and reversibility built into execution
Built for regulated Banking environments from day one
Infosys Finacle’s Open Source Services Partner FY25
InsurTech of the Year 2025
Supports model governance, audit workflows, and regulatory reporting expectations across banking operations.
From fragmented AI to an enterprise operating model
01
Operate AI across risk, fraud, compliance, and customer workflows as one governed system
02
Reduce model deployment friction and governance overhead
03
Scale AI use cases without multiplying vendors or infrastructure
04
Improve audit readiness and execution accountability
05
Move from fragmented AI adoption to enterprise - wide AI operations
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