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 the AI Operating System
KYC / AML Intelligence and Continuous Monitoring
Run onboarding and transaction monitoring as governed, real-time pipelines across customer data, behavioral signals, and alerts.
- Continuous risk scoring
- Suspicious activity monitoring acceleration
- Audit-ready lineage across models and decisions
Credit Risk Modeling and Portfolio Scoring
Deploy, monitor, and refresh models across retail, SME, and corporate portfolios.
- Challenger model rollout
- Drift monitoring and performance telemetry
- Controlled promotion to production environments
Collections Optimization and Delinquency Prediction
Predict early delinquency, prioritize accounts, and optimize outreach strategies.
- Policy-aware automation
- Traceable decision pathways
- Reversible workflows across customer engagement actions
Agentic Copilots for Relationship Managers, Operations, and Compliance
Support frontline and operations teams with contextual insights, policy checks, and next-best actions.
- RM copilots for portfolio insights
- Compliance copilots for policy adherence
- Operations copilots for case workflows
Enterprise GenAI Knowledge Systems for Banking Teams
Enable governed enterprise knowledge across policy, product, risk, and operational content.
- Controlled retrieval and citations
- Role-based access enforcement
- Tool usage governed at runtime
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
01
Fraud detection and anomaly monitoring
02
Transaction monitoring triage
03
Underwriting decision intelligence
04
Customer churn prediction and retention
How the Enterprise AI Operating System runs inside your Bank
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
Tailor-made for regulated insurance environments
Designed for compliance-driven, risk-sensitive operations.
Infosys Finacle’s Open Source Services Partner FY25
InsurTech of the Year 2025
Supports governance, audit, and regulatory workflows across underwriting, claims, and servicing.
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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Demo
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