One operating system for real-time financial decisioning.
Govern lending, markets, payments, and portfolio risk at runtime
Run Financial AI and Agentic AI across lending, capital markets, payments, and risk as one controlled, auditable execution environment.
Financial AI is already deployed. It is not yet operationalized.
Most financial institutions run models across lending, capital markets, fraud, and compliance. Few can operate them continuously across business units and decision environments.
AI Now:
Drives lending, pricing, and portfolio decisions in real time
Operates inside trading, surveillance, and payment workflows
Interacts with analysts, relationship teams, and risk functions
Must be governed during execution, not after deployment
Where Financial Services AI loses control without an operating layer
Lending, markets, and compliance models operate in silos
Governance exists as oversight instead of runtime enforcement
Regulatory pressure increases audit, surveillance, and model risk exposure
Each new use case introduces new tooling, vendors, and operational fragmentation
Institutions do not struggle to build AI.
They struggle to operate it across portfolios, markets, and regulated workflows as one system.
Unlimited Financial AI and Agentic AI. One governed runtime.
Runtime-governed lending and credit intelligence
Operate origination, underwriting, and portfolio monitoring within controlled execution environments.
- Credit scoring and affordability modeling
- Early risk detection and portfolio surveillance
- Controlled model deployment and monitoring
Portfolio and market intelligence operating in real time
Run analytics and predictive intelligence across capital markets and investment operations.
- Portfolio risk signals
- Market movement intelligence
- Investment research augmentation
Payments and fraud intelligence operating inside transaction workflows
Identify anomalies and operational risks across payment ecosystems.
- Transaction monitoring intelligence
- Fraud detection and investigation support
- Decision traceability across workflows
Agentic copilots for analysts, relationship teams, and operations
Assist teams with context, recommendations, and next-best actions under policy control.
- Relationship manager copilots
- Analyst productivity copilots
- Compliance and operations support
Enterprise knowledge intelligence across financial operations
Enable governed knowledge systems across product, policy, research, and compliance environments.
- Role-based knowledge retrieval
- Traceable citations and decision support
- Tool usage governed at runtime
More financial workflows operating on the AI Operating System
01
Treasury and liquidity intelligence
02
Trade surveillance support
03
Regulatory reporting acceleration
04
Wealth and portfolio advisory intelligence
01
Treasury and liquidity intelligence
02
Trade surveillance support
03
Regulatory reporting acceleration
04
Wealth and portfolio advisory intelligence
Kernel-governed execution across lending, markets, and payments
Policies operate inside workflows and decision environments.
- Governance-as-code at runtime
- Policy enforcement across models, agents, and workflows
- Auditability, traceability, and reversibility embedded 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.
Scale Financial AI without governance gaps, lock-in, or cost fragmentation
01
Operate lending, markets, payments, and risk as one governed system
02
Reduce friction in deploying and managing production AI
03
Scale use cases without multiplying infrastructure or vendors
04
Strengthen audit readiness and execution accountability
05
Transition from fragmented adoption to enterprise AI operations
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Demo
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