Credit & Financial Decisioning
- Credit assessment
- Eligibility and scoring
- Loan recommendations
- Affordability assessment
- Limit decisions
Financial Services & Banking
Drive responsible AI, stronger decisions, and greater trust in financial services.
CognitiveView helps financial institutions discover AI, assess decision risk, govern controls, evaluate performance, and capture evidence — supporting assurance-backed decisions before and after deployment.
Understand your AI
Discover financial AI and assess decision risk
Build evidence
Connect your controls, evaluations, and assurance evidence
Stay compliant
Monitor financial AI and maintain continuous oversight
Banks
Credit Unions
Wealth Managers
Insurance
Payment Providers
Financial Market Infrastructure
The financial AI opportunity and challenge
Financial institutions are no longer governing only traditional statistical models.
AI now appears across models, applications, generative AI, copilots, agents, and autonomous actions — and can influence who gets credit, who gets flagged, what risk is identified, what is recommended, and what action is taken.
Financial AI governance needs to connect each use case with its decision impact, controls, and evidence.
Models
Applications
Generative AI
Copilots
AI Agents
Autonomous Actions
Unknown use cases → Unknown decision impact → Unknown risk
Fragmented controls → Limited evidence → Unclear assurance
Financial AI use cases
Financial use cases. Real impact. Structured governance across your AI estate.
Connected financial AI governance
A complete AI governance workflow for financial institutions — connecting discovery, decision risk, evidence, and continuous oversight.
All AI systems and use cases
Decision risk and impact
Policies, controls, and owners
Performance, fairness, and safety
Maintain records and documentation
Evaluate and decide
Approve for use
Ongoing oversight and risk management
Your financial AI estate, in one view
See your governance and assurance progress in one place, with visibility across readiness domains, review needs, and evidence gaps.
Financial AI readiness overview
Illustrative dashboard · Sample data
214
AI Systems
38
High Impact
17
Needs Review
23
Evidence Gaps
12
Open Risk Items
Standards and regulatory alignment
Map financial AI governance to the global standards and regulations relevant to your use cases and operating regions.
AI Management System
AI Risk Management Framework
Regulatory Compliance
Consequential Decision-Making
Employment AI Tools
Model Risk Management Guidance
Financial Services AI
Discover your AI, reduce risk, strengthen governance, and demonstrate assurance across your financial institution.
Manage model, AI, and third-party risk across your enterprise.
Align governance with global standards and regulatory expectations.
Demonstrate responsible AI governance to customers, regulators, and investors.