Explore Crisil, a company of S&P GlobalFormerly known as Global Research & Risk Solutions
Formerly known as Global Research & Risk Solutions
AI and Automation
Manage risk better with customised automation and advanced analytics
Data analytics is vital for financial institutions (FIs) to leverage the vast number of data points and diverse data sources to identify trends, assess risks and make data-driven strategic decisions in a competitive environment. Crisil offers a comprehensive suite of automation tools designed to optimise underwriting, periodic reviews, ongoing monitoring, as well as credit risk workflow management. By harnessing these tools, FIs can accelerate onboarding, elevate the quality of their credit risk assessment processes, boost accuracy and reduce processing time consumption. Our automation solutions enable FIs to bring in incremental efficiencies within their credit risk management practices, simplify research and analysis, leverage advanced analytics and gain a competitive edge.
GenAI
GenAI-powered solution for credit risk assessment with ‘human-in-the-loop’ approach
An innovative AI-powered solution with ‘human-in-the-loop’ approach helps generate credit assessment reports by leveraging proprietary prompt library aligned with the GICS architecture. Inbuilt AI guardrails reduce hallucinations and information loss
Credit + EWS
Centralised platform for tracking early warning indicators
Our EWS solution leverages data, rule-based flags and multi-dimensional trigger libraries to detect changes in credit quality, provide risk managers with actionable insights and manage corrective action plans. EWS helps monitor the quality of credit portfolio and lower loan loss contingencies
Covenant Guard
Customisable covenant workflow solution with dynamic dashboarding
Covenant Guard enables periodic covenant monitoring, validation and headroom analysis. Our solution allows risk officers to receive system-generated alerts on material deterioration of covenant headroom and status reports. Additionally, users can drill down on the dashboards
Data XMine and SMART
Proprietary data extraction and digitisation platform for financial disclosures
Data XMine is a D-I-Y engine that specialises in data extraction by leveraging a system-assisted approach, which offers high accuracy. SMART is a financial spreading platform that facilitates model management and workflow digitisation, including ESG workflows
ICON
Platform for end-to-end credit risk management needs of FIs
Credit + ICON is an integrated risk management platform that allows users to host and maintain credit risk scorecards, perform financial spreading and calculate risk measures. It enables credit risk managers to perform advanced analytics, enhance credit risk assessment quality and boost efficiency
Crisil Advantage
Our experts from data science, technology and domain-specific fields develop automation-enabled solutions, making a meaningful impact in the industry.
By automating manual tasks, GenAI significantly cuts processing time by 30-50%, allowing teams to focus on strategic activities. It offers stakeholders dependable, data-driven insights for informed decision-making. Furthermore, the system design ensures easy scalability, meeting the expanding requirements of businesses.
Our technology-enabled accelerators optimise workflows for rapid decision-making through use of dashboards and actionable playbooks, ensuring alignment with industry best practices.
30%
Comprehensive coverage of 60-70% of the report sections via Gen AI that provides an efficiency of more than 30% for preparing a credit report
95%
Unlock 30-50% efficiency gains with our financial spreading solution, which achieves 95% data extraction accuracy, optimised for credit assessment and financial disclosures
15K
Monitor more than 15,000 covenants annually, including financial and non-financial covenants
10+
Credit + EWS is built on Crisil’s next generation data and analytics platform and implemented across 10+ banks
Latest thinking
Report Feb 07, 2025
Article Jan 14, 2025
GenAI usage for credit risk management increases as technology evolves
Report Sep 24, 2024
