Decision automation helps enterprises make better, faster, error-free, and people-independent decisions thereby allowing exponential growth while ensuring compliance, minimizing risks, and reducing cost of operations.
Decision automation uses artificial intelligence (AI), decision keys (data/metrics/indicators etc.), and business rules to help organizations automate the decision-making process across multiple areas.
Decision automation is the foundation that enables adoption of AI and transformation of business processes and products. It acts as the most important driver to accelerate the digital journey.
While decision automation helps in adopting cutting edge AI solutions, they also enable enterprises to automate simple if-then-else rules used by human experts. And in many cases, decision automation solutions help create a happy marriage between AI solutions and intuitive human expertise.
Common problems:
Difficulty for business users to build their own decision rules (if-then-else logic) using multiple data inputs and predictions from machine learning models.
Unavailability of pre-built (industry and function-specific) metrics or decision keys which are often used by business users to make decision rules (example – Loan to Value, Fixed Income to Obligation, Max DPD, Promise to Pay, Risk Adjusted Premium, Average Ticket Size, Perfect Order Rate, etc.)
Long lead time to connect multiple systems which provide the input data for building decision rules.
Difficulty in integrating decision rules with business systems like Loan origination systems, Collection management systems, ERP, Point of sales systems, CRM, Lead management systems etc.
Challenges in ensuring scalability to automate large volumes of decisions and ensuring promised response times.
Challenges in measuring the effectiveness of the decision rules.
Challenges in tracking and monitoring the performance of machine learning models which form part of decision rules.
Challenges in ensuring explain-ability of decisions and regulatory compliance that are required to adopt an automated approach to decision making (example – adverse action code, CFPB compliance for offers etc.)
Lack of pre-built machine learning models and decision rules for common use cases like credit decisioning, collection prioritization, offer identification, cross-sell, marketing alerts, risk alerts etc.
LeoPulse is the one stop decision automation solution
Multi Connector
Pipes to connect to multiple systems to obtain the input data that is required to build and deploy business rules.
Decision Key Tools
Utility to build decision keys which can be used by business users to create their own decision rules.
Pre-built Decision Keys
An extensive set of pre-built decision keys for Banking, Lending, Insurance, Retail, eCommerce and Manufacturing.
Drag-and-drop
A drag-and-drop canvass for business users to create decision rules. Easy and intuitive interface that has been built keeping in view the needs of business users.
Feature Libraries
Feature libraries for common data sources like Credit Bureaus, Loan application, Bank statement, Income tax return, GST return, Utility bill etc.
Utility
Utility to parse Credit Bureau Reports, Bank Statements, Income Tax Returns, GST Returns, Medical Reports etc.
Machine Learning
Comprehensive utility to register and deploy machine learning models.
Track & Monitor
Utility to track and monitor machine learning models – stability, discriminatory power, accuracy, variable stability, and changes in predictive pattern of variables.
Flexible Integration
Expose decision rules as APIs that can be very easily integrated with any system.
Scalability
Scalability and performance guarantee.
Hosting and security
LeoPulse can be hosted on your on-premise servers or on your private cloud servers which ensures that you have complete control of your data and do not need to worry about data going out of your secured servers. It can also be used as SaaS solution from the Leobrix cloud. We offer the maximum security and flexibility to address all your data security and data privacy requirements.
