Solution Highlights

Cognitive Solution for Consumer Banking

Solution supports AI/ML models for customer acquisition, engagement, lending & collection resulting in improved revenue & profitability. Solutions includes blockchain federated distributed ledger for multiple organizations to collaborate over private blockchain network.

Cognitive Solution for Banking Operations

Solution supports AI/ML models for Regulatory & Compliance (RegTech), Treasury, Insurance Tech & payment areas.

Cloud Native Solution

Solution is built as cloud native platform suitable for public, private of hybrid cloud infrastructure. Platform has built in capabilities for scalability, resilience & agility for quick response to customer feedbacks. Solution support both realtime and batch processing stack to enable different use case scenarios.

Innovative Engagement Model

Our innovative DeepTech as a Service engagement model reduces required upfront investment & jumpstart customer AI journey. Service offering includes AI Consulting, System Integration, ML Model development, deployment, governance and operations services to enable customer to focus on their key business.

Solution Features

Model Lifecycle Management Support

Model Life Cycle Management – Solution support AI model life cycle management for different stages like Data Gathering & Preparation, Model Training, Model Evaluation, Model Deployment and Model Governance. This enables seamless exploring and deployment of multiple AI models.
Workload Manager Integration – Solution integrates with industry leading workload managers (e.g . Slurm) enabling hardware resource allocation, monitoring and auditing for various model training and inference tasks.
GPU Acceleration Support : Solution has built in support of using NVIDIA CUDA and cuDNN Software for training and NVIDIA TensorRT for inference activities, enabling solution component to make use of available GPU infrastructure.

AI enabled Lending - Cognitive Lending

Solution supports prebuilt and custom credit models using varied data sources like demographic data, credit bureau data, mobile data, macro-economic data, and alternate data suitable for various target customer profiles..
Solution supports a comprehensive fraud model using varied approaches like anomaly detection, behavioural analytics, network or link analytics, and analytics using the user’s mobile number, email address, location, IP address, digital footprint, etc.
Solution enables flexible ensemble from available models and algorithms, resulting in a score card with increased strength and interpretation.

AI in Collections and Recovery

The collection and recovery process is striving for technology intervention to improve both business outcomes and customer experiences during the collection phase.
Solution supports prebuilt and custom models for selecting the right collection strategy and collection action; selecting the right day/time, channel, and message for customer intervention (including selecting the right human agent); and improving collection efficiency and customer experience.
Deep reinforcement learning-based models have shown great potential for deriving personalised collection approaches that maximise long-term outcomes.

AI in Customer Engagement

Customers now expect personalised engagement from financial institutions. Using the right AI technology components can help FI engage with customers across different phases of the customer lifecycle.
Propensity modelling can help focus on customers that are likely to buy services; uplift modelling can suggest the right intervention for customer conversion; and churn modelling can help retain customers.
The CFS Solution supports in-built and custom propensity models, uplift models, churn models, and recommend models for effective customer engagement.

AI in Business Operations

CFS Solution supports AI/ML models for business operations in Regulatory & Compliance (RegTech), Treasury and Insurance verticals.
CFS solution enables customized text, voice and multimodal Generative AI models to be deployed for use cases like Intelligent customer support, insurance claim processing, Risk Management etc.

Business Matrix Impact