AI for Financial Services

Applying AI advances to address core concerns common to all segments of financial services

Aganitha AI solutions address core concerns common to all segments of financial services - Retail Banking, Lending, Insurance and Wealth Management :

AIforFinancialservices

AI is not a capability to consume in a black box. Aganitha focuses on a transparent, partnership model that brings AI to the company rather than make customer service teams force fit their flow to work with AI platforms.

Accelerators and Solutions

Customer on-boarding
  • Automate KYC processes
  • Automate information validation
  • Quicken decision making
Customer service
  • Voice identification
  • Call intent prediction
  • Risk-based audit
 
Fraud detection & Risk management
  • Anomaly detection
  • Image comparisons
  • Debt collection
Regulatory compliance
  • Pre-filling of Reg submissions
  • Automated email alerts
  • Automated risk identification
 

Service Catalog

We take up projects with an objective to deliver business value beyond the SOW. We achieve this by applying latest advances in AI research to serve enterprise needs. Our flexible engagement models - SOW based, Outcome based, Risk/Reward based, Long-term partnership – enable clients to pick complex problems. Some examples below:

  • Building a automated routing system of incoming requests from email
  • Building a NLP based tool to extract sentiment from various channels such as chat, email, social media
  • Building an automated dashboard that flags calls with potential regulatory or brand dilution risks and provides insights for Business Process Reengineering (BPR)
We build specific product solutions to enhance existing tools by integrating AI modules, to connect existing tools through AI based RPA. We also develop customized solutions and integrate with existing processes. Some examples below:

  • Integration of ‘Call analysis’ modules to existing call centre managment systems to monitor calls and identify potential risks and opportunities
  • Incorporate Natural Language Generation (NLG) modules with existing Systems to generate regulatory submissions in a particular format
  • Building an automated email alert system for updates regarding competition, industry and regulations in an enterprise’s specific area of interest

We develop customized datasets by collating data from various sources such as open source datasets, patents, journal, academic papers using NLP techniques. We also set up and manage data pipelines originating from diverse data sources that feed AI models while maximizing computational efficiency. Some examples below:

  • Mining literature and social media using NLP techniques to build a database for risk management models
  • A weekly email alert summarizing the new articles, journals, patents published in relation to existing models’ infrastructure and architecture
Aganitha team has also built unique approaches of applying AI techniques in scenarios where only small datasets are available and in extracting knowledge graph for large scale modeling.

We evaluate processes and tools adopted across the enterprise value chain, identify opportunities where AI can bring in efficiencies, draft roadmaps to drive AI adoption maturity, partner with enterprise in adopting AI into operational processes.