Overview

The financial services sector is facing a lot of disruptions with factors such as reduced profitability, digitization of services , evolution of generative AI and the impact of pandemic continues to be felt globally. 

Sirius AI can help financial institutions navigate the uncertainty and embed AI into their core functions using automation, improve personalization for customers, increase productivity and keep pace with the changing compliance standards.

SiriusAI Services

Drive revenue growth, reduce cost, manage risk and comply with regulatory mandate

Wealth & Asset Management

  • Sales and Distribution Insights engine
  • Client and FA Predictive insights
  • Intelligent Client Experience
  • Digital and Offline Client Acquisition engine
  • Pricing Engine and Insights
Wealth & Asset Management

Retail Banking

  • Digital acquisition engine and Customer Insights using 360 Data ecosystem
  • Optimize Marketing campaigns with external data insights
  • Generative AI and ML solution for Next best action and new interface for employees
  • Regulatory Reporting: Automated identification of key changes
  • Machine learning and Graph based Fraud prevention solution
Retail  Banking

Commercial & Corporate Banking

  • Generative AI and ML based RM assist engine
  • Custom Machine learning models to identify NBA for B2B clients
  • Digital Acquisition engine for B2B prospects
  • Optimal product mapping to B2B Customers
Commercial & Corporate Banking

Payments

  • Issuer Insights
  • Network Provider Insights
  • Merchant Insights
  • Acquirer Insights
  • Fintech Industry Trends
Payments

SiriusAI Solutions

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Relationship Management Assist

  • AI driven engine for relationship managers to improve their productivity and client engagement effectiveness
  • Unified interface for all AI outcomes & insights for RMs
  • Integrated with existing CRM/Sales platforms

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Customer Experience Insights

  • Understand and act on customer feedback from unconventional sources
  • AI engine to acquire direct customer feedback from web and apps
  • Keen insights which are differentiated from direct customer surveys

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Customer 360 Insights

  • Generative AI driven insights engine for multiple users in the organization from Customer service, acquisition to operations
  • Enable access to structured data sources for non-technical roles

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Wealth & Asset Insights Lens

  • Deep Client profiling to understand client investment preferences, growth opportunity
  • Exploratory engine to identify acquisition targets and targeted offers
  • Define expansion strategy or do share of market analysis with competition

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Digital Acquisition Engine

  • Personalized micro-targeting for your “Ideal Prospect” using AI + 3rd party data sources
  • Reduce CPA and improve profitability of portfolio

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Knowledge Search

  • Converse and find crucial information from unstructured data documents and transcripts

Our Engagement Lifecycle

Ideate

  • Identify the problem
  • Understand expectations from solution
  • Define Solution and value proposition
  • Research and Evaluate possible alternates

Scale

  • Identify opportunity for scaling the solution
  • Evaluate applicability to other business verticals
  • Make customizations to the current solution

Co-create

  • Design thinking workshops to co-develop
    MVPs or Pilots
  • Feasibility assessment of initiatives
  • Incorporate feedbacks and suggestions
  • Prioritize the initiatives with highest impact

Enhance

  • Learn from the outcomes and Improve current deployments
  • Identify other areas of potential improvement

Our Engagement Lifecycle

Ideate

  • Identify the problem
  • Understand expectations from solution
  • Define Solution and value proposition
  • Research and Evaluate possible alternates

Co-create

  • Design thinking workshops to co-develop
    MVPs or Pilots
  • Feasibility assessment of initiatives
  • Incorporate feedbacks and suggestions
  • Prioritize the initiatives with highest impact

Scale

  • Identify opportunity for scaling the solution
  • Evaluate applicability to other business verticals
  • Make customizations to the current solution

Enhance

  • Learn from the outcomes and Improve current deployments
  • Identify other areas of potential improvement