Solutions by Industry

Lightblue Cognitive Solutions delivers solutions across the following respective industries. We have included a non exhaustive list of example use cases and / or applications of AI per industry to demonstrate the art of the possible.


  • Fraud Detection: The use of analytics and algorithms to identify and prevent fraudulent transactions.
  • Credit Risk Assessment: The evaluation of a borrower’s likelihood to default on loan obligations.


  • Algorithmic Trading: The use of algorithms to execute trades at high speed and volume based on predefined criteria.
  • Investment Strategies: Plans and methods devised to allocate assets and manage risk to achieve financial goals.
  • AI-Driven Financial Planning: The application of artificial intelligence to customize financial planning and advice.
  • Advisory Services: Professional services providing strategic investment recommendations and financial planning advice.
  • Loan Underwriting Automation: The use of automated systems to evaluate and process loan applications more efficiently.


  • Policy Schedule Ingestion: The process of digitally capturing and integrating policy details into an insurance system.
  • Underwriting Automation: The application of technology to streamline the insurance underwriting process, enhancing efficiency and accuracy.
  • Claims Automation: The use of automated systems to process insurance claims, reducing processing time and improving customer service.


  • AI-Powered Analytics for Market Research: Leveraging AI to uncover trends, preferences, and opportunities in the market.
  • Recommendation Engines: Systems that suggest products or services to users based on analysis of data.
  • Basket Analysis: Analysing customer purchase histories to identify opportunities for cross-selling, up-selling, and down-selling.
  • Customer Retention: Strategies and practices aimed at keeping customers engaged and continuing to purchase.
  • Customer Lifetime Value Prediction: Estimating the total value a customer will bring to a business over their lifetime.
  • Churn Prediction: Identifying customers at risk of discontinuing their use of a service.
  • Demand Forecasting: Predicting future customer demand for products or services to optimize supply chain and inventory levels.
  • Inventory Optimisation: Using data analysis and forecasting to maintain the ideal stock levels.
  • Dynamic Pricing Strategies: Adjusting prices in real-time using AI, based on market demand, competition, and other factors.
  • Finding Store Location: Analysing geographical and demographic data to select optimal locations for new stores.


  • Predictive Maintenance: AI predicts when machines require maintenance to prevent downtime.
  • Quality Control: AI-driven image recognition for defect detection and quality assurance.


  • AI in Diagnostic Imaging and Analysis: Employing artificial intelligence to enhance the accuracy and efficiency of medical imaging interpretation.
  • Patient Data Management : Streamlining the organization and accessibility of patient information for healthcare providers.
  • Predictive Health Analytics: Utilising data analysis to forecast health outcomes and inform preventative care strategies.

Human Resources & Talent Management

  • AI-Based Recruitment and Candidate Screening: Leveraging artificial intelligence to streamline the identification and evaluation of potential candidates.
  • Employee Performance Analytics: Analysing data to assess and improve employee performance and productivity.
  • Automated Onboarding and Training Programs: Utilising automation to enhance the efficiency and effectiveness of employee onboarding and training processes.

Smart City &Infrastructure Management

  • Traffic Flow Optimisation and Public Safety Solutions: Leverage AI to improve traffic management and enhance public safety measures.
  • Energy Consumption Analysis and Optimisation: Analysing and optimising energy use to enhance efficiency and sustainability.
  • Waste Management and Environmental Monitoring: Utilising technology to improve waste management practices and monitor environmental health.

Technology Companies

  •   Infuse AI into their existing solutions