Ai Consulting Services

Project: Fraud Detection Models

• Capability: Build an AI model that identifies fraudulent claims.

• Actionable Steps: Analyze historical data to identify fraud patterns. Implement machine learning algorithms that predict fraud likelihood. Work with small insurers first to develop a proof of concept.

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Project: Develop a predictive analytics model to assess risk in underwriting processes;

• Capability: Predictive Risk Analysis.

• Actionable Steps: utilizing historical data for better risk estimation.

Project: Credit Risk Scoring

• Capability: Create an AI-powered system to predict credit default risks.

• Actionable Steps: Utilize AI for credit risk assessment, focusing on analyzing customer behavior and transaction data. Offer these models to smaller financial institutions as a pilot project.

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Project: Create a machine learning model to detect fraudulent transactions in real time.

Capability:  Fraud Detection System**

Actionable Steps: Conduct a pilot project with a local bank to implement the model, emphasizing low-cost data integration from existing systems.

Project: Customer Churn Prediction

• Capability:  Build a model to predict customer churn and identify factors driving customer dissatisfaction.

• Actionable Steps: Provide a consultation service to analyze current customer data and offer actionable insights through an interactive dashboard.

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Project: Customer Churn Prediction

• Initiative: Develop AI models that predict when customers are likely to leave a service.

• Actionable Steps: Use historical customer data to build machine learning models that analyze patterns of customer disengagement. Start with regional telecom providers to test the model's accuracy.

Project:  Design a chatbot that assists patients in scheduling appointments, answering FAQs, and providing preliminary diagnostics based on symptoms.

• Capability: Telemedicine Chatbot

• Actionable Steps: Partner with a small healthcare clinic to develop and test the chatbot, using real patient interactions to enhance its capabilities over time.

Project: Assist hospitals in implementing AI tools for diagnosing conditions based on medical imaging.

• Capability: AI-driven Diagnostic Tools

• Actionable Steps: Partner with local clinics or radiologists, apply AI tools to help identify issues such as early cancer detection, and create a case study from the initial pilot.

Project: Implement natural language processing (NLP) solutions to automate the processing of documents and forms for government agencies.

• Capability: Document Processing Automation

• Actionable Steps: Seminar to showcase how NLP can streamline workflows and improve citizen engagement, high

Project: AI for Predictive Maintenance

• Initiative: Implement AI solutions that predict when public infrastructure (e.g., roads, bridges) requires maintenance.

• Actionable Steps: Work with municipal governments to pilot predictive maintenance AI tools for public infrastructure. Provide dashboards and data visualization to show the cost benefits of early intervention.