At zeb, we understand the challenges fintech companies face in streamlining processes, mitigating risks, and maximizing revenue opportunities. That's why we've developed the AI-Powered Fintech Transformation Program - to revolutionize your fintech operations with automated processes that accelerate efficiency, accuracy, and revenue generation.

Our program leverages cutting-edge AI solutions to automate and optimize key areas of your fintech operations. We accelerate loan approvals, expedite claims processing and invoice handling, swiftly resolve disputes, and optimize deals and negotiations with dynamic pricing strategies for real-time revenue maximization. At zeb, we begin by conducting a thorough assessment of your specific needs and objectives, allowing us to tailor the development and implementation of AI solutions for maximum impact, ensuring transformative results across your operations.

Key features depending on your specific needs and objectives:

• Automated Underwriting: Accelerate loan approval processes with AI-powered assessment of risk factors and eligibility criteria, enabling faster decision-making and improved customer experience.

• Claims/Invoice Processing: Expedite claims processing and invoice handling with AI-driven automation, reducing processing time and enhancing operational efficiency.

• Dispute Resolution: Resolve disputes swiftly and fairly using advanced dispute resolution algorithms, enhancing customer satisfaction and retention.

• DSP AI Negotiator: Optimize deals and negotiations with dynamic pricing strategies for real-time revenue maximization, ensuring competitive advantage and maximized profitability.

• Comprehensive Infrastructure Setup: Crafting a customized architecture that leverages AWS services, including Amazon SageMaker, Amazon Bedrock, and other relevant offerings, for seamless model development, training, and deployment.

• Efficient Model Training: Utilizing AWS Trainium instances for cost-effective and high-performance training of AI/ML models.

• Integration and Deployment Support: Ensuring smooth integration of your custom AI models into existing systems.

• Ongoing Support and Optimization: Providing continuous assistance to refine and enhance your AI models, ensuring they evolve with your business.

Deliverables depending on your specific needs and objectives:

• Future-state Architecture Diagram: A comprehensive architectural blueprint outlining the integration of AWS services, including Amazon SageMaker, Amazon Bedrock, and other relevant offerings, tailored to your fintech operations.

• Total Cost of Ownership (TCO) Estimation: Utilize our pre-configured AWS Pricing Calculator to provide a precise projection of the operational expenses associated with the proposed solutions.

• Integration and Deployment Support: Ensure seamless integration of the AI solutions into your existing systems and workflows, with guidance on deployment strategies for optimal performance and scalability.

• Ongoing Monitoring, Optimization, and Support: Benefit from continuous monitoring, fine-tuning, and enhancement of the AI models, ensuring they adapt to evolving business needs and the latest AI advancements.

• Custom Scoped Solution Development based on your specific needs and objectives:

  • Automated Underwriting Solution: Implement AI-powered models to accelerate loan approval processes by assessing risk factors and eligibility criteria, enabling faster decision-making and improved customer experience.

  • Claims/Invoice Processing Automation: Deploy AI-driven automation to expedite claims processing and invoice handling, reducing processing time, improving accuracy, and enhancing operational efficiency.

  • Dispute Resolution Solution: Leverage advanced dispute resolution algorithms to resolve conflicts swiftly and fairly, enhancing customer satisfaction, retention, and overall brand reputation.

  • DSP AI Negotiator Solution: Optimize deals and negotiations with dynamic pricing strategies for real-time revenue maximization, ensuring a competitive edge and maximized profitability.

  • Generative AI Model Development: Collaborate with our AI/ML experts to design and develop custom generative AI models, leveraging Amazon Bedrock and Trainium instances.

Timeline

The assess and road mapping phase typically spans approximately 2 weeks, the implementation activities may require 8-12 weeks (depending on the scope, size of product and availability of your project sponsor and technical teams).

Next Steps

Our typical next steps involve showcasing our previously implemented solutions, submitting a proposal for implementation services, including future-state architecture recommendations, technical design and implementation, testing, and production cut-over.