AI-Powered Wealth Advisory Services for a Client from the USA

About The Client

The client is a financial services organization in the USA that wants to improve its wealth advising platform with scalable cloud-based infrastructure and AI wealth management. The platform is required to provide personalized advice experiences with strong security, control, and human monitoring.

Project Objective

The project intended to develop a secure and scalable platform, which would be able to:

• Deliver personalized AI financial planning experiences.
• Allow interactive portfolio and financial scenario analysis.
• Help advisors get AI-based client insights and recommendations.
• Provide one back-end to power online, mobile, advisor, and partner channels.
• Implement responsible AI controls pertinent to regulated financial services.

Project Details

Bloom designed and built an entirely serverless, AWS-native infrastructure to deliver the client’s AI-powered wealth management solutions. Amazon API Gateway provided a secure access point for several client channels. Modular AWS Lambda functions were used for onboarding, planning goals, portfolio simulations, and AI-powered explanations.

The generative AI layer was Amazon Bedrock, which orchestrated foundation models to generate personalized plan narratives, scenario comparisons, and adviser summaries.

Important Steps

• Created a serverless backend with Amazon Lambda and Amazon API Gateway.
• Integrated Amazon Bedrock so it can use generative AI in wealth management.
• Created customized financial plan explanations and interactive “what-if” scenarios.
• Drafted AI-generated adviser briefs, although human advisors remained involved in final decision-making and played a vital role.
• Centralized configuration with AWS AppConfig and Parameter Store.
• Used AWS Secrets Manager for storing sensitive credentials.
• Installed monitoring and tracing with Amazon CloudWatch and AWS X-Ray.
• Applied tailor-made AI validation to avoid guarantees, unsubstantiated claims, and non-compliant outputs.

Engagement Model

Bloom has been a distinguished technical partner in creating AI solutions for wealth management companies, integrating cloud architecture, generative AI, security, and responsible AI practices.

It was designed to be based on AWS security practices in the financial services area, and IAM, encryption, centralized logging, and audit trails, as well as Bedrock Guardrails, were used to create proper governance of AI-driven financial experiences. This approach also established the groundwork for scaling AWS AI solutions as the client’s platform matures.

Technology Highlights

• Amazon API Gateway
• AWS Lambda
• Amazon Bedrock
• AWS AppConfig & Systems Manager Parameter Store
• AWS Secrets Manager
• Amazon CloudWatch & AWS X-Ray
• AWS IAM & AWS KMS

Business Valued Delivered by Bloom

• Delivered scalable AI wealth management capabilities, eliminating the need for manual infrastructure capacity planning.
• Provided personalized explanations and comparisons of scenarios in financial plans to enhance customer engagement.
• Ensured Better productivity for advisors based on automatically created client briefs and next-best-action insights.
• Enabled fast feature testing over serverless architecture and feature-flagged AI behavior.
• Set the framework for expanding AWS AI offerings across consumer, advisor, and partner channels.
• Enhanced responsible AI governance with guardrails, output validation, and audit logs.

Market Significance

The solution illustrates the role of artificial intelligence in financial services in improving wealth advisory without eliminating human supervision. The platform offers an expandable basis for online advisory experiences that are personalized by combining AWS generative AI solutions with serverless architecture and responsible AI controls.

Results & Remarkable Outcomes

Today, the client has a scalable infrastructure that can accommodate traffic spikes during turbulent market periods without the need for manual capacity control. Advisors received AI-powered expertise to help with decision-making, while customers had more engaging and intelligible financial planning.

The architecture also sets the groundwork for future white-label and B2B2C expansion, allowing the client to roll out their AI wealth management solutions across various channels and markets.