Overview
A financial services firm needed an intelligent advisory system that could handle the full spectrum of personal finance — from day-to-day budgeting to investment research and portfolio construction. Rather than building a single monolithic AI, we designed a multi-agent architecture that mirrors how professional advisory firms operate: specialized agents coordinated by an orchestrator.
The system routes each client query to the right specialist — a budget agent for spending analysis or an investment agent for market research — then synthesizes their outputs into coherent, personalized advice. Built-in guardrails ensure responsible financial guidance with content filtering, compliance safeguards, and mandatory disclaimers.
Multi-Agent Architecture
1. Budget Agent — Personal Finance Specialist
Handles personal budgeting and spending analysis using the 50/30/20 framework. Breaks down income into needs, wants, and savings, then analyzes spending patterns against benchmarks to deliver actionable recommendations.
- Budget Breakdown — 50/30/20 allocation for any income level
- Spending Analysis — Pattern detection with personalized recommendations
- Financial Calculator — On-the-fly calculations for savings goals and projections
2. Financial Analysis Agent — Investment Research Specialist
Focuses on investment research, portfolio management, and market analysis. Retrieves real-time stock data, generates risk-adjusted portfolio recommendations, and compares multi-stock performance over configurable time periods.
- Stock Analysis — Real-time data retrieval with comprehensive performance metrics
- Portfolio Construction — Risk-based diversified portfolio recommendations
- Performance Comparison — Multi-stock comparison over custom time periods
3. Orchestrator Agent — Intelligent Coordinator
Routes client queries to the right specialist, coordinates multi-agent workflows for complex requests, and synthesizes outputs into coherent advice. Maintains conversation context across agent interactions for seamless follow-up questions.
- Intelligent Routing — Determines which specialist agent handles each query
- Response Synthesis — Combines outputs from multiple agents into unified advice
- Context Retention — Maintains conversation memory across agent handoffs
Architecture & Infrastructure
The platform is built on a serverless, production-ready architecture using Amazon Bedrock AgentCore for agent runtime management. Each agent operates independently with its own tools, while the orchestrator manages routing, synthesis, and context sharing.
AI & Agents
Strands Agents framework, Claude 3.7 Sonnet via Bedrock, multi-agent orchestration with tool routing
Data & Analytics
Real-time market data via yfinance, pandas for financial analysis, matplotlib for visual reporting
Safety & Compliance
Bedrock Guardrails with content filtering, crypto investment blocking, prompt attack prevention, mandatory disclaimers
Observability
OpenTelemetry distributed tracing, CloudWatch monitoring, structured logging across agent workflows
Responsible AI & Guardrails
Financial advice carries inherent risk, so the platform includes multi-layered safety controls powered by Amazon Bedrock Guardrails:
Content Filtering
Blocks harmful, misleading, or off-topic content
Domain Restrictions
Prevents cryptocurrency and speculative investment advice
Prompt Protection
Defends against injection attacks and jailbreak attempts
Disclaimers
Mandatory financial advice disclaimers on all outputs
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