APPLIED AI PROTOTYPE • MVP & POC RELEASE

Multi-Asset Wealth & Robo-Advisor AI Platform

Agentic GenAI infrastructure for multi-asset portfolio analytics, dynamic NL-to-SQL query generation, and Privacy-Preserving RAG. Engineered with strict data anonymization safeguards to ensure **zero client data leakage** to foundation LLMs.

Orchestration MCP & Gemini APIs

Privacy Layer PII Tokenization Gateway

Asset Support Equities, Bonds, Crypto, Gold

Test Privacy-Preserving Simulator View Security Architecture

SYSTEM ARCHITECTURE STATUS: ACTIVE

MCP Protocol v1.2

1. Client NL Prompt: Contains Confidential PII

↓ Pass Through Privacy Gateway

2. Tokenizer Gateway: [Anonymized Prompt]

↓ MCP Server Routing

3. LLM (Gemini API): Generates Dynamic SQL / Tool Calls

↓ Secure Local Execution

4. Context Re-Hydration: Secure Executive Response

Tested during Google & Kaggle Intensive GenAI Program; updated to Enterprise MCP Standard.

System Maturity Blueprint

Evolution from Local GenAI Prototype to Enterprise MCP Infrastructure

How Blue Bits and Bytes modernizes AI prototypes into secure, enterprise-grade wealth advisory tools.

PHASE 1 • CAPSTONE PROTOTYPE

Dynamic SQL Function Calling

SQLite Base

1 Gemini NLP Orchestration: Natural language translated to raw SQL queries generated on-the-fly.
2 Direct Database Access: SQL execution over local isolated SQLite tables (Customer, Portfolio, Assets).
3 Live Market Data Feeds: Direct ticker lookups from Yahoo Finance for real-time equity & Beta values.
4 Basic Parameter Isolation: Direct filtering using static customer IDs and risk tolerance scores.

Original Stack: Python 3.11 • Gemini Function Calling • SQLite • Yahoo Finance API • Pandas / NumPy

CURRENT ENTERPRISE SPECIFICATION

PHASE 2 • PRODUCTION MCP INFRASTRUCTURE

Model Context Protocol (MCP) + Azure Search

✓ Standardized MCP Tooling: Decoupled MCP Servers connecting LLMs securely to external financial datastores without exposing raw schemas.
✓ Azure AI Search Vector Index: Hybrid semantic vector RAG over regulatory filings, bond prospectus documents, and macroeconomic indicators.
✓ Zero-Leakage Privacy Gateway: Inbound prompts undergo PII/PCI masking and cryptographic token mapping before hitting model endpoints.
✓ Multi-Source Tool Ecosystem: Pluggable server tools for Equities, Fixed Income YTM, Gold ETFs, and Crypto Wallet Indexing.

Production Architecture: MCP Server Specification • Azure AI Search • Anonymization Gateway • Gemini 1.5 Pro / Flash • Enterprise Vector RAG

ENTERPRISE SECURITY & COMPLIANCE GUARDRAILS

Zero Data Leakage: Protecting Confidential Wealth Data in AI Interactions

Wealth management requires strict adherence to global data residency, SEC/FINRA regulations, GDPR, and the EU AI Act. Our proprietary architecture guarantees that **no sensitive PII, account balance, or transaction history ever leaves your secure cloud perimeter** during conversational LLM calls.

1. Inbound PII Masking & Tokenization Gateway

Names, account IDs, SSNs, and wallet addresses are transformed into cryptographic tokens prior to prompt dispatch. The foundation model only operates on synthetic tokens.

2. Privacy-Preserving Retrieval Augmented Generation (RAG)

Vector indices inside Azure AI Search enforce row-level security (RLS). Prompts query contextual vectors without transmitting raw document payload to external networks.

3. Immutable Governance Audit Logging

Every agent reasoning chain, tool execution, and SQL parameter payload is logged into a tamper-evident audit ledger for regulatory compliance reviews.

Data Anonymization Pipeline Architecture

EU AI Act Compliant

STAGE 1: RAW USER PROMPT (CONFIDENTIAL) Inside Bank Perimeter

"Evaluate portfolio performance for Kapil Gupta (Account ACC-99201) with $1,250,000 in Tech Equities."

↓ Tokenization Engine: Replaces PII with Vault Mapping Keys

STAGE 2: ANONYMIZED PROMPT SENT TO GEMINI API Zero PII Transmitted

"Evaluate portfolio performance for [USER_REF_771] (Account [ACCT_TOKEN_A4]) with asset class allocation [EQUITY_SLOT_1]."

Governance Framework Compliance Coverage:

GDPR Art. 32 SOC2 Type II EU AI Act High Risk SEC Rule 204

Institutional Asset Support

Multi-Asset Class Portfolio Analytics Engine

Real-time risk scoring, yield evaluations, and historical stress-testing across diverse asset classes derived from our core database schemas.

Equities & ETFs

Real-time valuation, price-to-earnings (P/E), and historical Beta sensitivity calculations.

Real-time Ticker: Yahoo Finance API

Risk Analytics: Beta vs Market

Fixed Income & Bonds

Coupon rate tracking, Yield-To-Maturity (YTM) modeling, and credit rating evaluation.

Benchmarks: US 10Y (4.26%)

Local Sovereign: IN 10Y G-Sec (6.36%)

Gold & Commodities

Inflation hedge allocation algorithms and Gold ETF tracking for macro stability.

Hedging Model: Macro Volatility

Pricing Source: Commodity Feeds

Digital Assets & Crypto

Wallet address tracking, transaction hash indexing, and risk-adjusted crypto allocations.

On-Chain Tracking: BTC / ETH Wallets

Risk Indexing: High Volatility Guard

INTERACTIVE AGENT SANDBOX

Experience Privacy-Preserving Agentic Advice

Select a scenario query below to see how raw confidential user inputs are anonymized prior to Gemini model inference and local MCP tool execution.

Select Test Advisory Query:

Execution Guardrails Active:

PII Masking Gateway: ENABLED

Dynamic SQL Sanitizer: ENABLED

Azure Vector Search: CONNECTED

BlueBits_AI_Orchestrator.py — Privacy Gateway

0 Data Leakage

[1] Raw Client Input (Confidential Bank Perimeter):

"Check Kapil's portfolio returns across Equities and Gold ETFs."

[2] Anonymized Prompt Sent to Gemini API Endpoint:

"Evaluate portfolio returns for [USER_ID_882] across asset_class IN ('EQUITY', 'GOLD_ETF')."

[3] Dynamic SQL & MCP Tool Call Generated on the Fly:

SELECT asset_type, ticker, buy_price, current_price, ((current_price - buy_price)/buy_price)*100 AS return_pct FROM PortfolioAssets WHERE cust_id = '882' AND asset_type IN ('EQUITY', 'GOLD_ETF');

[4] Re-Hydrated Explainable Advisory Output:

Portfolio Performance Summary for Client:
• Tech Equities: +14.2% weighted yield (Beta: 1.15 vs S&P 500).
• Sovereign Gold ETF: +6.8% annualized inflation hedge.
• Recommendation: Rebalance 5% from equities into Fixed Income (US 10Y @ 4.26%) to maintain target risk tolerance.

COMMERCIAL & ADVISORY ENGAGEMENT

Accelerate Your Enterprise AI & Wealth Advisory Strategy

Whether you are deploying agentic GenAI prototypes, evaluating the Cost of AI Framework (CoAI™), or establishing governance for regulated wealth platforms, Blue Bits and Bytes™ delivers executive-level technical advisory.

1. Advisory Review

Audit existing LLM pipelines for PII compliance and data privacy risk.

2. MCP Migration

Transition local SQL function tools into production Model Context Protocol servers.

3. Custom AI POCs

Build bespoke GenAI agents tailored for financial and insurance platforms.

Schedule a free discussion