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Solution Blueprint Intelligence Agent

Automatically generates structured, standards-aligned architecture descriptions from validated solution requirements.

Creating solution architecture documentation typically requires architects to manually interpret requirements, organize them into architectural structures, and ensure alignment with enterprise standards. This process is time-consuming, repetitive, and often inconsistent across teams.

The Solution Blueprint Intelligence Agent streamlines this process by converting validated business and technical requirements into clear, comprehensive architecture descriptions. It consolidates information from requirement documents and stakeholder inputs, then produces well-structured outputs that capture system layers, key components, their functions, dependencies, technology considerations, and deployment details.

The generated architecture descriptions follow organizational templates and standards, providing a consistent foundation that architects, engineering teams, and proposal writers can immediately act upon. The agent also highlights gaps, dependencies, and potential design risks to support faster iteration and decision-making.

By automating architecture documentation, the agent accelerates solution design, reduces manual effort, and ensures consistent, high-quality blueprints across proposals and delivery initiatives.

Accuracy
TBD

Speed
TBD

Input Data Set

Sample of data set required for Solution Blueprint Intelligence Agent:

Project Requirements: Digital Loan Origination Platform

Project Name: Project "Velocity" - Mobile-First Personal Loan Origination

Business Objectives:

  • Increase personal loan application volume by 25% within 12 months.
  • Reduce the average application processing time from 3 days to under 30 minutes.
  • Enhance customer experience by providing a seamless, fully digital application process.
  • Ensure compliance with all relevant financial regulations, including PCI-DSS and regional data privacy laws.

Key Stakeholders:

  • Jane Doe, Head of Retail Banking
  • John Smith, Chief Technology Officer
  • Priya Sharma, Chief Risk Officer

Functional Requirements:

  • FR-001: User Authentication: Users must be able to log in securely using their existing InnovateCorp mobile banking credentials (SSO).
  • FR-002: Loan Application Form: The system must present a multi-step digital form to collect personal information, employment details, and loan amount requested.
  • FR-003: Document Upload: Users must be able to upload supporting documents (e.g., pay stubs, ID) via their mobile device camera or file system.
  • FR-004: Credit Check Integration: The system must integrate with a third-party credit bureau API (Equifax) to perform real-time credit checks.
  • FR-005: Automated Decision Engine: A rules-based engine must provide an instant pre-approval or rejection based on credit score, income, and internal risk policies.
  • FR-006: E-Signature: Approved applicants must be able to electronically sign loan agreements within the app.
  • FR-007: Notifications: The system must send real-time push and email notifications to users regarding their application status (submitted, approved, rejected, funds disbursed).

Non-Functional Requirements:

  • NFR-001: Security: All data in transit and at rest must be encrypted using AES-256. The solution must be compliant with PCI-DSS v4.0.
  • NFR-002: Performance: API response times for user-facing actions must be below 500ms. The platform must support 1,000 concurrent application submissions.
  • NFR-003: Scalability: The architecture must be cloud-native and leverage auto-scaling to handle peak load times.
  • NFR-004: Data Privacy: The system must adhere to GDPR for European customers, including data access and deletion rights.

Stakeholder Comments:

  • (Priya Sharma): "The automated decision engine needs a robust fraud detection module. We cannot rely solely on the credit score. Please ensure this is factored into the design."

Deliverable Example

Sample output delivered by the Solution Blueprint Intelligence Agent:

Project: Velocity – Mobile-First Personal Loan Origination Platform

1. System Overview

The solution is a cloud-native, mobile-first digital loan origination platform that enables customers to authenticate, submit loan applications, upload documents, undergo automated credit evaluation, receive instant decisions, and complete e-signature formalities within a unified experience. The platform integrates with internal core banking services, third-party credit bureaus, and notification channels while ensuring compliance with security and regulatory requirements.


2. Layered Architecture Description

2.1 Presentation Layer

  • Mobile Banking App (iOS/Android) enhanced with loan origination modules.
  • Multi-step application UI for personal details, employment data, loan amount, and document capture.
  • Embedded e-signature interface for approved applicants.
  • Real-time push and email notification triggers integrated into the user experience.

3. Core Application Layer

3.1 Loan Origination Service

  • Manages application workflow states: draft → submitted → verified → decisioned → signed → disbursed.
  • Orchestrates form data, document uploads, credit checks, and decision engine requests.
  • Applies business validations and eligibility rules before submitting cases to downstream systems.

3.2 Document Management Module

  • Accepts uploads via mobile camera or file system.
  • Performs document format checks and metadata tagging.
  • Stores encrypted documents in secure cloud storage.

3.3 Automated Decision Engine

  • Executes rules for loan eligibility using applicant data, income benchmarks, product policies, and internal thresholds.
  • Integrates real-time credit score from Equifax.
  • Includes an embedded fraud-detection scoring component as requested by the Risk Officer.
  • Produces instant pre-approval or rejection decisions.

3.4 Notification Service

  • Sends status updates via email and mobile push.
  • Triggers events for application submitted, approved, rejected, and funds disbursed.

4. Integration Layer

4.1 Core Banking Integration

  • Secure API gateway to validate user identity via SSO.
  • Fetches existing customer profile, KYC status, and account details.
  • Sends approved applications to the core loan management system for disbursement.

4.2 Credit Bureau Integration

  • Outbound API call to Equifax for instant credit scoring.
  • Includes retry logic, SLA monitoring, and error fallback behavior.

4.3 E-Signature Integration

  • Connects to the enterprise-approved e-signature provider.
  • Generates loan agreement PDFs with pre-filled customer and product details.

5. Data Layer

5.1 Application Data Store

  • Stores application records, workflow states, and audit history.
  • Encrypted at rest using AES-256.

5.2 Document Storage

  • Secure blob storage for KYC documents, pay stubs, identity proofs, and signed agreements.

5.3 Audit & Compliance Logs

  • Centralized log stream for all user actions and system events.
  • Retention and access controls aligned with PCI-DSS v4.0 and GDPR.

6. Infrastructure Architecture

  • Cloud-native deployment using auto-scaling compute clusters.
  • API Gateway for secure access, throttling, and monitoring.
  • Managed database service with automated backups.
  • Observability stack for health checks, performance alerts, and traceability.
  • Encrypted communication via TLS 1.3 for all service-to-service interactions.

7. Component-Level Architecture View

7.1 Component Summary Table

Component Purpose Key Capabilities Interfaces
Loan Origination Service Orchestrates end-to-end application lifecycle Workflow, validations, data enrichment Mobile App, Core Banking, Decision Engine
Document Management Module Handles document intake and secure storage Metadata tagging, format validation, encryption Mobile App, Storage Service
Decision Engine Executes rules and automated approval/rejection Risk policies, income rules, fraud scoring, credit bureau integration Loan Origination Service, Equifax
Fraud Detection Submodule Prevents fraudulent applications Fraud scoring based on patterns & signals Decision Engine
Notification Service Sends status updates Push & email notifications, templating Mobile App, Email Gateway
Core Banking Connector Syncs customer profiles & disbursement actions SSO validation, customer data retrieval, loan disbursement triggers Core Banking APIs
Equifax Connector Performs real-time credit checks Score retrieval, retry logic, SLA management Equifax API
E-Signature Integration Enables agreement signing PDF generation, signature workflow E-Sign Provider
Application Data Repository Stores all application data Workflow states, audit, encrypted records All application components
Audit Logging Service Captures compliance logs End-to-end traceability All components

8. Security & Compliance Alignment

  • End-to-end encryption (AES-256 at rest, TLS in transit).
  • Role-based access control for internal services and administrative operations.
  • PCI-DSS v4.0 alignment for handling financial data.
  • GDPR-compliant customer data rights (access, correction, deletion).
  • Continuous monitoring with automated alerts for suspicious activity.

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