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
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:
Key Stakeholders:
Functional Requirements:
Non-Functional Requirements:
Stakeholder Comments:
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
| 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 |
Identifies emerging high-value customer segments and recommends optimized upsell and cross-sell focus areas.
Streamlines post-approval proposal processing by updating core systems and generating audit-ready compliance records.
Consolidates and interprets customer engagement, sentiment, and intent signals to unlock actionable post-proposal sales opportunities.
Aggregates and analyzes feedback from post-proposal engagements to inform ongoing account strategies and service improvements.
Orchestrates guided trade intake, data extraction, auto-population, and real-time validation for accurate, efficient trade management.
Validates trade approvals and policy compliance using LLM intelligence, and sends real-time email alerts when a trade is ready or requires action.