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Accelerate your architectural design reviews with a multi-agent AI application that delivers instant, tailored feedback from multiple specialist perspectives. Reduce review cycles, enhance design quality, and free your architects to focus on what matters most.
At Retail Reply, we're constantly exploring how AI can meaningfully enhance enterprise architecture processes. In collaboration with a leading UK retail client, we’ve developed a multi-agent AI application designed to streamline the architectural design review process. By integrating AI-driven feedback and modular workflows, this application helps architects refine their High-Level Designs (HLDs) faster, with fewer iterations, delivering higher quality outcomes while reducing administrative burden.
The Problem: Inefficient Design Reviews
How the Application Works: Intelligent, Modular, and Customisable
Key Features and Benefits
Architectural design reviews are often a bottleneck, requiring coordination among multiple experts, leading to inefficiencies, inconsistencies, and delays. Design reviews are a critical but often cumbersome process:
• Finite amount of time that an Enterprise Architect or a Solution Architect can spend reviewing lengthy documentation.
• Frequent back-and-forth among stakeholders delays approvals.
• Infrequent review sessions create bottlenecks, risking missed details and project delays.
These inefficiencies slow project delivery and strain architecture teams. This new application addresses these exact pain points by automating feedback and accelerating the early design iteration cycle.
Built on a microservice architecture with advanced AI capabilities, the application combines several innovative technologies:
Retrieval Augmented Generation (RAG): Makes design documents searchable via vector embeddings, enabling precise, context-aware feedback.
Agentic Graph Framework: Uses a configurable network of AI 'reviewers' representing enterprise architects, security architects, and other personas. Each agent analyses specific sections of a document and collaborates with others to resolve conflicts or dependencies.
Supervisor Agent: Orchestrates the review workflow, ensuring feedback is gathered comprehensively and efficiently.
The process for users is simple:
• Sign in.
• Select or create a project.
• Upload a design document.
• Download itemised, prioritised feedback from a tailored panel of AI agents.
Core Features:
Multi-role, persona-based feedback.
Version tracking for iterative reviews.
Customisable review workflows.
Secure, scalable infrastructure.
Easy feedback navigation.
Value Delivered:
Speeds up HLD approval cycles.
Reduces costly review iterations.
Ensures feedback reflects multiple specialist perspectives.
Detects potential issues early, lowering project risks.
Enhances document quality and best practice adherence.
Scales effortlessly as demand grows.
This application has been co-developed and tested in close collaboration with a number of our UK retail clients, ensuring real-world value alignment. Feedback has highlighted:
• Significant time savings for architects.
• Better document completeness before formal reviews.
• High appreciation for the modular, customisable nature of the review agents.
By introducing AI-supported multi-agent reviews, we’re helping organisations tackle architectural bottlenecks today while laying the foundation for more intelligent, automated processes in the future.