Technical Architecture · Commercial in confidence
Rulebook — Enterprise Intelligence Platform
AI-powered fee-schedule compliance & analytics architecture
A microservices, AI-first platform that ingests fee-schedule documents, understands them, and turns them into searchable, compliant, analysable intelligence — orchestrated end-to-end with LangGraph and a team of specialised AI agents.
Prepared for
Policy Check NZ
Attn. Andrew & Simon
Binder-policy compliance — reference architecture
Binder-policy compliance — reference architecture
Prepared by
Muhammad Asim — Founder & CEO
Codeaza Technologies, Islamabad, Pakistan
muhammadasim@codeaza.org · codeaza.com
muhammadasim@codeaza.org · codeaza.com
01System overview
Rulebook is an enterprise intelligence platform that transforms raw fee-schedule documents into accurate, compliant, and queryable knowledge.
Documents flow through a layered pipeline — intelligent extraction, multi-modal storage, LangGraph orchestration, and a set of specialised AI agents — surfacing real-time analytics, predictive insight, and proactive compliance alerts. The design is microservices-based for horizontal scale and compliance-first by construction, with validation and regulatory checks built into the flow rather than bolted on.
02Architecture at a glance
End-to-end platform: Data & Ingestion → Landing AI Intelligence → Storage & Retrieval → LangGraph Orchestration → Agentic Layer → LLM Pipeline → Intelligence & Insights → API & Delivery.
03Data processing layer
Ingestion & understanding
- Pre-processing pipeline — intelligent extraction and normalisation of fee-schedule data
- Landing AI integration — advanced document understanding and table extraction
- Entity recognition — automatic identification of fees, codes, and compliance terms
04Multi-modal storage layer
Store & retrieve
- S3 data lake — raw and processed document storage
- Elasticsearch — full-text search and semantic query capabilities
- Snowflake — structured analytics and reporting data
- Vector database — embeddings for similarity search and RAG
05Orchestration with LangGraph
Workflow control
- Workflow engine — complex multi-step processing pipelines
- State management — maintains context across agent interactions
- Decision trees — intelligent routing based on data characteristics
- Agent coordination — manages parallel and sequential agent execution
06Agentic layer — specialised AI agents
Fee Schedule Validator
Ensures data accuracy and compliance.
Chat Agent
Natural-language interface for fee inquiries.
Fee Finder Agent
Intelligent search across multiple schedules.
Analytics Agent
Generates insights and trends.
Compliance Checker
Validates against regulatory requirements.
Trend Analysis Agent
Identifies patterns and anomalies.
07LLM processing pipeline
Reasoning
- Multi-model support — GPT-4, Claude, and custom fine-tuned models
- RAG pipeline — context-aware responses using vector search
- Prompt engineering — optimised prompts for domain-specific tasks
08Intelligence & insights
Real-time analytics
Live dashboards and monitoring.
Predictive analytics
Forecast trends and identify opportunities.
Alert system
Proactive notifications for anomalies and changes.
09Key differentiators
Design
Scalable architecture — microservices-based design for horizontal scaling
AI-first approach — multiple specialised agents for domain expertise
Flexible storage — multi-modal storage supporting various query patterns
Assurance
Enterprise-ready — production-grade orchestration with LangGraph
Compliance-focused — built-in validation and regulatory checks
10Technology stack
Layer
Technologies
Orchestration
LangGraph, Apache Airflow
LLMs
OpenAI GPT-4, Anthropic Claude, custom fine-tuned models
Storage
AWS S3, Elasticsearch, Snowflake, Pinecone / Weaviate
Processing
Python, FastAPI, Celery
Infrastructure
AWS / Azure, Kubernetes, Docker
Built for scale. Compliant by design.
A production-grade, AI-first platform that turns fee-schedule documents into trustworthy, queryable intelligence — engineered by Codeaza Technologies for Rulebook.
Pattern
Microservices
Orchestration
LangGraph + Airflow
Storage
Multi-modal
Posture
Compliance-first
© 2026 Codeaza Technologies — Rulebook Enterprise Intelligence Platform, reference architecture v1. Commercial in confidence. · CDZ-2026-ARCH-RB · Muhammad Asim, muhammadasim@codeaza.org