Enterprise Intelligence Architecture
A reference architecture for governed, memory-centric enterprise AI systems. Official book page
Author profile
Danny Francisco
Enterprise software engineer and technical author
Danny Francisco works on enterprise software architecture, distributed systems, and AI platforms. His technical writing examines how systems preserve state, coordinate work, enforce policy, and remain observable and supportable in production.
Areas of practice
- Enterprise software engineering
- System boundaries, integration, reliability, and long-term operation.
- Distributed systems
- State, workflows, failure handling, observability, and recovery.
- AI platforms
- Memory, model routing, governance, orchestration, and validation.
- Technical writing
- Architecture references, engineering books, and implementation guidance.
Books
AI-Native Software Development Lifecycle
Engineering methodology, governance, review, and verification for AI-assisted software delivery. Book repository
Agentic Engineering
Production agent systems, durable execution, bounded authority, and operational recovery. Book repository
Projects and architectural work
Open Intelligence Platform
An open-source implementation reference for enterprise memory, model routing, knowledge collections, gateway services, and architecture decisions. Project overview · Repository
Enterprise Intelligence Architecture source
The manuscript, diagrams, publication metadata, and build tooling for the first edition. Repository