1. Welcome to the AI Project Blueprint¶
What is this?
The AI Project Blueprint is a modular framework for setting up, executing and managing AI projects. It answers questions such as:
- How do I manage an AI project from idea to production? — A complete project lifecycle with gates, templates and evidence standards.
- How do I build responsible AI-driven software? — Principles for specification-first development, hard boundaries and continuous validation.
- How do I build an AI business case? — From validation pilot to value realisation, with measurable criteria per phase.
- How do I organise governance and compliance? — Roles, responsibilities, EU AI Act compliance and risk classification.
- How do I work with agentic AI systems? — Orchestration patterns, collaboration modes and safety frameworks for autonomous AI.
The framework is suitable for teams that build with AI (AI supports the development process) as well as teams that integrate AI into the product.
1. Your Blueprint for AI Project Management¶
This is the central documentation hub for successfully managing AI projects, based on the Core Principles of behavioural steering, traceability and human oversight.
2. Quick Start¶
- 🧭 Blueprint Navigator: Interactive wizard — find your starting point in 5 minutes.
- 🚀 Explorer Kit (30 Days): First AI prototype in 30 days — templates and day-by-day plan.
- Reader's Guide & Navigation: How to use this blueprint most effectively.
- Roles & Responsibilities: Who does what in an AI team?
- Quick Start: AI Project in 90 Days: Go directly from strategy to action.
- The Toolkit: All templates and checklists in one place.
- Download full blueprint (PDF): The complete AI Project Blueprint as a single PDF file.
3. Documentation Overview¶
Strategic Framework & Foundations¶
The AI Lifecycle (Phase Modules)¶
- Discovery & Strategy: Understanding the problem.
- Validation: Proving it works (Validation Pilot).
- Realisation: Building the solution (Specification-first).
- Delivery: Safe Go-live.
- Monitoring & Optimisation: Retaining value (Performance degradation).
4. For AI Agents & LLM Ingestion¶
Blueprint Assistant¶
The live site includes a Blueprint Assistant — a chat widget that answers questions about the Blueprint in Dutch and English, directly from the documentation (RAG + LLM).
MCP Server¶
The Blueprint is fully available as an MCP server with 31 tools for AI agents and Claude Code:
claude mcp add blueprint --transport http https://ai-delivery.io/mcp
Available workflows via MCP: Project Setup, Gate Review, Compliance, Template Advisor, session tracking, and semantic search. Call get_tool_cheatsheet() for a structured overview of all tools.
LLM Text Exports¶
| Format | Link | Use |
|---|---|---|
Index (llms.txt) |
llms.txt | Lightweight link index — compatible with Cursor, Perplexity, and other llmstxt-aware tools |
| Full content EN | llms-full.txt | All 130 pages concatenated, HTML/emoji stripped, typographic chars normalised to ASCII |
| Full content NL | llms-full-nl.txt | Idem in Dutch |
The full-text exports are regenerated on every push and follow the llmstxt.org convention.
5. About this Blueprint¶
The AI Project Blueprint is a modular, assessable methodology for setting up, executing and managing AI projects. The blueprint describes the full project cycle — from strategic discovery to operational management — and provides concrete templates, checklists and evidence standards with which organisations can deploy AI systems in a controllable, traceable and responsible manner.
More information: About the AI Project Blueprint | Version History
Case Studies: See how the blueprint is applied in practice in the Case Studies.
Authors: Frederik Vannieuwenhuyse, Hadrien-Joseph van Durme
Disclaimer
All information in this blueprint is purely informational and intended as a reference framework. The authors accept no responsibility for the outcome of AI projects executed on the basis of this material. Always consult domain experts for legal, technical and organisational decisions.