Abstract
Our AI Factory introduces a disciplined, industrial-grade operating model that converts data into measurable business intelligence. This whitepaper outlines a technology-neutral architecture, key roles, and a phased roadmap to scale AI responsibly. Learn how to move from isolated pilots to a repeatable, governed system that delivers dependable AI capabilities embedded in your operations.
Built on principles of governance, traceability, and economic discipline, the AI Factory integrates data supply chains, model lifecycle management, and human-in-the-loop processes to ensure trust, scalability, and continuous improvement across enterprise AI initiatives.
Key Insights
Many AI projects fail in “pilot purgatory.” Our AI Factory introduces a disciplined, industrial-grade operating model that transforms fragmented experiments into repeatable, governed AI capabilities embedded in business workflows.
The AI Factory connects data supply chains, model lifecycle, runtime orchestration, governance, and human-in-the-loop processes into a modular system. This architecture ensures traceability, reliability, and continuous improvement across enterprise AI deployments.
Our AI Factory roadmap de-risks enterprise adoption through structured phases. It begins with two high-value use cases and a minimal platform, then scales to a portfolio of 5–8 use cases within 180 days. Each phase embeds governance, observability, and cost controls to ensure measurable business impact and sustainable growth.
