What is PRD?

Explained

A PRD aligns stakeholders on goals, non-goals, user stories, and success metrics. In spec-driven and AI initiatives, a crisp PRD feeds acceptance criteria, eval rubrics, and system prompts so model behavior matches intended outcomes.

Further reading

• Enterprise AI Transformation: A Strategic Roadmap for Competitive Advantage
• AI-Native Application Development: A C-Suite Guide

Related terms

• Acceptance Criteria Testable conditions that define when a feature or model output is “done” and correct.
• AI Bill of Materials Inventory of model lineage, datasets, dependencies, and licenses for an AI system.
• AI Governance Framework of policies, processes, and controls for responsible and ethical AI use in the enterprise.
• AI Native Architecture and processes designed from the ground up for AI, not as an afterthought.
• CRM System for managing customer relationships; AI augments it with prediction and automation.
• CX Customer experience; AI enables personalization and automation at scale.