AI Proof of Concept Playbook: A Quick Guide for Smarter Decisions

Before You Build Anything in AI, Start Here

Jumping straight into an AI project can be risky—budgets, timelines, and stakeholder expectations can derail fast. That’s why many teams start with an AI Proof of Concept (PoC): a short, low-risk project that answers one critical question—can this actually work for us?

This eBook, authored by Olga Hrom, Director of Pre-Sales Strategy & Delivery at Master of Code Global, explains:

Inside, you’ll find:

• What an AI PoC is—and how it differs from a Proof of Value or an MVP.
• When you should run a PoC (and when you can skip it).
• Typical timelines and costs to expect at each stage.
• What comes next: from MVP development to scaling, pivoting, or pausing.
• How a PoC acts as a “zero sprint”—helping you align your team, validate feasibility, and avoid costly rework later.

Whether you’re exploring an early idea or managing a high-stakes AI initiative, this guide will help you make informed decisions about your next step.

👉 Download the eBook to see if a PoC is the right move for your AI journey.