Putting AI to Work: Ten Considerations Before Implementing Enterprise AI

Putting AI to Work: Ten Considerations Before Implementing Enterprise AI

In this new white paper, Putting AI to Work: Ten Considerations Before Implementing Enterprise AI, Beyond20’s David Crouch explains why rolling AI out across an organization is a very different challenge from using it on your own, and what to think through before you scale.

Most organizations start with AI as a personal productivity tool. At enterprise scale, the questions change: where AI creates real value, what it costs, what data it can see, what actions it can take, and how people’s roles will shift. This guide walks through ten practical steps for moving from experimenting with AI to implementing it with confidence, with real-world examples using Claude.

In this paper, you’ll learn:

• How to set enterprise AI goals that go beyond “efficiency”
• How to choose a first pilot that proves value without taking on unnecessary risk
• How to estimate token costs and build a realistic AI budget
• What to protect: security, sensitive data, and the systems AI should (and shouldn’t) touch
• How staff roles will evolve, and where human review still matters most