RESOURCES
Guides
Practical checklists and frameworks for AI adoption.
AI Adoption Checklist
A practical checklist for organizations considering their first AI deployment.
Before adopting AI, walk through these questions: What problem are we actually trying to solve? What data would the AI system need access to, and how sensitive is it? Do we have documentation and knowledge that is currently hard to search? What is our tolerance for ongoing subscription costs versus upfront investment? Who internally will own this once it is deployed? Answering these honestly makes the rest of the adoption process far smoother.
AI Readiness Guide
How to know if your organization is ready for AI adoption.
Readiness is not about having a dedicated IT or AI team — most of our clients do not. It is about having clear documentation, a defined problem you want AI to help with, and a willingness to start with a scoped pilot rather than a sweeping rollout. Organizations with digitized documents and a specific pain point (like slow document search) are typically the best candidates to start.
Local AI vs Cloud AI: A Decision Guide
A structured way to decide which approach fits your organization.
Consider three factors: sensitivity of your data, predictability of costs you want, and your appetite for managing local infrastructure versus relying on a vendor. Organizations handling sensitive documents with a preference for fixed costs often lean local. Organizations needing rapid scale and cutting-edge capability often lean cloud. Many end up with both, applied to different parts of the business.