Resources
The IT Leader's Guide to AI Adoption
A practical framework for evaluating, prioritizing, and implementing AI initiatives in a mid-market IT environment.
This comprehensive guide helps IT leaders navigate the AI landscape with confidence. Based on 28 years of technology implementation experience, it provides actionable frameworks for separating genuine AI opportunities from hype and building a pragmatic adoption plan that delivers measurable results.
Readiness Assessment
Evaluate your organization's data maturity, infrastructure readiness, and team capabilities against AI requirements. Identify gaps before you invest.
Use Case Identification
Framework for identifying and prioritizing AI opportunities based on business impact, technical feasibility, and implementation complexity.
Vendor Evaluation
Objective criteria for assessing AI platforms and vendors. Build vs. buy decision frameworks with total cost of ownership modeling.
Proof of Concept Design
How to design POCs that validate assumptions without over-investing. Success criteria, measurement frameworks, and scaling triggers.
Scaling Strategy
Moving from successful POC to enterprise deployment. Infrastructure requirements, team structures, and change management approaches.
Governance Framework
Establishing AI governance that balances innovation with risk management. Data ethics, model accountability, and regulatory compliance.