Most AI projects fail not because of bad technology — but because of poor team structure, unclear accountability, and weak governance.
This is the most important role in an AI project, yet it is often missing or underpowered. Someone needs to own risk management, vendor evaluation, data governance, compliance, and overall decision quality...
This should almost always be an internal role. Without strong internal ownership, AI projects often lose direction...
This role is usually filled by a combination of internal staff and external specialists...
This is typically a project-based or contract role...
AI only creates value if people actually use it...
Most companies will need outside help, but the vendor should be managed — not put in charge.
Many companies treat AI implementation as mainly a technology project...
AI implementation is not just about technology. It is about people, risk, incentives, and accountability...
Retired CPA • Certified Fraud Examiner
I bring a forensic and governance-focused approach to AI implementation and risk management. Independent perspective.
Important Disclaimer
This is general educational information only. It is not legal, technical, or consulting advice. Always engage qualified professionals for your specific situation.