I've been reading a lot of AI business cases recently, and one thing keeps standing out to me.
Most of them do a great job explaining the benefits—faster workflows, improved productivity, cost savings, better customer experiences. Those are all valid reasons to invest in AI.
But I don't often see much discussion about what it takes to use AI responsibly once it's rolled out across an organization.
For example, are we budgeting for employee training? Do we need new policies? Who is responsible for AI governance? How will AI usage be monitored? What happens if confidential information is shared with an AI tool by mistake?
These aren't just IT questions anymore. They affect project scope, timelines, budgets, risk management, and long-term success.
In my view, an AI initiative isn't complete until governance, compliance, and change management are part of the conversation—not added after deployment.
I'm interested to hear how others are approaching this.
When your organization builds the business case for AI, are governance and compliance treated as core project costs, or are they still considered something to figure out later?
I'd love to hear your experience, especially from those who have already delivered AI projects.
