10 Questions Every Organization Should Ask Before Adopting AI
Before spending a dollar on AI, every leader needs clarity on what they are actually solving for. These ten questions cut through the hype and get to what matters.
1.
What specific problem are we trying to solve — and is AI actually the right tool?
Not every challenge needs AI. Clarity on the root problem saves time, money, and frustration.
2.
Who in our organization will own and oversee the AI system?
AI without a human owner drifts. Someone needs to be accountable for how it performs.
3.
How will we protect client, donor, or constituent data?
AI systems often process sensitive information. Privacy protocols must be established before deployment.
4.
What are the regulatory or compliance requirements for AI in our sector?
Law firms, nonprofits, government, and healthcare all have specific rules that apply to AI use.
5.
What does our staff need to know before we deploy anything?
The best AI system fails if the people using it don't trust it or understand it.
6.
What does success look like in 90 days?
Define the win before you start. Vague goals produce vague results.
7.
What does failure look like — and what is our contingency plan?
Every implementation should have a fallback. Planning for failure prevents it from becoming permanent.
8.
Who built this system — and do they understand our industry?
Generic AI deployed by someone who doesn't know your world creates more problems than it solves.
9.
How will we know if the AI is performing correctly?
You need clear metrics and a review process. What gets measured gets managed.
10.
What is the cost of NOT adopting AI in the next 12 months?
Inaction is a decision. Understanding the opportunity cost clarifies the urgency.