With 98% of mission-driven organizations using AI in some capacity, but only 8% having a formal AI roadmap in place, is your team’s uncoordinated experimentation putting your brand at risk? Digital leaders today are caught in a tug-of-war between the intense pressure to adopt AI quickly and the deep fear that unmonitored tools will compromise privacy, accuracy, and accessibility.
In this session, we’ll break down what Trusted AI actually means for enterprise organizations, moving you away from ad hoc experiments toward a structured, values-aligned framework. We’ll explore how to navigate organizational risks, evaluate vendors rushing to push new AI features, and address the dual challenge of adopting AI responsibly internally while optimizing how AI platforms see your organization externally.
Whether you’re a digital leader, CMO, or IT Director managing complex web ecosystems in higher ed, healthcare, or the nonprofit sector, this webinar will help you transition from informal team experimentation to a governed, scalable AI roadmap.
Key Talking Points:
- Defining Trusted AI: Why your AI adoption must be accessible, secure, evidence-grounded, and designed to support people, not replace them.
- Bridging the governance gap: Overcoming the reality that while almost everyone uses AI, fewer than half of executives have written guidance on data usage and responsibility.
- Vendor vetting: The top five non-negotiable questions you must ask software vendors before toggling on their new AI features.
- The two-sided AI coin: Solving the two biggest organizational missteps: not knowing how to use AI, and not knowing how AI sees your brand.
- Immediate action: The single most practical step you can take the day after the webinar to audit your tools and begin building your AI roadmap.
