Episode 98: Beyond AI Adoption: Building the Hybrid Human-AI Advancement Team with Joe Manok

October 7, 20263 min read

Overview

What if AI has the ability not only to make your organization faster but also to make it fundamentally different?

AI adoption is surpassing tools and individual workflows, leading into organizational redesign, governance, and the future of work. Starting from building trust with staff and balancing AI readiness with ethical parameters to integrating specialized AI agents, the sole focus is on practical transformation. This episode explores what happens when advancement teams simply move beyond augmenting existing processes.

Today we’re joined by Joe Manok, Vice President for University Advancement at Clark University, author of ‘Becoming AI Ready,’ and a leader in AI-driven advancement and organizational transformation. When a fundraiser encouraged him to pursue higher education and introduced him to the world of philanthropy, he was working in Beirut, Lebanon. Joe held fundraising roles in New York and at MIT before joining Clark after studying computer science and working in advancement at the American University of Beirut. At present he explores how AI can transform the way organizations work, fundraise, and serve their communities.

Cover art for episode 98: Beyond AI Adoption: Building the Hybrid Human-AI Advancement Team with Joe Manok

Episode highlights

02:10 Introduction and background to Joe Manok
07:27 Rethinking traditional advancement models rather than optimizing them
10:43 The balance between readiness and restraint
17:21 Change management and trust
21:18 Using AI to redesign the organization and give productivity gains back to employees
27:28 The responsibility for judgment, relationships, and governance
35:08 The results of AI-enabled capacity, organizational redesign, new talent, persistence, and a broader institutional strategy
39:48 From implementing AI internally to sharing and institutionalizing what has been learned
44:06 Experimentation, failure, iteration, and the willingness to examine unsuccessful initiatives
46:14 The importance of human judgment and oversight in high-stakes AI use cases like compliance

Tips and tools to implement today

Question the default model, even if it's producing strong results.
Make sure you create space for experimentation.
See beyond the assumption of better outcomes always require more people, more money, or more resources.
Keep in mind that moving too quickly without guardrails creates risk, while excessive caution can prevent meaningful innovation.
Use AI gains to rethink meetings, communication, processes, staffing, and how teams spend their time.
Make sure you measure outcomes, not AI usage.
Make sure to share lessons openly: Don’t keep successful AI practices behind institutional walls.

Favorite quotes

“When something is moving really fast, you really can't just pause, create, advance, take to market. You have to partner with a corporate partner and build those advances with them.” - Joe Manok
“You have my word that we're not trimming the team, and if we have to trim the team on the highest salary, I will fire myself.” - Joe Manok
“If you raise more money or you engage more people, I'm going to give you more cash because we have ethical standards and guidance against them. But there is nothing against giving back time.” - Joe Manok
“I genuinely don't care if anyone uses agents. It's not about AI. It's about giving people the best use of our time as humans and giving them the best treatment they can get for trusting us with their kids, with their money, with their life, with their relationships.” - Joe Manok
“I'm serious about time management in a way that when I'm sitting to think about AI, I'm thinking about AI.” - Joe Manok
“Sharing your successes is great, but oftentimes if you just focus on the outcome, you're not teaching anybody else how you got there.” - Scott Rosenkrans
“The more I'm talking about failures, the more I'm getting people to give me better ideas.” - Joe Manok