Why Human-AI Collaboration Starts With Leadership
AI adoption isn’t just a technical shift; it’s a leadership challenge. As organizations integrate AI into their strategy, the biggest obstacles often lie not in the tools but in the people, processes, and culture surrounding them.
A report from Boston Consulting Group revealed that nearly 70% of AI implementation challenges stem from people and process issues, while only 20% are due to the technology itself. Challenges around governance, such as unclear policies, data privacy concerns, and ethical uncertainty, along with cultural barriers like fear of job loss and resistance to change, often deepen this complexity. So, how can business leaders help shift mindsets so AI is viewed as a teammate rather than a threat, and what risks must they be prepared to manage?
In a recent webinar, Michigan Ross Executive Education welcomed Ross faculty experts Monica Worline and Nigel Melville, who were joined by Chris Glenn, Chief Operating Officer at Blue Compass RV, to explore what it takes to adopt AI in a way that empowers people, aligns with organizational goals, and mitigates risk.
The panel, led by Gene Mage, Custom Managing Director at Ross Executive Education, shared practical ways leaders can guide their teams through this transformation.
Set Guardrails Early
AI governance can often be treated as an afterthought, but Nigel argued it must be part of the conversation from the beginning. “Everything that I have learned in doing this research, as well as my industry engagements, points to the conclusion that risk and governance need to be brought in from the get-go, right at the beginning, rather than waiting until something bad happens,” he said. He emphasized the importance of understanding both the probability and severity of potential failures and implementing proactive processes, not reactive fixes.
At Blue Compass RV, Chris learned that lesson firsthand when their AI customer agent, Olivia, booked plane tickets for a customer without authorization. “We clearly understood that we hadn’t put enough limits on Olivia early on,” he said.
Build Shared Ownership Across Functions
Another barrier to AI success is siloed decision-making. As AI tools become more embedded in daily operations, treating AI implementation as a purely technical endeavor is no longer feasible. “If AI is kind of like an employee…does it make sense for technology folks to be the single source of onboarding and training for that employee?” asked Nigel. “We need to work together. We need to collaborate. And we need to figure out who does what, when.”
Monica emphasized this point, adding, “AI can't be just the purview of technologists, and it can't be just the purview of the engineers. I think leader-engineer partnerships with deliberate experimentation and amping up our skills of asking great questions and thinking critically is a core leadership piece here.”
Foster Curiosity and Clarity
While risk and role clarity are essential, successful adoption also depends on how teams perceive and interact with AI. “People adopt change best when they understand the purpose and why the change is happening, when they feel that there's something in it for them, and they have some interest, curiosity, or positive emotion that helps motivate them to want to learn the technology, play with the technology, and use it,” said Monica. She also recommended giving AI agents human-like qualities, like a name, a backstory, or work desk items, to help teams relate more comfortably to AI.
Chris saw this shift take shape at Blue Compass RV, as employees moved from resisting Olivia to seeing her as a collaborator once they realized the impact on sales and the customer experience. “Sometimes a customer submits a lead to us interested in a particular unit, and in some cases, that unit is no longer in stock. Sometimes, the salesman will just respond that the unit is no longer in stock. Now, Olivia will look at our data, look at units that are very similar to the one they looked at, and suggest a unit. And so, from the way I see it, this is something the salesperson didn't think about. But Olivia did, and now Olivia becomes a partner,” he added.
At the end of the session, Chris reflected on the need to reframe AI as an opportunity rather than a threat, and Nigel encouraged leaders to think beyond capabilities and focus on the structures, processes, and incentives that support AI adoption. At the same time, Monica underscored the importance of keeping AI grounded in purpose and making it approachable for teams across the organization.
The full webinar recording is available to watch now at the link below.
Michigan Ross Executive Education partners with organizations around the globe to build leadership capabilities that support real transformation, including navigating the cultural and strategic shifts that come with AI adoption. Whether you're seeking to reimagine how your teams collaborate with AI or have other critical business challenges, our custom solutions are co-created to help you lead change with confidence.
Visit the custom solutions page to learn more about how Michigan Ross can support your unique business goals.
