“AI will reward leaders who combine imagination with discipline. The organizations that benefit most will be the ones that connect AI to mission, redesign work thoughtfully, build trust, and bring their people along.” – Ibrahim Otun, Chief AI & Information Officer at MGT
Artificial intelligence is changing how organizations operate, but according to Ibrahim Otun, Chief AI & Information Officer at MGT, many leaders are still asking the wrong questions.
While conversations about AI often focus on tools and technology, Otun believes the real opportunity lies in helping organizations work smarter, make better decisions, and create greater impact. From his own journey into AI to his vision for MGT’s future, Otun shared his perspective on what responsible AI adoption looks like and why leadership matters more than ever.
A Career Focused on Improving How Organizations Work
AI entered Otun’s career through a broader focus on organizational effectiveness. Much of his work involved helping large organizations operate more efficiently and deliver better outcomes, which naturally led him to explore technologies that could remove friction from everyday work.
“My interest in AI was sparked by seeing how much organizational capacity is consumed by repetitive work, fragmented information, and decision-making processes that move slower than the needs of the business or community,” he said. “I have spent much of my career helping large organizations improve technology operations, user experience, service delivery, resilience, and productivity, and AI felt like a natural extension of that work.”
Rather than viewing AI as a replacement for expertise, Otun sees its greatest value in expanding what people and organizations can accomplish with the resources they already have.
“The best use cases are not about replacing human judgment,” he said. “They are about giving leaders, employees, educators, and public servants better tools to see patterns, act faster, and focus on higher-value work. That is especially important in public-sector and education environments, where the goal is not just efficiency but better outcomes for communities.”
For Otun, the turning point came when AI moved beyond specialized applications and began showing its potential to assist in the day-to-day work of organizations. He said, “When you see AI summarize complex information, support service agents, detect risks, generate insights, and help teams navigate knowledge at enterprise scale, you realize this is not just another technology cycle.”
This fundamentally changed how he viewed the role of AI in organizations. “It changes the operating model,” he said. “Processes become more intelligent, data becomes more usable, and employees begin interacting with systems in a more natural way.”
AI Is Not “Just” a Technology Project
As organizations continue investing in AI tools and platforms, many are approaching adoption as a technology initiative rather than a business transformation effort. According to Otun, that mindset often creates a disconnect between implementation and outcomes, leaving organizations focused on the technology itself rather than the changes required to make it effective.
“One common misunderstanding is that AI is primarily a technology deployment,” he said. “AI is an organizational transformation.”
In Otun’s view, organizations that achieve the most meaningful results from AI are not simply introducing new tools. They are rethinking how information flows through the organization, how decisions are made, and how employees interact with technology in their daily work.
“The model matters, but so do the data, process, operating model, controls, training, culture, and leadership behaviors around it. If an organization simply drops AI into a broken process, it may make that process faster, but not necessarily better. The real value comes when AI is paired with thoughtful redesign of how work gets done.”
Responsible AI Adoption for Mission-Driven Organizations
For organizations serving the public, AI adoption carries a different set of considerations than it might in the private sector. Decisions often affect students, residents, employees, and communities, making trust and accountability just as important as innovation. As a result, leaders must think beyond what AI can do and focus on how it should be implemented.
“Responsible AI starts with leadership intent,” said Otun. “The question is not simply, ‘Can we use AI here?’ The better question is, ‘Should we use AI here, and if so, under what controls, with what human review, and toward what measurable benefit?'”
That perspective also shapes how Otun views MGT’s role in helping clients navigate AI adoption. Rather than focusing on experimentation for its own sake, the emphasis is on practical solutions that can be governed, sustained, and aligned with organizational goals.
“These organizations do not need AI theater,” he said. “They need secure, practical, explainable solutions that work within budget constraints, policy requirements, legacy environments, and community expectations.”
AI as a Force Multiplier
Public agencies and educational institutions are under constant pressure to do more with limited resources. Growing service demands, workforce challenges, budget constraints, and increasing operational complexity have left many organizations searching for ways to expand capacity without sacrificing quality or mission.
When asked where AI can create the most meaningful impact, Otun points to those environments where demand is high and resources are stretched thin.
“The greatest opportunities are in areas where clients face high demand, constrained resources, and complex service obligations,” he said.
In those situations, AI can help organizations improve service responsiveness, strengthen cybersecurity, support workforce productivity, identify funding opportunities, and make better use of the data they already possess. But for Ibrahim, the real opportunity extends beyond operational efficiency.
“For communities, the impact can be very tangible: faster access to services, more proactive support, better allocation of resources, and more informed policy and operational decisions,” he said. “This is where AI becomes more than a productivity tool. It becomes a way to help mission-driven organizations extend their capacity and improve the experience of the people they serve.”
Leadership Still Matters Most
Despite the rapid pace of technological change, Otun believes success will ultimately come down to leadership. “AI will reward leaders who combine imagination with discipline,” he said.
The organizations that benefit most won’t be those chasing every new tool. They will be the ones connecting AI to mission, thoughtfully redesigning work, building trust, and bringing their people along throughout the process.
“Leadership matters more, not less, in an AI-enabled world,” he said. “The technology can generate options, automate tasks, and surface insights, but leaders still have to set direction, make values-based decisions, and ensure that AI improves outcomes for the people and communities they serve.”
Why MGT Is Positioned to Lead
As organizations move beyond AI experimentation and toward long-term adoption, Ibrahim believes success will depend on more than selecting the right technology. It requires organizations to align strategy, governance, security, data, workforce readiness, and operations around a shared vision for how AI creates value.
That need for alignment is what he sees as one of MGT’s greatest strengths. “AI does not succeed because someone writes a strategy document,” he said. “It succeeds when strategy, operations, security, data, adoption, and measurable outcomes come together.”
MGT’s ability to bring together advisory services, implementation, cybersecurity, data expertise, managed services, and public-sector knowledge is a key part of that approach. In Otun’s view, organizations need more than a roadmap for AI adoption. They need a partner that can help translate strategy into operational results.
“Success would mean MGT is recognized as a trusted AI partner for mission-driven organizations, especially in the SLED market,” he said. “It should come not from hype, but from measurable outcomes: improved service levels, reduced administrative burden, stronger security, better data-driven decisions, and greater public trust.”
As AI continues to evolve, Otun believes organizations will need partners that can help them navigate both the opportunities and responsibilities that come with adoption. For MGT, that means helping clients move beyond experimentation and toward practical, sustainable outcomes that create lasting value for the communities they serve.