Why Legacy Isn't the Goal (But Believing in People Is): AI, Shared Services, and the Long Game with Justin Southwell

Fractional CPO Justin Southwell on why transformation is a human problem, AI disruption, trust at scale, and building operating models that last

Most transformation failures are blamed on process, technology, or strategy—but the root cause is almost always human.

Few professionals understand this distinction as deeply as Justin Southwell. With over two decades of experience shaping sourcing, supply chain, and shared services organizations across complex regulated environments, Southwell has built a career on a simple but radical conviction: transformation is a human problem disguised as an operational one.

Today, he serves as a fractional CPO and owns a GBS advisory business, helping leaders navigate large-scale change with clarity, trust, and long-term discipline. In this interview, he shares hard-won lessons on AI, shared services, and what it really takes to lead through uncertainty.

Interview with Justin Southwell

You have spent more than two decades shaping sourcing, supply chain, and shared services organizations across complex and highly regulated environments. When you reflect on your journey, what experiences most influenced the way you lead transformation today, especially in moments of uncertainty or disruption?

Transformation is ultimately a human problem disguised as an operational one. After more than two decades leading sourcing, supply chain, and shared services organizations across some of the most complex regulated environments in the world, that is the single most important lesson I carry.

My philosophy is built on one non-negotiable: if you cannot explain why a transformation will benefit its stakeholders in under 60 seconds, your chances of success drop dramatically. Clarity of purpose is not a communications exercise, it is the foundation of organizational trust. And if you cannot articulate a compelling reason for a group to change, the honest answer is that the transformation may not be the right one.

In moments of disruption, the leader's role shifts. You become the calm in the storm, absorbing uncertainty so your team does not have to, protecting their work from forces that would derail it, and making sure that when the work succeeds, the credit lands where it belongs. Servant leadership is not a philosophy I adopted because it sounds good. It is the approach that has consistently produced the strongest outcomes across every organization I have worked in, and it is the lens through which I now advise leaders across industries on how to navigate large-scale transformation.

You have led large scale global initiatives that delivered significant efficiency gains while also strengthening operational resilience. How do you balance the pressure to deliver cost outcomes with the longer-term responsibility of building sustainable, future ready operating models?

The organizations that will win the next decade are not the ones that cut the deepest.   They are the ones that build the most intelligently. That distinction matters more right now than at any point in my career.

Too many transformation programs are designed backwards. They start with a savings target and engineer justification around it. Sustainable programs start with a clear answer to a harder question: what does success actually look like for this organization three to five years from now? Cost efficiency has to be in service of that answer, not a substitute for it.

In practice, this means finding genuine early wins that build momentum and organizational confidence, not manufactured quick hits that hollow out capability. It means maintaining a consistent long-term narrative even when short-term pressure mounts. And critically, it means earning executive alignment before you need it, not after the first obstacle appears.

I have seen programs deliver hundreds of millions in savings only to leave the organization structurally weaker. I have also seen more modest programs create operating models that compounded value for years. The difference was almost never the methodology. It was whether leadership had the discipline to protect the long game. That is the work I find most meaningful and it is central to what I do with clients today.

Much of your work has focused on designing and scaling global business services and outsourcing ecosystems. From your perspective, what are the biggest shifts happening right now in how organizations think about shared services, and what separates programs that create real enterprise value from those that simply centralize activity?

Shared services, as most organizations have built it, is approaching a structural inflection point, and the companies that do not recognize this within the next two to three years will find themselves rebuilding from a significant disadvantage.

The traditional GBS model was built on a simple value proposition: centralize transactional activity, arbitrage labor costs, and standardized processes. That model is not disappearing, but it is being fundamentally disrupted by AI and agentic AI at scale. The question is no longer whether AI will transform these functions, it is whether organizations will lead that transformation or be led by it.

My prediction is clear: the GBS organizations that thrive will be the ones repositioned around insight generation and revenue enablement, not cost containment. The teams still focused primarily on standardization and labor arbitrage in 2027 will be competing on a shrinking playing field. The ones investing now in genuinely upskilling their people, teaching them how to work alongside AI agents, how to surface business intelligence, how to connect operational data to commercial outcomes will become strategic assets rather than cost centers.

This transition is one of the most consequential advisory challenges I work on with clients today. The organizations that get it right will not just reduce costs. They will fundamentally change how their businesses operate.

You have consistently integrated automation, analytics, and emerging technologies into procurement and business operations. As artificial intelligence and predictive decision making accelerate, how do you see leadership roles evolving in order to ensure that technology enhances both performance and human capability?

The most dangerous place a leader can be right now is confidently behind. And in my experience, that is exactly where a large number of senior executives sit when it comes to artificial intelligence.

Most organizations are pursuing AI tactically, deploying point solutions, running pilots, and declaring early wins. Very few have developed a coherent enterprise AI strategy, and fewer still are investing seriously in developing their people alongside the technology. That gap is where competitive advantage will be created or lost over the next several years.

My view is that AI literacy will become a core leadership competency, not just for technology executives, but for every senior leader driving operational or commercial outcomes. The leaders who thrive will be the ones who understand how to align an AI strategy across the enterprise, engage their organizations at every level, and harness new capabilities not simply to reduce cost but to generate top-line growth.

The human dimension does not diminish in this environment; it becomes more important. Judgment, relationship building, ethical decision making, the ability to lead through ambiguity, these are the capabilities AI cannot replicate, and they are precisely what I focus on when working with leadership teams.

The future belongs to leaders who can integrate technological fluency with irreplaceable human skills.

Throughout your career you have managed high performing global teams and guided organizations through complex transformation programs. What have you learned about building trust, accountability, and engagement across geographies and functions when the stakes are high and change is constant?

Trust at scale is the hardest thing to build and the easiest to lose, particularly in global transformation programs where the stakes are high, timelines are compressed, and the people most affected by change are often the furthest from the decision-making table.

I have learned that there are no shortcuts. Relationships that hold up under pressure are not built on Zoom calls and quarterly updates. They are built by showing up, physically, where people work, taking a genuine interest in what their days look like, what their pain points are, and what success means to them. That investment is what gives a leader the credibility to ask an organization to change.

Once that foundation exists, the path forward requires two things that most transformation programs underinvest in. The first is a road map that is communicated clearly and consistently enough that everyone understands not just the destination but their role in reaching it. The second is deliberate, public alignment, creating the space for dissent and debate early, so that what follows is genuine commitment rather than quiet resistance. Unaddressed skepticism does not disappear in large programs. It resurfaces at the worst possible moment.

Above all, leaders must deliver on their commitments. That single behavior, practiced consistently at every level of a team, creates a culture of accountability that sustains transformation long after the initial energy fades.

Your track record shows a strong focus on creating measurable impact, from restoring operations during major disruptions to delivering large scale savings and capability growth. Looking ahead, what kind of legacy do you hope your work leaves in the organizations and people you have helped shape?

Honestly, legacy is not something I spend much time thinking about, I still have a great deal I want to build and contribute, and that keeps my focus firmly on what is ahead.

But when I do reflect on it, what I hope people remember is not a program that delivered a particular savings number or a transformation that hit its timeline. I hope they remember a leader who operated with unquestioned integrity, who had a genuine and active interest in their development, and who showed up when it mattered most.

I came across a line recently that stopped me: "somewhere out there is a person who still thinks of you because you believed in them." That is the standard I want to be held to. More than any operational outcome, I want the people I have worked with to carry something forward, a belief in their own capability, a higher standard for how teams should operate, or simply the experience of being led in a way that made them better.

That same commitment is what I bring to my clients. The advisory work is about outcomes, of course, but the reason I do it is the people. It always has been.