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Visionary Voices.

The Power of Enterprise Cohesion.

As seen in MINDshift.

Greg Derderian
CFO Advisory Leader, RGP

The Defining Discipline for Growth

AI is dramatically increasing the amount, speed and reach of intelligence available to an organization. Insight can emerge from an employee, a customer, a partner, a market shift or an AI system and quickly connect to information that once sat in separate functions, systems and domains.

For Greg Derderian, that creates a new imperative for leaders. The question is no longer simply how much intelligence an organization can generate. It is whether the enterprise can connect that intelligence, understand what it means and turn it into coordinated action.

“Making sure everything gets connected is becoming one of the most important responsibilities leaders face,” Greg says.

In this issue of Visionary Voices, we talk with Greg about the imperative for organizations to create true enterprise cohesion.

Operating as a Coordinated Whole

Greg defines enterprise cohesion as the deliberate connection of strategy, the operating model, people and work, and data and technology so the organization can operate as a coordinated whole rather than as a collection of separate functions.

What happens in one part of the business increasingly affects what happens somewhere else. A new insight, technology or way of working can quickly change roles, workflows, controls and decisions across the organization. In other words, change no longer stays neatly contained within a function. The answer is not to centralize every decision. It is to create a stronger flow of intelligence across the organization.

What the organization learns from one decision becomes context for the next. Intelligence moves from the edges of the enterprise into the wider organization and then back out again in a more useful form. It creates a continuous loop of surfacing insight, connecting it across functions, turning it into coordinated action and feeding what is learned back into the enterprise.

But that loop depends on more than technology. Governance determines who can act, what guardrails apply and how the organization stays aligned as decisions become faster and more distributed. Culture determines whether people are willing to surface what they see, share information across boundaries, challenge assumptions and change course when new evidence suggests they should.

For Greg, that is the larger promise of enterprise cohesion: not simply creating more intelligence, but building an organization capable of connecting it, acting on it and learning from it as one.

Making sure everything gets connected is becoming one of the most important responsibilities leaders face.

Governance to Manage Constant Change

One reason cohesion matters so much now, Greg believes, is that leaders are operating amid near-constant change.

“I probably would use a different word than urgency,” he says. “I would use uncertainty.”

Technology is changing. Business models are changing. Organizations are adopting AI while modernizing systems, restructuring work and responding to shifts in the market.

The challenge is not simply to move faster. It is to understand what is changing well enough to make good decisions about what comes next. That is why he sees governance as much more than a control mechanism.

“Those governance activities, to me, are the mechanisms to start to have a chance to manage all this uncertainty.”

Organizations often create separate governance structures around AI, data, technology, risk and transformation. Greg’s point is that those structures cannot operate independently.

“You have an overarching governance committee tied into AI. There’s an overarching governance committee tied into data,” he says. “They have to be talking to each other.”

The goal is not to send every decision upward. It is to make sure the right people are involved, responsibilities are clear and the different governance mechanisms across the business are connected. That becomes increasingly important because the issues themselves are connected. An AI decision can quickly become a data decision, a risk decision, a technology decision and a workforce decision. Without coordination, organizations may move quickly, but not necessarily in the same direction.

The Human Side of Cohesion

Greg is equally clear that systems and governance alone will not create cohesion.

“We can define great technology, but if we don’t help the organization understand what it’s going to mean to roles, responsibilities, people’s jobs, how they’re going to interact with it and how they take advantage of it, then it’s going to fail or it’s not going to be as successful.”

When technology changes, the work changes with it. Responsibilities shift. Decisions move. People need to understand not only what a new tool does, but what it changes about the way work gets done. That is where culture matters.

People have to be willing to share what they know, raise problems, work across boundaries and adjust when circumstances change. Otherwise, even good technology and good information will remain trapped inside old ways of working.

Four Actions Leaders Can Take

1

Govern the Enterprise, Not the Initiatives
Most organizations still govern AI, technology, workforce, risk and transformation as separate agendas. Leaders need to look across them and make decisions based on their combined effect on the enterprise. Are they moving the organization in the same direction?

2

Decide Where Intelligence
Should Travel
As insight can originate almost anywhere in the organization, leaders need to be deliberate about where the track that insight takes. Determine which signals should remain local, which should move across functions, and which should influence enterprise-level decisions. Cohesion depends on making sure the right intelligence reaches the right people at the right moment.

3

Redesign Decision Rights For a Faster Organization
AI is accelerating the speed at which information appears and decisions can be made. Leaders should revisit who has the authority to act, when decisions need to move upward or across the organization, and where human judgment must remain decisive. Old decision structures can become a constraint when intelligence is moving much faster than authority.

4

Build the Feedback Loop Into the Operating Model
The most cohesive organizations will not simply push strategy and information outward. They will create a continuous loop in which what people, customers and AI systems learn at the edges of the business comes back into strategy, investment, governance and the design of work. Leaders should ask whether their organization has a reliable way to turn what it learns into what it does next.

The organizations that will pull ahead will be the ones that can connect what they know and act on it as an enterprise. That is what cohesion makes possible: intelligence can surface anywhere, travel to where it matters, shape coordinated action and return as learning that makes the next decision better. In that sense, enterprise cohesion is more than an operating discipline. It is how an organization becomes more intelligent as a whole.

AI governance isn’t a luxury for advanced adopters-it’s a non-negotiable for any organization deploying AI at any scale. The companies that build strong, proactive governance foundations today will be the ones best positioned to harness the full promise of AI and quantum tomorrow.

If you’re ready to put governance at the core of your AI strategy-we’d love to talk.

Visionary Voices is a segment of RGP’s LinkedIn newsletter, Mindshift. Each month we highlight a unique futurist who challenges us to think differently and to drive innovation. Mindshift also contains valuable research and curated content.

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