Revenue Execution Gap

Why AI Adoption Without Action Is Costing You

For decades, the enterprise revenue model was built on a simple premise:

Hire great people. Give them a proven process. Scale what works.

For a long time, that was enough. Today, it isn't.

Buying committees are larger. Sales cycles are longer. Customer expectations are higher. The pressure to protect existing revenue while driving new growth has never been greater.

Yet many organizations continue to respond with the same playbook: more headcount, more tools, more activity.

And still, the forecast slips.

The emergence of Agentic AI respresents more than another technology trend. It challenges the assumptions underpinning how revenue organizations operate, execute and scale.

Recent IDC research commissioned by Outreach found that 68% of enterprise organizations are already scaling or optimizing AI across revenue functions. Yet the organizations pulling ahead are not necessarily those that adopted AI first.

They're the ones asking a different question:

What does revenue execution look like when AI can act, not just advise?

Join a select group of senior revenue, sales and operations leaders for an exclusive virtual roundtable exploring how Agentic AI is reshaping the enterprise revenue operation model - and what leaders must do now to turn AI adoption into measurable execution advantage. 

Discussion Themes:

1. The Capacity and Skills Challenge:

For many organizations, the issue isn't effort. It's capacity. As customer expectations grow and revenue motions become more complex, leaders are being asked to deliver more without proportionally increasing resources.

Discussion topics include:

• Where are revenue teams experiencing the greatest execution bottlenecks?
• Is the challenge a talent gap, a skills gap or an operating model problem?
• How can AI augment capacity without creating additional complexity?

Moving Beyond AI Experiments

Many organizations have successfully piloted AI. Far fewer have scaled it. 

We'll explore:

• What separates successful AI adoption from enterprise-wide impact?
• How are leading organizations embedding AI into daily workflows?
• What prevents promising pilots from becoming repeatable business outcomes?
• How can organizations move from experimentation to execution?

Scaling Excellence

Every organization has top performers. The challenge is making their success repeatable.

We'll discuss:

• How AI can identify the behaviors that drive results?
• Turning individual excellence into organizational capability
• Standardizing winning motions across teams and geographies
• Creating consistency without sacrificing flexibility

Earning Trust in AI

Technology adoption is rarely a technology problem. It's a trust problem. 

Discussion areas include:

• Building confidence among sales teams and frontline managers
• Driving executive alignment around AI initiatives
• Demonstrating measurable value to leadership
• Creating governance frameworks that encourage adoption rather than resistance

AI Doesn't Create Advantage. Execution Does.

The next generation of revenue leaders won't win because they adopted AI first.

They'll win because they figured out how to operationalize it.

As Agentic AI transforms how organizations sell, engage customers, and scale performance, the competitive advantage will belong to those who can turn intelligence into action - and action into revenue.

Join your peers for an executive discussion on building the revenue operating model of the future.

Request your invitation below. Attendance is limited to ensure a high-quality executive discussion.