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Build the AI-Capable Teams That Will Win in 2027

AI Adoption Won’t Set You Apart in 2027. Capability Will.

  • Live Webinar
  • 12/03/26
  • 1 PM ET
AI access is expanding, adoption is climbing, and expectations are high. But are the returns keeping pace?

In one AI rollout, 10 people had access to an agentic AI tool. After the first month, roughly 130 tasks had been run, but just three or four people accounted for almost all the activity.

The uncomfortable truth: Your AI investment could be growing faster than your ability to get value from it.

When AI usage is concentrated among a few people, the problem is seldom adoption. It’s typically organizational capability that needs to turn access into repeatable performance. And as 2027 approaches, closing that gap could be what separates organizations that simply use AI from those that gain a real competitive advantage.

Join Mike Burch, VP of AI Enablement and Acceleration at Security Journey, for a practical look at why AI initiatives stall after rollout and how leaders can change that trajectory. Drawing on insights from his After the Rollout field guide, Mike will explore how capability gaps hold back return on AI investment (ROAI), why usage metrics alone can mask a lack of progress, and how organizations can better align AI use with real business outcomes.
Mike Burch Headshot
Michael Burch Vice President of AI Adoption and Acceleration

Walk away with a practical playbook to win with AI in 2027

01

Identify high-impact opportunities

to turn AI into meaningful business outcomes.
02

Build AI capability

across teams to close the gap between adoption and performance.
03

Measure progress beyond usage

to understand the real impact of AI investments.
04

Establish the workflows

and operating practices that turn AI investments into sustained performance gains.
05

Unlock more value

from existing investments and position your organization to stand apart in 2027.
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Make AI capability your competitive edge.

Register for this webinar to discover how to close the gap between AI adoption and performance, build AI-capable teams, and turn your investment into measurable business results.

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