On-demand webinar
Smarter Marketing in 10: Internal Adoption of AI
AI is evolving quickly, but most teams are overwhelmed by too many tools and not enough clarity. The challenge isn’t access to AI — it’s building a clear, repeatable approach to using it effectively.
You’ll learn:
- How to cut through tool overload and focus on what matters.
- Why adoption should come from the middle and bottom of your organization.
- How AI ambassador programs drive cross-team adoption.
- Tips for moving from experimentation to scalable workflows.
AI Adoption by the Numbers
1%
of companies say they’ve reached AI maturity, despite widespread investment.
$3.5T
(trillion) estimated annual economic value AI could add across industries.
40%
average productivity gains are reported from effective AI adoption.
1 in 3
employees pay for AI tools out of pocket because their company hasn’t provided access.
The Gap Between Using AI and Actually Adopting It
AI usage is spreading quickly across teams, but it often remains fragmented and short-lived. Without a defined approach, early wins don’t translate into lasting impact across the organization:
- Teams build useful workflows that never get shared or scaled.
- Similar problems are solved multiple times across different teams.
- Momentum stalls as tools and approaches constantly change.
- Time invested in AI doesn’t consistently lead to measurable outcomes.
This session outlines what it takes to turn early AI usage into something repeatable and scalable.
thought leaders
Your Speaker Lineup
Kimberly Anderson-Mutch
Director of Content
As Director of Content at Go Fish Digital, Kimberly Anderson-Mutch leads the development of integrated marketing programs designed to drive growth across B2B and enterprise audiences. Her work centers on unifying content, search, PR, and paid strategies into cohesive go-to-market initiatives that improve lead quality.
Calvin Nichols
SVP of Product Development
Calvin Nichols is SVP of Product Development at Go Fish Digital, where he leads the development of Barracuda and its AI-driven capabilities. He focuses on building custom modules and tools that translate complex data and AI systems into practical applications, often developing bespoke solutions for enterprise brands on rapid timelines.
Watch the Session
In just ten minutes, see how teams move from scattered AI usage to a structured, scalable approach and walk away with practical ways to turn experimentation into real impact.