In this episode of Future Proofed, host Kyle Coleman interviews Ayalla Goldschmidt, a Solutions and Product Marketing Leader at ServiceNow, about their AI implementation journey.

Key highlights:

1. Bottom-up AI adoption: Ayala's team started small, experimenting with AI tools like Copy.ai for product marketing tasks. This grassroots approach allowed them to demonstrate value before seeking wider organizational buy-in.
2. Practical use cases: Early applications included researching industry trends, developing personas, and content creation assistance. The team found AI particularly helpful for adapting content for different audiences and formats.
3. Overcoming skepticism: By showcasing concrete examples and encouraging experimentation, Ayala's team was able to generate excitement and drive adoption across the marketing organization.
4. Scaling implementation: What began as a small pilot expanded to over 200 licenses across product marketing and digital teams, with potential for further growth.
5. Best practices: Ayala emphasizes the importance of learning effective prompting techniques, having humans review AI outputs, and codifying processes into reusable workflows.
6. Change management: Ayala highlights the critical role of change management principles in driving AI adoption, including stakeholder buy-in and demonstrating value.
7. Tool selection criteria: ServiceNow chose Copy.ai for its ease of use, pricing model, and long-term workflow capabilities that aligned with their company DNA.

Ayala's advice for AI implementation:

• Start small with early adopters
• Learn to prompt effectively
• And focus on removing friction from existing processes.

By taking an iterative approach and demonstrating clear value, organizations can successfully integrate AI into their workflows.

In this episode of Future Proofed, host Kyle Coleman speaks with Jim Holben, CMO of Defendify, about leveraging AI to scale marketing efforts and drive efficiency.

Want quick access to Jim Holben's AI Cheat Sheet? Click here to get the 9 AI Content Workflows that Jim uses to save $200,000/year in content.

Key Themes Covered:

1. AI as a Marketing Multiplier: Jim discusses how AI allows his small team to produce content at scale, turning "a couple of hands into seemingly 10, 15 hands." He emphasizes viewing AI as a productivity tool rather than a job replacement.

2. Content Creation Workflows: Jim outlines his AI-powered content creation process, which includes using technical writer briefs to generate blog posts, social media content, and executive thought leadership pieces.

3. Human-AI Collaboration: Both Jim and Kyle stress the importance of human oversight and strategy in AI workflows. As Jim notes, "Even while we're leveraging AI...there is a human element to creating this stuff."

4. ROI and Efficiency Gains: Jim estimates his AI initiatives have added over $200,000 in content value this year. He advocates for an "AI-first" mindset to maximize marketing ROI, especially for early-stage companies.

5. Future of AI in Go-to-Market: The discussion explores how AI could break down silos between marketing, sales, and customer success to create more unified customer experiences.

Notable Quotes:

• "We are out of that growth at all costs era. We're in the growth at the right cost era." - Jim Holman
• "Multiplying the impact of the strategic thinkers, the domain experts who know what good looks like, that's the value of AI." - Kyle Coleman
• "AI is not the Ozempic for content, right? Like you still have to go to the gym. You still have to put in the work, build those muscles." - Jim Holman

This episode provides valuable insights for marketers looking to harness AI's potential while maintaining quality and strategic focus. Jim's practical examples and ROI calculations offer a compelling case for AI adoption in marketing workflows.

In this episode of Future Proofed, host Kyle Coleman speaks with Jean English, CMO of Juniper Networks, about successfully implementing an AI strategy across marketing and go-to-market teams.

Key Highlights:

• Jean emphasizes the importance of data quality and architecture as foundational elements for any AI implementation.

• Juniper standardized processes and workflows to enable AI-powered content creation and personalization at scale.

• To drive adoption, Jean focused on empowering all team members to use AI tools like Copy.ai, rather than setting strict productivity goals.

• Results have been dramatic, with 9x higher email open rates and 4-5x more sales meetings generated.

• Cross-functional alignment through an AI governance council helps ensure responsible use across the organization.

By standardizing processes, improving data inputs, and empowering teams, Juniper transformed marketing from reactive to proactive - delivering more personalized, relevant content with greater efficiency. Jean sees AI as a "superhero cape" that allows marketers to focus on higher-value strategic work.

The key is starting with some simple use cases, demonstrating value, and building on that success across the organization. As Jean notes, "Success breeds success."