• AI Implementation Strategy at ServiceNow: A Bottom's Up Approach

  • 2025/01/23
  • 再生時間: 27 分
  • ポッドキャスト

AI Implementation Strategy at ServiceNow: A Bottom's Up Approach

  • サマリー

  • 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.

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あらすじ・解説

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.

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