Episode 3 of 3
AI First Teams – Real Examples of What Success Looks Like
Everyone is talking about AI, but very few marketing leaders can point to a workflow that is measurably faster, produces better work, and has earned the confidence of leadership. Teams are overwhelmed by new tools, struggling to prove ROI, and unsure where to begin. They don’t need another AI demo, they need proof that AI can solve a real business problem without sacrificing quality, governance, or brand trust. These pain points align closely with the recurring challenges TSG sees in mid-market B2B organizations: constrained bandwidth, pressure to deliver more without adding headcount, and uncertainty about how to measure success.
In the final session of this three-part series, Leslie Carruthers shares a real-world case study showing how one B2B marketing team transformed AI from an experiment into a repeatable operating model. Attendees will see how the team selected the right workflow, built custom AI assistants using trusted company knowledge, established human review and governance, and measured results that justified expansion. Rather than leaving with more theory, participants will leave with a practical roadmap for choosing one workflow, establishing a baseline, proving success, and building organizational confidence before scaling AI across the business.
What you will take away:
- Learn what actually separates successful AI adoption from organizations that remain stuck in experimentation.
- Understand how to identify the right first workflow for an AI pilot based on business value, repeatability, and measurable impact.
- Discover how governance, human review, and trusted company knowledge improve AI quality and reduce organizational risk.
- Learn how to establish meaningful before-and-after measurements that demonstrate ROI and build executive confidence.
- Leave with a practical framework for proving one successful AI workflow before expanding AI across the organization.
