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Encouraging your team to use AI to produce more content sounds like a win (and let’s be honest, a requirement now) until a blog post goes out with the wrong product name, a sales email sounds nothing like your brand, or a chatbot confidently answers a question it has no business answering. Scaling AI-assisted content creation is not just a technology decision; it is a brand trust decision.
In this session, Sarah Beaver, Marketing Director at OperationsHERO, shares the practical systems she has built to let her entire team (including team members who are not marketers) produce written content at scale without losing the voice, accuracy, or credibility that makes it worth sending. Drawing on real implementation experience in a lean, fast-moving marketing environment, she will walk you through the guardrails that actually work: from brand voice documentation and prompt guidance to human review checkpoints and product accuracy protocols.
If your team is already using AI to write, or you are trying to get there without losing control of your brand, this session gives you a framework you can put to work immediately.
Key Takeaways:
- How to build a brand voice guide that AI can actually use, moving beyond vague adjectives to specific, trainable language patterns your whole team can apply.
- Why product accuracy is the highest-stakes guardrail in AI content creation, and how to build review workflows that catch errors before they reach your audience.
- A practical framework for onboarding non-marketing team members to AI content tools without sacrificing brand consistency or credibility.
- How to structure prompts and system instructions so AI outputs sound like your brand, not like every other company using the same tool. (Game changing anyone?)
- The human checkpoints that matter most: where to keep people in the loop, and where it is safe to let AI run.
Sarah Beaver
Director of Marketing
OperationsHERO