Conference: Oct 5-6
Workshops: Oct 7
Deploying AI to Amplify Content Operations and Product Writing Outcomes
Chris Boggs (Chief Organic Strategist, Overit)
Date: Tuesday, October 6
Time: 10:15 am - 10:45 am
Pass Type:
All Access, 3-Day, 2-Day, Digital -
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Audience Level:
Intermediate
Track:
AI Systems & Content Tech
Vault Recording: TBD
Audience Level: Intermediate
AI is rapidly transforming how content work gets done. From drafting and iteration to governance, measurement, and search discovery, teams have new options for speed and leverage. But many content design and content strategy organizations remain stuck in experimentation. A few prompts here, a tool trial there, and then the work snaps back to the old way because the underlying system is still the bottleneck.
This talk is designed for content designers, UX writers, content strategists, and content operations leaders who want a practical framework, not hype. Chris Boggs will begin with one essential question: where are your content systems breaking down?
Most teams can name the symptoms: inconsistent voice, slow reviews, fragmented design system guidance, unclear ownership, duplicate content, and content that is hard to find once it ships. Those friction points are usually the best places to apply AI, not as a replacement for expertise, but as a force multiplier that makes strong content practice easier to execute consistently.
Chris will guide attendees through a step-by-step approach to:
- Audit your current content workflow from intake through publishing and iteration
- Map the highest-cost friction points and identify what is truly automatable versus what requires human judgment
- Choose AI use cases that improve real outcomes, such as faster production with fewer revisions, clearer UI copy, better adherence to content standards, and more resilient content models
- From there, the session will explore practical patterns for integrating AI into content operations, including how to use AI for content reuse and component-based writing, how to support structured content and content design systems, and how to build review loops that protect quality and accessibility.
It will also address findability in an AI-shaped search landscape, including how LLM experiences are changing discovery and what teams can do to make content more legible, retrievable, and trustworthy across both traditional SEO and emerging AI-driven results.
Finally, the session will cover governance: what to standardize, how to document decisions, and how to implement human-in-the-loop checkpoints that respect privacy, intellectual property, and user trust. The goal is not to adopt AI for its own sake, but to improve how content work happens, so teams can ship better experiences with less chaos.
Takeaway
- Learn how to audit and map your content workflow to identify the highest-impact breakdowns, and determine where AI can provide meaningful support.
- Understand practical AI use cases for content operations and content design systems, including improving consistency, reuse, review speed, and accessibility-supporting workflows.
- Gain a clear rollout framework for AI that improves quality, speed, and findability across both traditional search and LLM-driven discovery, with governance that protects craft and user trust.