Kayce Danna is VP of Product at Markup AI, where she leads product vision, strategy, and execution. Markup AI delivers solutions that help organizations ensure their content is high-quality, on brand, and compliant across every workflow. With experience spanning product management, software development, and business strategy, Kayce focuses on creating practical tools that empower customers.

The Docs Are Not Alright (And AI Alone Won’t Fix Them)

The mandate is clear: adopt AI, move faster, and do more with less. But for technical communication teams, the reality is often messier. We’re already battling content rot, siloed information, and inconsistent terminology. Feeding these existing issues into a Large Language Model (LLM) doesn’t solve the problem — it simply scales your chaos. Generative AI is an incredibly powerful engine, but it lacks a steering wheel. Without strict control, fast quickly becomes risky.

In this session, we will explore why the most successful AI strategies aren’t built on prompt engineering alone, but on a foundation of content guardrails. We will discuss the critical role technical communicators play in defining the standards that keep AI honest, accurate, and on-brand.

In this session attendees will learn:

• The “garbage in, garbage out” multiplier: How to assess if your current documentation is ready for AI integration (and what to do if it isn’t).
• Guardrails vs. bottlenecks: How to automate style and compliance checks so you can enforce quality without slowing down the development lifecycle.
• The human-in-the-loop: Redefining the role of the technical writer from “drafter” to “architect” of content control.
• Scaling trust: Strategies for ensuring that as your content volume explodes, your consistency and accuracy remain rock solid.