AI as a Practical Partner for Technical Writers

In this webinar, Stephanie Rosenberg, President of Rosencraft LLC, shared practical, real-world examples of how AI supported technical writing activities while reinforcing the importance of human expertise, judgment, and accountability.

Drawing from more than 30 years of experience in documentation systems, editorial governance, and content workflows, Stephanie demonstrated how AI accelerated processes without compromising quality, accuracy, or clarity.

What the Webinar Covered

Through five real-world case studies, attendees explored how AI was used as a practical partner across different technical documentation projects.

Building Internal Content and SharePoint Experiences

Stephanie explained how she leveraged AI while creating a new Center of Excellence (CoE) SharePoint site from scratch. AI helped with:

• Recommending page structures and information architecture
• Suggesting section layouts
• Supporting research and content development
• Providing a starting point when facing a blank page

Accelerating Understanding of Unfamiliar Topics

The webinar highlighted how AI helped transform more than 100 slides of consultant-created material into usable documentation. AI helped:

• Explain unfamiliar concepts and terminology
• Translate complex consultant language into plain language
• Create an initial documentation framework
• Speed up the learning process

Simplifying Complex Compliance Standards

Stephanie also shared how she used AI when preparing for a complex compliance audit. AI supported the process by:

• Translating regulatory requirements into actionable language
• Creating an initial evidence-tracking framework
• Suggesting spreadsheet structures and categories
• Helping teams move from uncertainty to a workable starting point

Summarizing Video Content at Scale

One of the featured use cases focused on managing and summarizing large libraries of recorded presentations. AI enabled Stephanie to:

• Extract insights from video transcripts
• Generate consistent summaries
• Identify key discussion topics
• Organize content into smaller, searchable segments

The session also emphasized the importance of prompt engineering and human review throughout the process.

Improving Documentation Search and Discoverability

The final case study explored how an AI-powered search agent was used to enhance access to health documentation. The solution helped:

• Improve content findability
• Uncover outdated documentation
• Identify knowledge gaps
• Better understand user search behavior

At the same time, Stephanie discussed the risks of AI hallucinations and the importance of verifying AI-generated answers before publishing them.