Webinar
The Doc Owner: What Technical Writing Looks Like After AI
Date/Time
05 August 2026, 02:30 pm UTC
Duration
1 hr
Register for Free
Speaker

Artificial Intelligence has transformed how documentation is created, enabling teams to generate content faster and at greater scale than ever before.
Yet while creation has become effortless, ownership remains a growing challenge.
Organizations today are not struggling to produce documentation; they are struggling to keep it accurate, relevant, aligned with the product, and capable of delivering measurable outcomes.
As documentation volumes increase, content often becomes outdated, fragmented, and disconnected from the customer experience, creating gaps that impact product adoption, support efficiency, and user trust.
The challenge becomes even more significant in an AI-driven world where documentation is no longer consumed solely by people.
AI assistants, copilots, chatbots, and intelligent agents increasingly rely on documentation as a source of truth to guide customer interactions and decision-making.
When documentation lacks accountability, errors and inconsistencies can quickly scale through these systems.
This shift demands a new approach, one that treats documentation as a strategic business asset rather than a content deliverable.
In this webinar, Heitor will introduce Doc Owner, a role focused on ensuring documentation remains accurate, governed, discoverable, measurable, and continuously aligned with evolving products and customer needs.
We will explore how organizations can move beyond content creation to establish clear ownership, build effective feedback loops, define meaningful success metrics, and create documentation that delivers value to both human users and AI systems.
Key Takeaways
By the end of this session, you will be able to:
- Identify documentation ownership gaps in your organization
- Recognize common failure patterns before they impact customers
- Define what a Doc Owner role could look like within your team
- Establish documentation governance and accountability models
- Create meaningful success metrics for documentation
- Build documentation that serves both human users and AI systems
- Raise the quality standard for technical content in the age of AI
About the Speaker
Heitor José Tessaro is COO at WriteChoice. He has spent the last five years working across dozens of projects with development teams, engineering managers, and CTOs at API-first and SaaS companies. His electrical engineering background shapes how he reviews products and collaborates with technical stakeholders.