Is your documentation workflow keeping up with the AI era?

Manual research. Scattered information. Too many tools.

Technical writers often switch between multiple systems to collect information, draft content, and publish documentation. This process can be slow and inefficient.

What if AI could help streamline this workflow?

In this session, we’ll introduce Model Context Protocol (MCP) — a new way for AI tools to connect with business systems and help automate documentation tasks.

Join us for a 30-minute live webinar to see how technical writers can use AI clients like Claude or ChatGPT to gather information, create drafts, and publish content to their knowledge base using Document360 MCP integration.

What you’ll learn

• What is MCP? – Understand Model Context Protocol and how it connects AI agents to business systems
• AI-Native Technical Writing – Learn how MCP enables technical writers to orchestrate research, drafting, and collaboration through AI clients
• Live Demo – See how Document360 MCP can be configured in Claude and used to publish content to your knowledge base
• Workflow Use Cases – Discover practical ways MCP can help technical writers gather information, draft documentation, and streamline publishing
• AI Agents for Customer Documentation – Learn how AI agents can leverage documentation to complete tasks and improve productivity

Who Should Attend?

Technical writers, documentation managers, developer documentation teams, and product teams interested in exploring AI-driven documentation workflows.

If you’re looking to bring AI into your documentation process and build AI-native workflows, this session will show you how MCP can help transform the way technical documentation is created and delivered.

Bonus: What You’ll Walk Away With

A clear understanding of how AI agents, MCP, and knowledge bases like Document360 can work together to create faster, smarter documentation workflows.

About the Speaker

Selvaraaju Murugesan received the B.Eng. degree in Mechatronics Engineering (Gold medalist) from Anna University in 2004 and the M.Eng. degree from LaTrobe University, Australia, in 2008. He has received his Ph.D. degree in Computational mathematics, LaTrobe University. He is currently working as a Senior Director of Data Science at Document360. His interests are in the areas of Business Strategy, Data Analytics, Artificial Intelligence, and Technical Documentation.