I led the GenAI Innovation Team’s Productivity Solutions group to deliver the Engineering GPT Documentation Specialist, an AI Assistant that automates documentation from Jira ticket data. I drove project milestones, led team check-ins, delivered leadership presentations, and designed conversation workflows and a scalable AI persona to accelerate writer workflows, now live and in KPI measurement.
Overview
I led the GenAI Innovation Team’s Productivity Solutions group to deliver the Engineering GPT Documentation Specialist, an AI Assistant that automates release note drafting by pulling and summarizing Jira ticket data. Acting as both team lead and content designer, I drove project milestones, led team check-ins, and presented progress to leadership while designing the conversation workflows and scalable persona powering this tool. This solution streamlines documentation workflows and sets the stage for future AI-driven content automation projects.
The Problem
Writers needed a faster, more efficient way to draft accurate, consistent release notes. Challenges included:
Manual review of Jira tickets, requiring constant navigation between Jira and Confluence
Lack of a centralized solution for generating first-draft release notes
Inconsistent formatting and tone, increasing editing time and review cycles
No clear KPI baseline for measuring time spent on release notes workflows
The Solution
I guided the team through a structured, milestone-driven process to create the Engineering GPT Documentation Specialist:
Roadmap and milestone planning: Defined deliverables, timelines, and reporting to keep the team aligned and accountable
KPI collection: Measured baseline time required to draft release notes manually, providing data to track AI impact
Collaborative prototyping: Facilitated prompt testing and conversation workflow design with writers to refine outputs
Content design strategy: Consolidated research into a unified AI persona that delivers clear, formatted release note drafts from Jira ticket numbers
Team leadership: Led regular check-ins, drove collaboration, and ensured equal participation across writers and technical stakeholders
Executive engagement: Delivered presentations to leadership to align on goals, showcase prototypes, and secure ongoing support
The Outcome
The Engineering GPT Documentation Specialist is now live as a release notes AI Assistant and in KPI measurement to track time savings and quality improvements. Early outcomes include:
First-draft release notes generated in seconds, accelerating turnaround times
Increased writer efficiency, freeing time for strategic content work
Strong positive reception from leadership and writers, with a roadmap to scale the AI Assistant to “What’s New” content and other documentation tasks
Project Roles:
Team Lead
Content Designer