AI-Assisted Product Messaging
Using AI to Accelerate Product Launch Messaging
Product teams move fast. By the time a new feature is ready for external conversation, the window to build internal alignment and prepare customer-facing teams is often weeks, not months. I developed a repeatable AI-assisted workflow to close that gap that transforms raw technical documentation in the form of BRDs and Jira exports into structured messaging frameworks that product leadership, marketing, and customer engagement teams can use immediately to socialize new functionality before release.
The Workflow
The challenge
New product functionality is documented for engineers — in business requirements documents and Jira tickets full of technical specifications, acceptance criteria, and system logic. Translating that into consistent, value-based messaging that product leaders can use in customer conversations requires significant synthesis work, and it typically happens too late to support early socialization.
My approach
Using McKesson’s enterprise Microsoft Copilot, I developed a structured prompt framework that I apply consistently across product launches. I upload the BRD and Jira export, then prompt Copilot to act as a seasoned healthcare technology product marketer — outlining the current challenge practices face, the impact of those challenges, what's changing with the new functionality, the value to practices, and the success metrics. The output is a structured overview document that becomes the single source of truth for all downstream content.
The prompt framework I use
Act as a seasoned professional in product marketing and communications in the healthcare technology industry for products serving community oncology. I'm going to share context that I want you to read. For content, I'll provide: the business requirements document and technical Jira information. Outline the current challenge community oncology practices face, and the impact of these challenges. Outline what's changing with this new functionality. Outline the value that practices will see and what the success metrics are. Create a document with this information that will provide an overview and value that can be used to help create future content that product, marketing, and customer engagement can use to create collateral.
Why it works
The prompt establishes a consistent persona and audience context, structures the output in a framework that maps directly to how customers think about value: outlining the challenge, the change, and the outcome. It produces content that can immediately feed presentations, emails, sales enablement materials, and customer communications.
Applied to
Five product launches to date, including the iKnowMed cloud migration communications featured in the Tech Comms section of this portfolio.
Example: Therapeutic Interchange Management
Therapeutic Interchange Management (TIC) is a new iKnowMed feature that allows oncology practices to configure preferred biosimilar defaults at the practice level, automating a process that was previously manual and inconsistency-prone.
Starting from the BRD and Jira documentation, I used this workflow to produce a structured overview and value framework — which was then developed into an executive presentation used by the Vice President of Customer Success and Head of Product Marketing for a summit meeting with our largest customer.
The AI-assisted overview document: View TIC Overview & Value Framework
The executive presentation built from it: View Slide Deck
The Result
A messaging framework that would typically take several days to develop from scratch — requiring interviews with product managers, review of technical specs, and multiple rounds of revision — is produced in a fraction of the time, with consistent structure across every launch. Product leadership walks into customer conversations and internal forums with a unified, value-based narrative rather than a features list.
This workflow directly supports one of the most important things a product marketer can do: making sure the organization talks about why something matters, not just what it does — before the product ever ships.