How to Scale AI Across Your Med Comms Team

4 systems that bring consistency to your team's AI output

While listening to a recent episode of How I AI, it occurred to me just how much Med Comms can learn from engineers as we transition to a world where AI is becoming ubiquitous and we are faced with the challenge of determining when and how to leverage AI.

In this episode, Zach Davis (Director of Engineering at LaunchDarkly) shared how his 100+ person dev team is scaling AI adoption: central rules, content cleanup, and AI-assisted coaching. I took some time to think through how we can apply the same principles in Med Comms. Here’s what I came up with:

1. Create a Centralized AI Content Framework

Problem: Everyone's prompting AI differently. Outputs are inconsistent. Content quality varies wildly.

Engineering Insight: LaunchDarkly built a shared ruleset that works across tools (Devin, Claude, ChatGPT) and teams.

Med Comms Application: Build a lightweight AI Content Framework to standardize your team's approach across tools.

Try This Step-by-Step:

Inventory current usage: Ask Med Writers, Content Strategists, and other team members how they currently use AI tools.

Create prompt templates by content type: Examples: "Summarize key clinical findings from this manuscript," "Draft educational slide outline," "Create congress insight summary."

Define content parameters

• Preferred sources: Published literature, congress abstracts, approved materials

• Content types: Educational materials, slide decks, insight summaries

• Quality standards: Accuracy, citation requirements, brand alignment

Distribute as a living playbook: Store in your team's shared workspace with regular updates.

2. Use AI to Tackle Scientific "Content Debt"

Problem: Slide decks, insight summaries, and educational materials pile up and become outdated, duplicative, or unused.

Engineering Insight: Zach's team used AI agents to scan and prioritize technical debt.

Med Comms Application: Use AI to audit, sort, and clean up your scientific content library.

Try This Step-by-Step:

Export all content from the last 2 years: Include decks, insights, educational materials, and training PDFs.

Prompt AI to analyze and categorize: "Review this slide deck. Identify outdated references, inconsistent messaging, and content gaps. Summarize key topics covered."

Score each file using criteria like:

• Date of last update

• Strategic relevance

• Content accuracy

• Reusability potential

Generate a cleanup roadmap: Focus efforts on high-impact, frequently-used materials first.

3. Build Human-Friendly, AI-Optimized Educational Materials

Problem: Internal docs and educational content are long, dense, and hard to reuse.

Engineering Insight: "What's good for humans is good for LLMs." Zach emphasized that structured content helps both.

Med Comms Application: Use a modular documentation strategy for Med Comms materials.

Try This Step-by-Step:

Pick 1 frequently-used document: Choose an educational resource, content guide, or reference material.

Prompt AI to restructure it: "Reformat this content into modular sections with clear headers, executive summaries, and key takeaways. Make it scannable and reusable."

Create a content-ready format

• Add metadata (therapeutic area, content type, audience)

• Use consistent formatting

• Store in searchable locations

Test the improved format: Ask AI: "Based on this document, what are 3 key educational points for healthcare providers?"

4. Use AI to Enhance Content Review and Team Development

Problem: Feedback on content and team performance is inconsistent and time-consuming.

Engineering Insight: Zach's team built AI workflows to improve feedback quality and consistency.

Med Comms Application: Use AI to review content drafts and provide structured feedback with greater consistency.

Try This Step-by-Step:

Input content for structured review: Prompt: "Assess this educational slide deck for clarity, scientific accuracy, and audience appropriateness. Suggest 2 areas for improvement and 1 enhancement opportunity."

Customize by content type: Create variants for slide decks, manuscripts, digital content, or congress materials.

Create a feedback tracker: Use shared tools to collect AI-generated insights alongside human review.

Develop team capabilities: Share before-and-after examples to improve content creation and review skills.

Getting Started

Choose one strategy above, and pilot it with a small team over the next 30 days. Document what works, what doesn't, and how much time you save. Then expand successful approaches across your organization.

The teams that systematize AI adoption now will have a significant competitive advantage in 2026. Your content will be more consistent, your processes more efficient, and your team more capable.

Start tomorrow: Pick your highest-impact content challenge and apply the relevant framework above.

Disclaimer: The content shared on Med Comms AI is for informational and educational purposes only and reflects the personal views of the author. It is intended for professionals working in Medical Communications and related roles. This content does not constitute medical advice, promotional communication, regulatory guidance, or the official position of any company or organization. All examples, workflows, and prompts are illustrative and should be adapted with appropriate legal, medical, and compliance oversight before use in practice. AI tools and outputs referenced here are exploratory and should never replace expert review, quality assurance, or human judgment. Readers are responsible for ensuring that any application of these ideas complies with their local regulations and internal review processes.