07/05/2025
Harnessing AI in Public Affairs
Below is a copy of an article I posted on LinkedIn.
https://www.linkedin.com/pulse/harnessing-ai-public-affairs-46x-lwine
Welcome
Public Affairs professionals are no strangers to change. But the pace, scale, and uncertainty of today’s information environment demand more than adaptation—they demand transformation. Artificial Intelligence (AI) is not just another tool in the kit. It’s a force multiplier that can help communicators move faster, see farther, and act with greater precision.
This guide offers a starting point for communicators who want to partner with AI, not as a replacement for human judgment, but as a complement. The goal is to help Public Affairs Officers (PAOs) and communication professionals understand how AI can support their mission and how their existing skills can translate into this new terrain.
Why This Matters
The Department of Defense (DoD) is investing heavily in AI to maintain a decision advantage. But decision advantage isn’t just about targeting or logistics—it’s also about narrative. In contested environments, the ability to detect, shape, and respond to information is a strategic imperative. Public Affairs is critical in this space, and AI can help.
In today’s digital age, leveraging artificial intelligence (AI) can significantly enhance public affairs practices. AI saves time with research, analysis, forecasting, and logical assessments—transforming what could take months into weeks.
What This Guide Covers
A framework for understanding AI’s role in communication
A link to a matrix mapping PA skills to AI-enabled tasks (See Annex A:)
Prompt examples to help communicators engage with AI tools
Key considerations for integrating AI into planning and ex*****on
This is not a technical manual. It’s a strategic primer for communicators who want to lead—not lag—on AI adoption.
AI as a Force Multiplier
AI can help communicators:
Sense the environment through media monitoring, sentiment analysis, and trend detection
Understand the landscape by synthesizing large volumes of data
Act with speed and precision through content generation, audience targeting, and campaign optimization
But AI is not autonomous. It requires human direction, oversight, and ethical grounding. That’s where communicators come in.
Case in point: this guide and its annexes would have taken me four months without AI, but I completed them in just two weeks.
1. The Challenge of Collaboration
Despite its capabilities, AI isn’t a complete solution. It requires careful editing, development management, and result verification.
Preparation is key. Here are some practical steps when integrating AI into your workflow:
Separate Discovery Sessions Start with sessions focused on general discovery and research.
Define Clear Goals Write out your objectives and ensure you have access to reliable data and references. In my experience, lacking this preparation led to unnecessary restarts.
2. Experimenting with AI
Before delivering any products, it’s vital to experiment with AI tools to understand their strengths and limitations.
Practicing with AI helps you create final outputs that blend your insights with AI-driven research.
For this project, I used Copilot and Grammarly AI to assist in drafting this guide, its annexes, and prompt workflows.
Primary aim: Empower communicators to use AI for:
Media monitoring
Brief and report building
Developing PA guidance and campaign plans
3. Maximizing Resources with AI
Communication teams often operate under tight budgets. AI offers a cost-effective alternative to traditional monitoring and analytics systems.
Use simple prompts to:
Uncover hidden trends
Refine messaging
Predict audience responses
Align communications with strategy
Test narratives for potential risks
Ultimately, AI enables communicators to focus on campaigns while enhancing efficiency through robust research and analysis.
⚠️ Important Note:
Be cautious when using commercial AI tools. Do not upload Controlled Unclassified Information (CUI) or sensitive content to public systems—AI is typically cloud-based.
4. Accessing AI Safely
For communicators within government networks:
Consult your CIO to vet stand-alone AI systems that can operate offline
Use AI on classified networks for secure analytics when needed
This enables risk and opportunity assessments to support unclassified planning and public messaging without compromising information security.
Table of Contents
1. Monitoring and Evaluating the Information Environment
2. Designing and Refining Messages with AI
3. Planning Campaigns, Crisis Response, and Exercises
4. Integrating AI into the PAO Workflow
Additions:
Annex A and B: AI Process Guide and Use Cases: https://drive.google.com/file/d/157za8GVzdisKMM_xxNzOvOZSjBtRv--1/view?usp=sharing
Full Paper for download:
https://drive.google.com/file/d/1KS0tQ3fFbv9TyTkA4rBclHdLWpob6TG1/view?usp=sharing
1. Monitoring and Evaluating the Information Environment
AI empowers public affairs teams to stay ahead of narratives by:
Scanning for emerging events across languages
Tracking audience tone changes
Comparing past engagements with present patterns
AI helps identify risks, forecast challenges, and recommend smart engagement strategies.
Prompts to Monitor Media and Trends
“Search for recent news and social media posts about the upcoming joint exercise in Alaska. Summarize tone and highlight concerns.”
“Analyze public reaction to [topic] over the last 60 days. Assess tone shifts.”
“What are the top three narratives emerging around [event]?”
AI Can Deliver:
Narrative summaries and tone maps
Performance snapshots
Early risk indicators
2. Designing and Refining Messages
AI sharpens communication by:
Comparing environmental context to draft messaging
Flagging ambiguity or risky phrasing
Simulating audience reactions
Use AI to:
Rewrite content for clarity and empathy
Align messaging with command guidance
Anticipate audience responses for better targeting
3. Planning Campaigns, Crisis Response, and Exercises
AI can help plan and rehearse campaigns, exercises, and crisis responses by:
Forecasting tone shifts
Drafting injects across timelines
Simulating audience reactions across key phases
This enables communicators to design flexible, phased plans anticipating engagement challenges and stakeholder expectations.
Use AI to:
Sequence messages by event phase—preparation, ex*****on, recovery
Simulate reactions from civic, family, and international audiences
Forecast narrative drift and adversarial exploitation
Draft injects and “pressure tests” for tabletop or live exercises
Prompt Examples:
“Build a 14-day comms plan for this operation, with tone shifts for each phase.”
“Simulate how base families, local reporters, and foreign media might respond to this announcement.”
“Generate three possible narrative drift scenarios for use in an exercise.”
“Draft injects to stress-test our response posture.”
What AI Can Deliver:
Phased messaging playbooks
Stakeholder tone simulations
Inject decks for training or TTX
Campaign visuals for internal coordination
Product Outputs:
Timing sensitivity reports
Narrative drift forecasts
Stakeholder reaction playbooks
Audience engagement curves
4. Integrating AI into the PAO Workflow
Treat AI as a team member, not just a tool—an embedded force multiplier for daily and weekly battle rhythms. Used consistently, AI sharpens foresight, raises the operational tempo, and frees up bandwidth for deeper human judgment.
Daily Applications:
Morning scan of the communication environment for tone shifts and emerging risks
Midday audience tracking and media mapping
Brief preparation with sentiment analysis and validator quotes
Weekly Rhythm:
Monday: Set tone guidance for upcoming events
Midweek: Audit message consistency and resonance
Friday: Package narrative summaries and trends for senior leaders
Sample Prompt Toolkit
Morning Scan:
“Analyze today's media coverage for tone shifts related to [event]. What are the key sentiments expressed?”
“Identify emerging risks in social discussion around [topic]. Summarize notable shifts.”
Midday Analysis:
“Track audience engagement metrics related to recent announcements. What’s changing?”
“Create a media map for [topic]—key narratives, platforms, players, and positions.”
Brief Prep:
“Generate validation quotes from trusted voices on [topic].”
“Quantify this month’s sentiment shifts. What’s rising, falling, or fragmenting?”
Weekly Planning:
Monday (Tone & Message Setup):
“Recommend tone guidance and key points for [event] on [date].”
“Audit last week’s content and flag areas for tone realignment.”
Midweek (Consistency Audit):
“Review this week’s comms for inconsistencies or message dilution.”
“Assess the resonance of our messages in local and foreign media.”
Friday (Narrative Trends):
“Summarize the week’s top narrative trends. What should senior leaders note?”
“Prepare a briefing package with audience sentiment and risks to watch.”
Final Thought
AI is here. The question is not whether communicators will use it, but how. This guide is a first step toward answering that question with clarity, confidence, and purpose.
Public Affairs doesn’t need permission to lead in this space. With the right mindset and tools, communicators can shape how AI is used within their teams and across the broader information environment. The future of PA isn’t automated. It’s augmented—and it’s already underway.
💬 What are your experiences with AI in public affairs? I’d love to hear what worked or didn’t in the comments.
Link to paper: https://drive.google.com/file/d/1zDwDUEDIq6pRi3buOXty0-lzv5HLRqSe/view?usp=sharing
Link to annexes: https://drive.google.com/file/d/1TFAuWHByDS01r3Y2WUEYWx39TRA4xwrt/view?usp=sharing
Harnessing AI in Public Affairs
A Practical Guide Introduction In today’s digital age, leveraging artificial intelligence (AI) can significantly enhance public affairs practices. AI saves time with research, analysis, forecasting, and logical assessments—transforming what could take months into weeks.