AI-Powered Internal Communications: Strategies for Success
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About this Executive Brief
Everywhere we look, it’s clear that Artificial Intelligence (AI) is having its breakout moment—especially in the world of work. 2023 has been a pivotal year for the development and adoption of generative AI tools, and we’re only seeing the tip of the iceberg with AI-powered chatbots, like ChatGPT, Microsoft’s Bing, and Google’s Bard.
Many communications professionals are optimistic about the possibilities that generative AI brings and see opportunities for streamlining the way they communicate, improving the content ideation and development process, and identifying trends and insights that can inform future strategies.
However, optimism is also mixed with caution and concerns, specifically around the ethical implications of AI and the potential threat that it poses to internal communication jobs.
We explored today’s current AI landscape for employee communicators in a webinar, Harnessing the Power of AI: Best Practices for Internal Communications Teams with Mark Dollins, President of North Star Communications Consulting. The full webinar is available for you to watch here—but we’ve wrapped up the key takeaways in this executive brief.
Here, we’ll explore how organizations are successfully incorporating AI in their internal comms strategies, tips for adopting AI with an eye toward ethics, compliance, values, and ESG (Environmental, Social, and Governance) strategies, and share some benchmark survey data that illustrates the current AI adoption among professional communicators.
Whether you’re already using AI as part of your comms strategy or you have yet to dive into the AI tools that are available today, keep reading to learn helpful and practical insights on how to leverage AI for employee comms.
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The Internal Communications Measurement Masterclass & Playbook
Internal communicators measure plenty. Open rates, click-throughs, attendance, views, and reach—most IC teams have dashboards full of the stuff. What they struggle with is proving that any of it made a difference to the business. And business impact is the only measurement their leaders genuinely care about. It's a gap most IC practitioners feel acutely. Gallagher's 2026 Employee Communications Report found that seven in 10 internal communicators still measure only basic activity metrics, and fewer than one in eight measure business impact. Measurement is the weakest capability in their global readiness model, and teams relying only on activity data are the ones struggling most to demonstrate their value. This is a two-part guide built to close that gap. Part One is the Masterclass. It sets out why outcome measurement matters, the frameworks that make it manageable, and the principles separating measurement that proves impact from measurement that just fills a dashboard. Part Two is the Playbook. It's the templates, the worked example, and the sample dashboard—the practical tools you'll need for a successful comms campaign. Read the Masterclass for the thinking. The Playbook is where you'll find the tools to put it into practice. We hope you find them useful. Tim Vaughan Editorial Director, Poppulo
The Internal Communications Measurement Masterclass & Playbook—Part Two: The Playbook
Many IC teams measure and report on what's easy to count: email open rates, video views, all-hands attendances. Outputs that leadership don’t much care about. They want to know whether communications actually changed anything—whether people understood something important and whether behavior looked different afterward. Leaders want proof of impact, they want to see results. Outputs don't give them that. Outcomes do. Part One of this paper, the Measurement Masterclass, clearly showed why. Here, Part Two gives you the tools to measure outcomes: four templates you can fill in for your own campaigns, plus a full worked example showing all four completed together, so you can see how they fit before you use them yourself. What’s inside: The Know/Feel/Do Framework. Defines what a specific audience needs to know, feel, and do as a result of your communication—specific enough to measure. One template per audience segment. The Outcome/Output/Measurement Plan. For each outcome, sets out the communication tactic you'll use and how you'll measure whether it worked. This is the template you'll use most. The SMART Objectives Worksheet. A short exercise for turning a vague goal into a specific, measurable one, with a number and a deadline attached. The Power/Influence Grid. Maps your audience by power and attitude—champions, supporters, blockers, detractors—so you know where to put your effort. A worked example. All four templates completed end-to-end for a company-wide AI policy rollout, so you can see the whole process applied to one campaign from start to finish. A sample measurement dashboard. A one-page example of how to present outcome data to leadership. Written by Andrew Hubbard, Senior Director of Communications at Poppulo, and Joanna Hall of Afire Consulting.
The AI Toolkit for Internal Communications
Internal communication is under real pressure. IC teams are expected to support leaders, shape culture, and deliver relevant, personalized communication to an increasingly diverse audience—all while operating at greater speed and scale than ever before. AI arrives at the right moment. It doesn’t replace communicators; it elevates them. Applied well, AI sharpens the fundamentals of effective communication: diagnosing issues, shaping the narrative, guiding leaders, and delivering messages that connect people to purpose and progress. At its best, AI accelerates drafting, adapts content for different formats, improves accessibility, and surfaces insights about what’s landing. Without governance, though, it can create noise or risk. The opportunity for IC teams is to bring AI in thoughtfully, with governance and human judgment at the center. This guide shows how to do exactly that. Inside, you’ll find practical guidance on when to use AI, where humans remain essential, how to establish guardrails, how to prompt effectively, and how to scale AI responsibly across channels and teams.