Content creation and message alignment
Drafting newsletters, intranet posts, and leadership updates in multiple languages — tailored to different audiences, tones, and company narratives.
AI Maturity Quiz
Thanks for taking the AI Maturity Quiz! Use the score from your results email for an overview of your score and tailored recommendations to strengthen your AI approach.
AI is redefining how work gets done. For internal communicators, it’s opening the door to move from process to impact, in areas like:
Content creation and message alignment
Drafting newsletters, intranet posts, and leadership updates in multiple languages — tailored to different audiences, tones, and company narratives.
Personalization and targeting at scale
Segmenting messages by role, region, or preference to ensure communications resonate authentically.
Feedback and sentiment analysis
Summarizing employee comments, analyzing mood trends, and surfacing real-time insights to guide leadership and communication strategy.
Use your score as a guide and see how you stack up.
You’re beginning to explore AI and experimenting to see what’s possible — but AI hasn’t made a big impact on your daily work yet.
This is the perfect stage to build confidence by experimenting with a few safe, simple use cases and learning from peers, whether that’s a key person or resource in your organization, or through trusted industry communities and learning networks.
Message volume and channel overload make it harder for critical information to cut through the noise in today’s complex digital workplace. AI offers a way to change that. By connecting systems, simplifying access, and reducing noise, it can help employees find what they need and stay aligned with company goals, whether they’re at a desk or on the front line.
The focus shouldn’t just be on AI’s impact on productivity; it’s about using those time savings to close communication gaps. This requires rethinking the role of internal communication from distribution to strategic enablement.
Our research finds the biggest barrier to scaling is not employees—who are ready—but leaders, who are not steering fast enough.
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McKinsey & Company
The way we search, find, and interact with information has fundamentally shifted in recent years — but the workplace hasn’t caught up. Studies show while AI adoption is high outside of work, it remains uneven in the workplace, largely due to gaps in leadership readiness.
Workers who feel empowered by their tech are 158% more engaged and 61% more likely to stay beyond three years. This puts a bigger responsibility on leaders who manage digital workplace tools.
Collaboration across key departments responsible for the digital employee experience — especially among internal communications, HR, and IT teams.
By connecting systems, layering in deep personalization, and making information accessible, organizations can bring consistency and simplicity across the employee journey — reducing noise for desk workers and transforming the experience for those on the front line.
Building an information backbone
Consolidate policies, FAQs, and topic pages so AI can pull from a single source of truth instead of scattered articles.
Enriching content with metadata
Tag content by country, role, or format (e.g., vacation policies by region), making it easier for AI to surface the right information.
Using AI for intranet monitoring
Let AI flag outdated pages, cross-check news against static policies, and suggest updates, keeping humans in the loop until maturity grows.
Personalizing through context
Leverage employees’ past questions, preferred channels, and feedback to tailor responses and content delivery.
Setting clear AI guardrails
Create an AI trust hub where comms teams can decide what’s switched on, what’s off-limits, and how AI engages employees.
Prioritizing narrative over noise
Instead of measuring clicks on individual articles, use AI to analyze how employees' understanding of a topic shifts over time. This changes the role of internal communicators from “storytellers” to “narrative builders.”
Ensuring explainability for adoption
Treat AI as a transparent tool, not a black box, so leaders and employees understand where information comes from and why it’s shared.
Coordinating across key teams
Ensure internal communications, HR, and IT align on a trusted AI-native digital workplace tool. Work from shared playbooks to avoid duplication, shadow tools, and fragmented employee experiences.
Clear governance and guardrails
Define clear accountability for risk, accuracy, and compliance so AI use remains transparent and defensible.
Unified metrics and outcomes
Move beyond disconnected KPIs by aligning on shared measures of engagement, adoption, and impact across functions.
Adapting to different workforces
A deskless worker might prefer an AI-powered podcast or voice note, while a desk worker might rely on search summaries or chat assistants.
Enabling self-service at scale
Allow employees to ask AI about policies (“How many vacation days do I have left?”) and get reliable answers instantly.