Answer extracted from the Unprompted: Real AI in IC podcast — listen to the full episode below.
How is AI fundamentally changing the role of internal communicators beyond just creating content?
AI is shifting internal communicators from being 'post boxes' that distribute messages to enablers who give others the tools to communicate well themselves. Rather than creating all content centrally, communicators can now guide managers and teams through AI-powered agents that help them craft their own messages, turning the role into one of strategic support at scale.
The transformation addresses a real challenge facing internal comms teams today. As explained in Unprompted: Real AI in IC, people across organizations are time-poor, yet they still need to communicate effectively with their teams. Instead of bottlenecking all requests through a central comms function, AI agents can distribute the capability to communicate well directly to the people who need it most—managers, team leads, and individual contributors.
This shift means internal communicators stop being the gatekeepers of every message. Instead, they become architects of systems that empower others. As Rebecca Lindsay describes it: "We want to be giving you the tools to do great comms yourself, and that is precisely what AI can enable us to do at scale."
From bottleneck to enabler: redefining the internal comms role
Traditional internal communications operates as a centralized function—messages flow through the comms team, creating inevitable delays and a dependency on their capacity. This model breaks down when organizations need rapid, localized communication from managers and team leads. AI agents solve this by placing communication tools directly in the hands of those who need them, guided by frameworks and guardrails set by the internal comms team.
The role becomes less about authoring every message and more about ensuring that those messages—written by dozens or hundreds of people across the organization—align with brand voice, tone, and strategic intent. Rebecca Lindsay's work at Hyper Exponential demonstrates this in practice through AI agents that support everything from annual leave messaging to emotionally intelligent communications checking, freeing internal comms to focus on strategy rather than production.
This also enables better conversations between managers and their teams. When managers have tools to craft thoughtful, considered messages—rather than sending off-the-cuff replies—the quality of internal dialogue improves. The internal comms team becomes the strategic guide rather than the sole creator, multiplying their impact across the entire organization without requiring proportional growth in headcount.
"We want to be giving you the tools to do great comms yourself, and that is precisely what AI can enable us to do at scale."
Rebecca Lindsay — Internal Comms Manager at Hyper Exponential, where she leads AI enablement and experimentation with AI agents designed to democratize communication across the organization. Her work includes building tone of voice agents, annual leave assistants, and emotionally intelligent communications checkers that empower employees at all levels to communicate more effectively.
See also
What is the annual leave assistant agent and how does it help employees manage time off?
The annual leave assistant asks users when they're going on leave and when returning, offering to draft both internal and external out-of-office messages automatically, reducing administrative friction.
What is the role of layered data in building more effective internal communications strategies with AI?
Rebecca compiles a personal internal comms brain containing multiple data sources—survey results, employee satisfaction data, event information—enabling AI to provide contextually relevant guidance rather than generic recommendations.
How does an emotionally intelligent communications checker agent work and what are its limitations?
Rebecca created an agent that reviews communications against key principles of emotionally intelligent communication using a scoring rubric, helping communicators refine their messaging before it reaches their audience.
Key takeaways
- Internal communicators shift from being content creators to strategic enablers who build systems and tools for others to use.
- AI agents distributed across the organization allow managers and teams to create their own communications with guidance, multiplying the impact of the internal comms function.
- The internal comms role becomes about setting frameworks, guardrails, and quality standards rather than producing every message centrally.
- This model addresses the time-poverty challenge in organizations by removing bottlenecks and empowering rapid, localized communication.