Answer extracted from the Unprompted: Real AI in IC podcast — listen to the full episode below.
What AI learning framework should internal communicators actually adopt?
The Anthropic AI Fluency course—free and structured around the four Ds (direction, diligence, delegation, and discernment)—is the framework Amanda recommends for internal communicators learning AI. Discernment emerges as the most critical pillar: knowing when to use AI, when to step back, and how to maintain your own judgment. Beyond technique, Amanda stresses that internal communicators must remember their own humanity and expert value remain irreplaceable assets in an AI-driven world.
The four Ds provide a practical scaffold that moves beyond simple tool literacy. Direction means knowing your intent before touching an AI tool—clarity about what you're trying to solve or explore. Diligence is about rigorous testing and validation; you don't accept AI output at face value. Delegation is understanding which tasks genuinely benefit from AI assistance versus which need your human expertise and judgment. And discernment ties it all together: the ability to step back and ask whether AI is truly the right lever for this moment.
As Amanda explains in the episode, this framework emerged from her own experience navigating AI as both an individual practitioner and a leader guiding teams through adoption. She's clear that the course is free and accessible, removing any barrier for communicators who want structured guidance without the noise of vendor marketing or hype.
Why discernment matters more than speed
Internal communicators often feel pressure to move fast—to embrace AI, automate faster, ship content quicker. But discernment asks the harder question: Is this the moment for speed, or is this the moment for human voice, nuance, and judgment? Discernment is about knowing the difference, and Amanda underscores that this is the foundation on which all other AI use rests.
This connects directly to a broader truth she returns to throughout this conversation: your expertise as an internal communicator—your understanding of organizational culture, your ability to sense what a message truly needs, your credibility with teams—doesn't disappear because AI exists. These human strengths complement AI; they don't compete with it. The framework works only if you hold onto that clarity.
"Where I start with AI, I find myself just getting a mess. Where I start with my own work and then use AI to enhance and challenge, that's where it works best for me."
Amanda Atkinson — Communication and Culture Leader at the Science Based Targets Initiative and Founder of Create Connect. Over seven years at Salesforce leading internal comms for EMEA, Amanda developed a deep tech-driven mindset and now positions herself as an AI intrepid explorer, committed to exploring AI's possibilities while honestly acknowledging the learning curve ahead.
This insight—starting with your own clarity before adding AI into the equation—mirrors the "direction" pillar of the framework. Too many communicators throw their half-formed ideas at ChatGPT or Claude, hoping AI will rescue them. Instead, Amanda's path reverses that: own your thinking first, then let AI enhance or challenge it. A detailed breakdown of how to apply this practically in your daily workflow appears in Amanda's method for capturing organizational insights, which complements this framework beautifully.
Holding onto your humanity in an AI world
Perhaps the most grounding part of Amanda's answer is her reminder: AI is exciting and must be embraced, but internal communicators must not forget their own humanity and the expert value they bring. That value is not going anywhere. The framework acknowledges AI as a genuine tool—powerful, useful, worth learning—while rejecting the narrative that adopting it means abandoning who you are or what you know.
For a full discussion of how this plays out in team dynamics and strategic work, explore Amanda's thoughts on AI productivity gains versus strategic work, where she digs into why simply saving time doesn't automatically translate to better outcomes.
Key takeaways
- The Anthropic AI Fluency course provides a free, structured framework built on four pillars: direction, diligence, delegation, and discernment.
- Discernment—knowing when to use AI, when to hold back, and when to trust your own judgment—is the most important element of the framework.
- Start with your own clarity and expertise first; use AI to enhance or challenge your thinking, not to rescue half-formed ideas.
- Your humanity and expert value as an internal communicator remain irreplaceable, even in an AI-driven environment.
See also
What is the relationship between AI productivity gains and strategic work in internal communications?
Amanda cautions against the common narrative that AI saving you time automatically frees you for strategic work. She argues that if you are struggling to define what strategic work means for you, saved time will simply be filled with more busy work rather than meaningful impact.
How can internal communicators practically capture and synthesize organizational insights using AI?
Amanda uses a personal Slack channel where she captures ideas, voice notes, videos, forwarded emails, and files throughout her day. She then synthesizes this raw material using AI tools to surface patterns and derive actionable insights from the noise.
Does AI need to lead data analysis work, or does the user need clarity on desired outcomes first?
Amanda believes you absolutely need to know what you want to get out of it and have a strong point of view. While there is merit in exploring what AI tools can reveal, starting with clear objectives ensures AI serves your purpose rather than leading you astray.