We need to talk.

Communication is changing.

Not just with AI — but across every digital environment where systems respond, simulate, and quietly shape how we think. The question isn't what these technologies can do. It's how we learn to communicate within them.

WHAT WE DO

Working at the intersection of
communication, learning, and emerging technology.

Not from a technical perspective. From a human one.

My focus is on how people interact within these evolving environments — how meaning gets made, lost, or flattened when systems enter the room. And how we design for something better.

WHAT WE OFFER

  • Every system that responds to a human being is making a design choice — whether or not anyone made it consciously.

    The pause before a voice assistant speaks. The way a chatbot asks a clarifying question. The tone a customer service bot uses when something goes wrong. These aren't technical details. They're communicative acts — and they shape how people feel, what they trust, and whether they come back.

    Dialogue architecture — mapping how conversations open, branch, recover, and close

    • Tone and voice development — defining how a system sounds across registers, user states, and cultural contexts

    • Avatar and persona design — building AI-facing identities that are inclusive, considered, and communicatively coherent

    • Failure and repair design — what happens when the system doesn't understand, and how it recovers

    • Cultural and linguistic audit — reviewing existing systems for embedded assumptions and blind spots

  • Some of the most consequential conversations people have are now happening inside simulated environments — and the design of those environments determines what gets learned, what gets practiced, and what gets carried into the real world.

    Scenario and dialogue design — building communicative situations that reflect real complexity and cultural range

    • Feedback architecture — designing how systems respond to what people say, and what that teaches them

    • Cross-cultural and multilingual adaptation — ensuring environments work across language levels and cultural contexts

    • Narrative and emotional design — the texture of simulated interaction, not just its informational content

    • Learning outcome alignment — connecting communicative experience to meaningful, measurable growth

  • Most organizations know they need to think about AI. Fewer know how to think about it in terms of communication — what it changes, what it can't replace, and how to make intentional decisions about when to use it and when not to.

    Before the chatbot is built, before the simulation is designed, before the training program is rolled out — there are questions that need to be asked about how your organization communicates, and what you want AI's role in that to be.

    AI communication audits — mapping where and how AI is shaping communication, visibly and invisibly

    • Prompting workshops — building precise, purposeful, culturally-aware interaction with AI systems

    • Human–AI decision frameworks — shared criteria for when AI serves communication and when it doesn't

    • Integration training and facilitation — guiding teams through the organizational and communicative dimensions of AI adoption

    • Discussion design — structuring the harder internal conversations about what AI should and shouldn't do

SERVICES

BIO

Meghan Killeen works at the intersection of communication, learning, and emerging digital environments, with more than 15 years of experience across higher education, multilingual learning, curriculum design, and faculty development. Her work focuses on how people engage with systems as thought partners while strengthening their own voice and communication—particularly in contexts shaped by AI, simulation, and evolving forms of digital interaction. Drawing from a background in student advocacy and global education, she partners with organizations to design more intentional, human-centered approaches to learning, communication, and human–system interaction across educational, workforce, and intercultural settings.

She holds an M.A. in English Language and Literature from University of Westminster (London, U.K.) and was selected to participate in OpenAI’s Professors Teaching with ChatGPT series. She is also an Expert Contributor in AI in Education with the University of Oxford community of practice, Co-Producer and Host of the Philly AI Connect Education Hub, and Co-Lead of the Future of Higher Education Philadelphia chapter. Her current work explores multilingual AI use, intercultural communication, conversational design, and the role of emerging technologies in shaping how people learn, communicate, and connect.