I am an impact-driven category designer and Co Founder at Audience Haus. I specialize in creating market categories with a focus on social impact, community building, and planetary well-being. Over the years, I’ve had the privilege of working with CXOs, business leaders, and stakeholders across industries like financial services, mobile telephony, software, and e-learning. I’ve been able to achieve multi-million-dollar sales targets, rapidly grow sales pipelines, and create recurring revenue streams.
I introduced the 4th element of category creation – Impact Design, which ensures that businesses are designed with societal, environmental, and economic impacts in mind. I’ve also had a hand in launching six blockchain cryptocurrency startups, advising on the world’s first complete voice-of-the-people platform using blockchain, and securing USD 300,000 seed funding for a plant-based startup.
I also created Sri Lanka’s first live-streaming video podcast series, Pandemic Punditry, which featured over 100 global thought leaders, entrepreneurs, and VCs. Over the years, I’ve led several initiatives that have resulted in new business units and increased revenue, including creating a 5X lead generation increase at Hatch during the COVID-19 pandemic and securing contracts with top brands like Hutch and Veracity AI.
As a co-author with Philip Kotler and Christian Sarkar, I’ve contributed to building a movement of movements, and as a core member of the Wicked7 Project, I’ve been working on creating a roadmap to solve the seven wicked problems of the world.
My passion lies in helping entrepreneurs design businesses that don’t just generate profits but also make a positive impact on the world—and I’m dedicated to helping others build businesses that align purpose with profit.
Art as Conversational Ontology: Meaning, Interpretation, and Dialogue Across Human-AI Systems
Art has always been described as a catalyst for conversation, but what counts as a conversation? I seek to reframe conversation as an ontological process rather than a linguistic exchange: a space where meaning is negotiated, identities are mirrored, and interpretation becomes a co-creative act between participants. Drawing from contemporary ontology theory and emerging research in hybrid human-AI cognition, I will examine how creative expression functions as a meaning engine across systems involving both humans and non-human agents.
In digital culture, artworks such as the Mona Lisa now circulate not through museums but through memes, GIFs, TikTok remixes, and algorithmic reinterpretations. These hybrid artefacts raise new questions: When old art re-enters modern culture through AI-driven remix systems, does it become relevant again? Does a meme-based reinterpretation constitute a new form of conversation? And can AI meaningfully “start” these conversations by propagating reinterpretations that invite human response?
Generative AI models do not simply reproduce images, they reactivate ontologies. They surface, remix, and redistribute cultural artefacts across time, enabling conversations between Renaissance paintings and Gen-Z meme culture, between human imagination and machine-learned representations.
Generative AI models now interpret, remix, and produce artistic work, raising new questions: Can AI meaningfully “start a conversation”? What happens when interpretation is shared across species – human imagination and machine pattern-recognition? And how does art become a bridge between human cultural narratives and machine-learned representations?
