Ani Attamian

Ani Attamian is an artificial intelligence keynote speaker, business adviser and Founder & Chief Solution Designer of LEMA Collective, who helps organisations identify the structural weaknesses preventing successful AI transformation. With more than 22 years of enterprise experience, including 11 years at Google, Ani understands the relationship between technology, data, people and commercial decision-making. She specialises in identifying why transformation programmes stall, particularly when businesses invest in artificial intelligence before addressing fragmented data, disconnected teams and unclear accountability. Through LEMA Collective, Ani works with senior leaders to expose these underlying challenges and establish stronger foundations for AI adoption, helping organisations move beyond experimentation towards technology strategies capable of delivering measurable commercial outcomes.

Before founding LEMA Collective, Ani built an extensive career across technology, publishing, digital marketing and product development. Her most significant corporate experience came during 11 years at Google, where she progressed through senior commercial and technology positions before becoming Head of Publishing Product Partnerships for Europe, the Middle East & Africa. Ani led EMEA strategy and partnerships for Google Play ebooks and audiobooks, collaborating across Google Assistant, Play, Hardware, Marketing, Policy, Legal and YouTube. During this period, she helped launch Google’s auto-narrated audiobooks across EMEA, using machine learning and text-to-speech technology to increase the number of books available in audio formats. Earlier positions with Aegis Media, iProspect and iCrossing developed her expertise across product design, digital marketing, client strategy and technology implementation.

As Founder & Chief Solution Designer of LEMA Collective, Ani now advises organisations on AI, data architecture, business strategy and digital transformation. She is the creator of the Data-to-Decision Sequence and ‘Expose, Rank, Build’ methodology, a framework designed to uncover root causes, prioritise competing organisational problems and ensure businesses apply the right expertise to each challenge. Ani’s approach was shaped by profound personal experience following the death of her mother, a psychotherapist who was killed by a patient. For years, Ani focused on treating the symptoms of her own trauma rather than its cause, an experience that culminated in a serious health warning and forced her to confront what she had avoided. That process of identifying the root problem and rebuilding from stronger foundations now informs her work with organisations, where she frequently sees businesses attempting to solve visible problems while overlooking the structural causes beneath them. Alongside her commercial work, Ani is a Board Adviser to the ARI Literature Foundation, supporting educational access.

When booked as an artificial intelligence keynote speaker, Ani translates complex technological challenges into clear commercial lessons for executives and leadership teams. She has shared her expertise at SXSW London, World Travel Market, FutureBook, AI@Media and King’s College London, speaking on artificial intelligence, algorithms, digital transformation, customer behaviour and technology adoption. Her signature keynotes include ‘Human Systems Break Before the Technology Does’, ‘You’re Building the Wrong Thing’ and ‘Your AI Is Standing on Broken Data’. Drawing on more than two decades inside major enterprises, Ani challenges audiences to establish whether they are solving the right problem before committing further budget to AI. Her practical frameworks help leaders connect decisions, improve AI readiness and build transformation strategies supported by stronger data, processes and human systems.