Speaker

AI at TR has been traditionally focused on product innovation and delivering cutting-edge tools to customers. As demand grew to transform internal business functions using AI, TR pursued a combined top-down and bottom-up approach, including enterprise enablement and upskilling, access to fit-for-purpose AI tools, and the establishment of an AI Centre of Excellence. These efforts unlocked meaningful productivity gains at the individual and team level, but true reimagination of end-to-end workflows remained more difficult. To address this, TR leveraged business architecture thinking to accelerate and improve internal AI-transformation outcomes. This session will delve into TR's approach for identifying and prioritizing most impactful opportunities for AI-first transformation and setting up squads of "Forward Engineers" to partner with domain leaders and rapidly deploy production-grade AI solutions that go beyond automation and drive true reimagination of end-to-end workflows.