In this NYSE Live interview, Bruno Guicardi, Co-Founder and President of CI&T, discusses how organizations can successfully implement artificial intelligence at scale and why many AI pilots fail to achieve transformational business impact.

J.D. Durkin spoke with Guicardi about enterprise AI, technology modernization, organizational readiness, workforce transformation, software development, and digital innovation.

A significant portion of the discussion focuses on the gap between AI experimentation and enterprise transformation. Many organizations have introduced AI tools into their operations but have yet to fundamentally redesign workflows and business processes.

The interview also explores CI&T's approach to helping enterprises deploy AI technologies within complex operational environments and legacy technology ecosystems.

Another major theme is the importance of integrating AI into existing systems and business functions rather than treating it as a standalone technology initiative.

The conversation further examines how successful AI deployments often require modernization of infrastructure, data environments, and operational processes.

The interview also highlights the human element of AI transformation. Workforce alignment, organizational culture, leadership vision, and change management play critical roles in determining adoption success.

Another key topic is why AI pilots frequently fail to scale. Incremental productivity gains can make it difficult for organizations to justify broader investments, particularly when implementation costs remain significant.

The discussion also explores how transformational outcomes can create stronger returns on investment and support large-scale deployment decisions.

Additionally, Guicardi discusses CI&T's experience using AI internally, applying the technology across multiple functions to improve productivity and operational performance.

The conversation further examines AI-driven software development and digital product delivery, where organizations are increasingly using automation to accelerate development timelines and improve efficiency.

Another focus is technology readiness. Legacy systems, fragmented data, and integration challenges remain common obstacles across many enterprise environments.

The interview also highlights the importance of rethinking work itself rather than simply layering AI onto existing processes.

Looking ahead, Guicardi believes organizations that successfully combine AI technologies with workflow redesign, data modernization, and organizational transformation will be best positioned to achieve long-term competitive advantages.

Throughout the discussion, Guicardi shares perspectives on enterprise AI, digital transformation, software development, organizational change, technology modernization, productivity, business strategy, innovation, workflow optimization, and future workplace trends.

Disclaimer: Informational content only. NYSE does not endorse or recommend investments, strategies, companies, products, or services discussed.

#NYSE #NYSELive #BrunoGuicardi #CIT #ArtificialIntelligence #EnterpriseAI #DigitalTransformation #BusinessTransformation #SoftwareDevelopment #TechnologyInnovation #AIAdoption #Productivity