Software Engineering Institute Webcast: Rethinking and Maturing AI Adoption
June 9, 2026 1:30PM—3:00PM
Location:
Virtual Presentation - ET
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Remote Access
Speaker:
Panel Discussion
Many organizations are discovering, as they accelerate adoption of artificial intelligence (AI), that business and operational success with AI depends on far more than deploying AI models or experimenting with generative AI tools. Successful AI adoption occurs at the intersection of software engineering practices, the realities of system and enterprise architecture modernization, governance, cybersecurity, workforce readiness, workflow reengineering, operational integration, and enterprise strategy. Organizations must manage technological challenges that have intensified with AI adoption, including growing dependencies, vendor lock-in, and the imperative to innovate and scale quickly. Leaders must also adapt to new emerging realities, from the operational and financial demands of supporting multiple frontier models to the novel security and governance risks introduced by agentic AI approaches. Traditional approaches to technology transformation are no longer sufficient to thrive in this environment.
To address these emerging complexities and drive success, Carnegie Mellon University’s Software Engineering Institute (SEI) collaborated with Accenture to develop the AI Adoption Maturity Model—an evidence-backed, field-tested instrument that provides a structured, yet agile, pathway for scaling AI capabilities across enterprises to ensure value and return on investment (ROI). This approach is designed for today’s realities, including fast-paced technological change, limited time and resources, and the need for lightweight, actionable methods rather than burdensome documentation.
In this webcast, experts from the SEI and Accenture share technical insights and lessons learned from maturing AI adoption in complex environments. They will demonstrate how a nimble assessment instrument such as the road-tested AI Adoption Maturity Model fills critical gaps faced by organizations adopting AI.
What Will Attendees Learn?
- How AI maturity extends beyond isolated experimentation to encompass scalable, repeatable, measurable, and governed organizational capabilities.
- How common pitfalls and strengths that we observed in early adopter organizations during AI Adoption Maturity Assessments can influence AI adoption.
- How certain approaches to integrating existing risk management routines and security processes can support AI adoption.
- How an agile, lightweight maturity assessment approach can enable organizations to rapidly prioritize activities, align efforts, and make targeted progress.
Who Should Attend?
- C-suite leaders, technical managers, and business strategists who lead AI adoption and AI initiatives
- software engineers, AI engineers, data scientists, architects, AI experts who oversee implementation of AI initiatives
- chief risk officers, technology risk officers, chief information security officers (CISOs), cybersecurity experts, risk and governance professionals who manage AI risks.
About the Speakers
Anita Carleton is a member of the Executive Leadership Team at Carnegie Mellon University’s Software Engineering Institute (SEI) and serves as Division Director of its Software Solutions Division. She leads the SEI’s mission of advancing the state of the practice in software engineering with the specific goal of making software a strategic advantage for the U.S. Department of War (DoW). Carleton recently led the influential study and co-authored the book Architecting the Future of Software Engineering: A National Agenda for Software Engineering Research and Development, which outlines a multi-year research and development vision, strategy, and roadmap for engineering next-generation software-reliant systems.
John Haller is the Technical Manager of Cyber Assurance in the CERT Division at Carnegie Mellon University’s Software Engineering Institute (SEI). John is responsible for supporting a research and consulting portfolio focused on the security and resilience of the nation’s critical infrastructure, including defense assets and systems.
Anthony Leraris is Accenture’s Chief Information Officer, responsible for Accenture’s enterprise technology, including strategy and planning, governance, applications, infrastructure, services, and an increasing amount of the technology we use to serve our clients. Leraris is also the Office Managing Director for Accenture’s Indianapolis office, championing local market engagement and community partnerships.
Ipek Ozkaya is the Technical Director of AI-Native Software Engineering at Carnegie Mellon University’s Software Engineering Institute (SEI). Her work focuses on the intersection of software architecture, technical debt management, AI-augmented software engineering, and enterprise AI adoption. She leads research and applied engineering initiatives that help industry and government organizations modernize complex software-intensive systems and adopt AI technologies with engineering rigor, governance, and scalability.
Rajendra Prasad (RP) is Accenture’s Group Chief Executive of Technology, and a member of the company’s Global Management Committee. In this role, RP oversees all facets of Accenture’s technology business and leads the company’s technology strategy. His responsibilities span cloud, data & AI, enterprise & industry technologies, security, technology ecosystem partnerships, and Accenture’s Advanced Technology Centers.
Majd Sakr is a faculty member in the Computer Science Department within Carnegie Mellon University’s School of Computer Science. He is the founder and director of the Technology for Effective and Efficient Learning (TEEL) Lab and previously served for a decade as co-director of Carnegie Mellon’s Master of Computational Data Science (MCDS) Program. From 2007–2013, he was a Computer Science faculty member at Carnegie Mellon University in Qatar (CMUQ), where he also served as Assistant Dean for Research and Coordinator of the Computer Science Program.
Kaveh Safavi M.D., J.D., is a Health Senior Advisor and former senior managing director at Accenture Health where he helps organizations harness the promise of technology and human ingenuity to humanize healthcare. He works with providers, health insurers, and public and private health systems in the Americas, Europe and Asia Pacific.
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