Webinar: Operationalizing AI In the Enterprise
Turning AI ambition into operational results that scale. Register below to reserve your seat.
Turning AI Investment into Impact
AI adoption is accelerating across the enterprise, yet most organizations still struggle to turn experimentation into operational outcomes that scale.
This webinar introduces a grounded, execution-focused approach to operationalizing AI in the enterprise. It moves beyond surface-level adoption to address how AI connects strategy, operations, and delivery in a way that produces measurable outcomes.
At the center of the session is nVeris, an AI-powered operating model platform. We’ll use an immersive nVeris experience to show how today’s technology can support real-world AI implementation and decision-making across the enterprise.
Register to Attend
What this webinar explores:
- The AI Roles Every Leader Must Understand
- Why AI efforts stall in large organizations
- How nVeris uses AI to guide implementation, align decisions and create an actionable roadmap for scale
If you’re responsible for moving AI from aspiration to execution, this conversation is designed for you.
Dr. Suzette Johnson
Dr. Suzette Johnson is an award-winning author with a distinguished career in the aerospace and defense industry, primarily at Northrop Grumman Corporation. As the enterprise Lean-Agile transformation lead, she spearheaded the formation of the Northrop Grumman Lean-Agile Community of Practice and Centers of Excellence. Over the course of her career, she has facilitated more than 100 enterprise and government transitions to Lean-Agile principles, while advancing the adoption of modern systems engineering practices.
In her current role as a Northrop Grumman Fellow, Suzette continues to champion the implementation of Lean-Agile and digital capabilities across the company’s most significant cyber-physical systems. She co-authored, Industrial DevOps: Build Better Systems Faster, a book that extends Lean, Agile, DevOps, and Digital practices to the development and operation of cyber-physical systems and in 2024, she co-authored the paper, Leading the Human-AI Revolution.
Suzette earned her Doctor of Technology Management from the University of Maryland, where her dissertation focused on The Impact of Leadership Styles on Software Project Outcomes in Traditional and Agile Environments. She also holds a certificate from MIT’s Digital Transformation and AI program. As a SAFe Fellow and SPCT, she plays an influential role in promoting scaled Lean-Agile practices across industries. Currently, Suzette serves as the Chair of the NDIA Systems Engineering Division and actively volunteers to advance STEM education, reflecting her passion for fostering the next generation of innovators.
Arun Saraswat
Arun Saraswat is an AI Methodologist at Scaled Agile with over 25 years of experience in technology and software delivery, spanning enterprise architecture, fractional CTO leadership, and venture creation. He has worked closely with executive leaders across global aerospace, defense, and telecommunications organizations, helping them navigate large-scale transformation at the intersection of strategy, architecture, and execution.
Drawing on his background as an enterprise architect and founder, Arun brings a pragmatic, business-first perspective to artificial intelligence—focused less on tools and hype, and more on how AI reshapes decision-making, operating models, and the way work gets done. His work centers on helping organizations move beyond experimentation and embed AI into everyday workflows in a way that delivers measurable business value.
Arun is a co-creator of the AI-Native program at Scaled Agile, an enterprise-grade approach designed to help organizations escape proof-of-concept stagnation and adopt AI as a core capability. As a speaker, he is known for translating complex AI concepts into practical insights for leaders, bridging the gap between emerging technology and real-world outcomes.
Brian Paniccia
Brian Paniccia is the Chief Product Officer and co-founder of nVeris Corporation, where he leads the development of the world's most powerful AI-powered value stream collaboration and business outcome optimization platform. A seasoned software product executive, Brian has led global software rollouts and market launches for recognized enterprises including GE Capital, delivering innovation at scale across financial services, manufacturing, supply chain, and healthcare sectors.
Throughout his career, Brian has developed business intelligence systems for healthcare delivery, supply chain optimization platforms, and model-based loss prevention products for consumer financing. He also designed advanced loan portfolio rating systems for investment firms, enhancing decision-making accuracy and financial performance. Earlier in his career, Brian pioneered Six Sigma-based systems for root cause analysis and process improvement in financial transactions, solutions that were deployed globally across manufacturing, supply chain, and financial services environments.
Brian’s leadership blends deep technical expertise with a relentless focus on real-world business outcomes. An avid marathon runner and sailor, he applies the same endurance and strategic mindset to product innovation, continuously pushing boundaries to optimize performance. At nVeris, he brings together visionary thinking and practical execution to help organizations better collaborate and connect ideas to thrive in an increasingly fast-paced, AI and data driven world.

CEO & Co-Founder




