Brandon Chiazza is a technology leader, consultant, and educator focused on helping organizations adopt and apply AI in meaningful, practical ways. As CEO of Modali Consulting, he works across AI, data, software, and enterprise transformation initiatives, advising clients on how to modernize operations and create value through technology. Brandon previously served as Chief Technology Officer for the New York City Mayor’s Office of Contract Services, where he led major digital transformation efforts in procurement and public sector technology. He also teaches graduate-level subjects, including data engineering, natural language processing, data-driven organizations, and AI, and is passionate about making complex technical concepts accessible and actionable. Brandon’s work sits at the intersection of strategy and execution, combining executive perspective with deep technical experience. He holds a Bachelor of Science and an MPA from Cornell University.
Designing AI Governance and Organizational Strategy for Enterprise Adoption
Workshop Overview
AI adoption is accelerating across sectors, yet many organizations lack a structured governance model to deploy these tools responsibly and at scale. Without clearly defined oversight and accountability, AI initiatives often become fragmented or duplicative, exposing institutions to significant legal, compliance, and reputational risks. When strategic alignment to enterprise objectives is missing, teams are left vulnerable to inconsistent execution and unforeseen policy gaps.
This Workshop provides a practical operating framework for teams to design and implement a cohesive AI strategy. We'll utilize a Capability Maturity Model to assess current institutional readiness and identify critical governance gaps. Moving from theory to tactical application, we'll establish decision rights and draft a sample AI Steering Committee charter to ensure executive alignment. We'll also define a clear RACI model for AI initiatives, confirming that every team member understands their specific role in maintaining policy guardrails.
By the end of our session, we'll have moved beyond passive consumption to create a phased AI adoption roadmap. We won't just discuss foundational risks; we'll build the actual blueprint needed to lead our institutions through a safe, scalable AI transformation.
Key Workshop Takeaways
- Apply a structured AI governance model with policy controls to proactively manage legal, compliance, and reputational risk exposure
- Design a cross-functional AI operating strategy by defining the specific roles and capabilities required for sustainable, responsible deployment
- Build an AI adoption roadmap featuring high-impact use cases and KPIs to dramatically accelerate measurable business outcomes
with Impact
learning
real tools
engagement
Workshop Faculty
Who Should Enroll
- Experienced IT directors accountable for mitigating technical AI security risks
- Senior operations leaders tasked with scaling AI across fragmented departments
- Mid-to-senior compliance officers building policy guardrails for responsible AI use
- Experienced product managers aligning AI initiatives with measurable business outcomes
- Senior executives facing pressure to deploy AI without governance training
What You'll Earn
- Letter of Completion
- 3 Professional Development Hours (.3 CEUS)