About the Client
AON is a globally recognized professional services firm providing a broad range of risk, retirement, and health solutions. Known for its data-driven insights and deep domain expertise, AON partners with businesses to manage volatility, improve performance, and drive sustainable growth. The India division of AON, with a robust salesforce and client management team, sought to elevate the skills and strategic capabilities of its commercial teams through advanced learning interventions.
Workshop Objective
The objective of the workshop was to build a foundational and forward-looking understanding of Sustainable Artificial Intelligence (AI) and its real-world application across enterprise functions. Participants were introduced to frameworks, tools, and governance models that drive responsible, scalable, and high-impact AI adoption. The program aimed to enable cross-functional leaders—especially in digital transformation, and analytics—to align AI strategies with business outcomes, ethical standards, and long-term organizational resilience.
Workshop Summary
This interactive, instructor-led workshop offered a structured exploration of Sustainable AI principles, blending theory with high-impact enterprise use cases and cross-disciplinary exercises. Anchored in AON’s proprietary frameworks and real-world insights, the program focused on reimagining AI adoption with governance, psychological safety, and business scalability at its core.
Key highlights included:
- Introduction to the AON Sustainable AI framework and leadership imperatives in the LLM era
- Case study walkthrough of AI deployment challenges and solutions across talent, performance, and organizational strategy
- Application of the Say–Stay–Strive model and mind map tools to identify engagement drivers and risks in AI-integrated environments
- Deep dive into responsible AI architecture, including hallucination management, RAG (retrieval-augmented generation), and agent mesh design
- Discussion of governance-as-code and the shift from traditional DevSecOps to LLMSecOps for large language model oversight
- Executive-level exercises to balance innovation with ethics, reduce model entropy, and align AI deployment with enterprise KPIs
The session concluded with an action planning module, equipping participants with practical strategies to champion sustainable, explainable, and enterprise-ready AI in their respective domains.
Workshop Details
- Mode: On-Site
- Audience: Directors and Senior Managers
- Batch Size: 12 Participants
- Duration: 1-day Workshop
- Customized Training Modules
- Certificates for all participants
Trainer Profile
- Ex-Associate Director with 28+ years in IT, leading 100+ consultants across EMEA & APAC in hybrid cloud and security solutions.
- Expert in Gen AI Security, AI GRC, ICS/OT Security, and Sovereign AI, with hands-on delivery of 25+ bootcamps across India, Australia & Canada.
- Proven leader in Oracle Cloud Infrastructure, DevSecOps, and AI Product Management, combining Design Thinking with Secure AI Engineering.
- Trusted coach, keynote speaker, and design thinking mentor with deep expertise in building scalable AI solutions across industries.
