From Agentic AI to Enterprise Advantage: 5 Lessons from Early Adopters
Agentic AI is scaling fast. Learn 5 key lessons to drive business value, governance, and data maturity for successful enterprise-wide AI adoption...
Agentic AI is no longer just a buzzword, it's moving fast from pilot projects to enterprise-scale impact. But deploying AI agents alone isn't enough. To realize real business value, organizations need the right strategy, governance, data foundations, and operating model to scale responsibly.
In this session, we uncover the five critical lessons from early adopters and explore how to move beyond isolated AI agents toward sustainable enterprise advantage.
By attending, you'll gain insight into why:
- AI agents must drive measurable business outcomes, not just technology adoption
- Enterprise value comes from coordinated ecosystems of agents, not stand-alone tools
- Governance evolves alongside autonomy to keep risk in check
- Data maturity is the ultimate determinant of agentic AI success
- The most successful organizations focus on human + AI collaboration, not replacement
This session is ideal for enterprise leaders shaping the strategy, execution, governance, and transformation of agentic and applied AI. We'll also share real benchmarks and data from SSON Research & Analytics' Visual Analytics Workbook: Agentic & Applied AI for the Enterprise: From Experimentation to Execution.
Speakers
Hussam Gaoro
CoE Manager, Intelligent Automation
BDC
Leader of the Intelligent Automation practice at the Business Development Bank of Canada, he leads enterprise automation initiatives focused on turning AI into real business outcomes. He specializes in bridging AI, automation, and enterprise workflows, helping organizations scale through strong orchestration, pragmatic governance, and reliable end to end execution.
Satya Angara
Global Head of AI & Innovation
Brinks Inc.
Satya is a senior enterprise AI and transformation leader with 25+ years of experience driving innovation at the intersection of AI strategy, data, and operating model design. He specializes in turning emerging technologies into measurable business outcomes across both regulated and consumer-facing industries.
As a Chief AI Officer, Satya has built and scaled enterprise AI strategies and Centers of Excellence, leading the deployment of large language models and agentic AI to transform workflows across financial services, healthcare, retail, and consumer sectors. He brings deep expertise in data modernization and monetization, leveraging platforms such as Snowflake, Databricks, Azure Synapse, and AWS Redshift. A strong advocate for responsible AI, Satya establishes governance frameworks that ensure ethical, compliant, and secure adoption. He has built global organizations from the ground up, leading human-plus-digital workforce transformations and managing portfolios exceeding $50M.
