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Ravi S. Bhagavatula is a multi-strategy investor and strategic advisor with over three decades of experience at the intersection of financial strategy, quantitative trading, risk quantification, and applied artificial intelligence. Trained as a theoretical physicist, he began his career in quantitative finance at global financial organizations including UBS and AIG, where he helped build and manage large-scale analytical and risk platforms in highly regulated environments. He also holds the CFA designation. He is the Managing Partner of WFA Global, where he manages alternative investments acroRead More...
Ravi S. Bhagavatula is a multi-strategy investor and strategic advisor with over three decades of experience at the intersection of financial strategy, quantitative trading, risk quantification, and applied artificial intelligence. Trained as a theoretical physicist, he began his career in quantitative finance at global financial organizations including UBS and AIG, where he helped build and manage large-scale analytical and risk platforms in highly regulated environments. He also holds the CFA designation.
He is the Managing Partner of WFA Global, where he manages alternative investments across public and private markets. Over the years, he has also backed several successful technology start-ups as an early investor. Alongside systematic investment strategies, his interests extend to frontier technologies and the incubation of AI-enabled decision platforms. He brings a practitioner’s perspective to AI governance through Bounded Agency in AI systems—a concept he coined and continues to develop to guide the responsible integration of agentic intelligence into organizational workflows.
LinkedIn: [link removed]
P.K. Prasanna Kumar is a senior technology and transformation leader with extensive experience in designing and scaling mission-critical platforms in financial services. Over his career, he has worked at the intersection of enterprise architecture, data platforms, and intelligent automation, leading large-scale modernization initiatives in complex, regulated environments.
He is a senior executive at Business Optima and focuses on translating emerging technologies—including AI and agent-based systems—into robust, governed operating models that support real-world decision-making. He has deep experience in designing enterprise-grade platforms where reliability, supervision, and auditability are as important as innovation. He brings a practitioner’s perspective on how intelligent systems must be engineered, supervised, and integrated into workflows to enhance organizational resilience while preserving accountability.
LinkedIn: https://linkedin.com/in/profpk
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The Age of Agentic AI in Finance Has Arrived.
This book is written by industry leaders for industry leaders, with key stakeholders in mind. It addresses the following core issues:
"AI Agency" without boundaries creates risk.
"Automation" without judgment makes risk unmanageable.
"A perfect storm is waiting to happen" with the adoption of AI.
Leadership and teams across the organizational universe will
The Age of Agentic AI in Finance Has Arrived.
This book is written by industry leaders for industry leaders, with key stakeholders in mind. It addresses the following core issues:
"AI Agency" without boundaries creates risk.
"Automation" without judgment makes risk unmanageable.
"A perfect storm is waiting to happen" with the adoption of AI.
Leadership and teams across the organizational universe will gain valuable insights into the use of AI in Finance for Strategy, Governance, and Risk in the Age of Bounded AI Autonomy. The stakeholders who will benefit the most include board members, senior management, risk professionals, technology experts, and teams deploying AI systems.
Finance professionals can now navigate from passive analytics to active agentic AI systems, with confidence that AI agents operate with autonomy without the enterprise losing control.
Firms must scale intelligence without surrendering accountability and preserve the explainability required for fiduciary responsibility. Financial organizations need to redesign decision architectures, oversight structures, and human accountability for an AI-driven world.
This book provides the "Architectural Framework for Adopting Bounded Agentic AI" for Financial Organizations.
The Age of Agentic AI in Finance Has Arrived.
This book is written by industry leaders for industry leaders, with key stakeholders in mind. It addresses the following core issues:
"AI Agency" without boundaries creates risk.
"Automation" without judgment makes risk unmanageable.
"A perfect storm is waiting to happen" with the adoption of AI.
Leadership and teams across the organizational universe will
The Age of Agentic AI in Finance Has Arrived.
This book is written by industry leaders for industry leaders, with key stakeholders in mind. It addresses the following core issues:
"AI Agency" without boundaries creates risk.
"Automation" without judgment makes risk unmanageable.
"A perfect storm is waiting to happen" with the adoption of AI.
Leadership and teams across the organizational universe will gain valuable insights into the use of AI in Finance for Strategy, Governance, and Risk in the Age of Bounded AI Autonomy. The stakeholders who will benefit the most include board members, senior management, risk professionals, technology experts, and teams deploying AI systems.
Finance professionals can now navigate from passive analytics to active agentic AI systems, with confidence that AI agents operate with autonomy without the enterprise losing control.
Firms must scale intelligence without surrendering accountability and preserve the explainability required for fiduciary responsibility. Financial organizations need to redesign decision architectures, oversight structures, and human accountability for an AI-driven world.
This book provides the "Architectural Framework for Adopting Bounded Agentic AI" for Financial Organizations.
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