Rethinking Business Processes in the Age of Agentic AI - A Hellixia-Guided Workflow for Analyzing Corporate Boards and Obtaining Governance Scores

Abstract

We’re approaching a period in history where the marginal cost of intelligence is fast converging towards the marginal cost of compute and energy. In a world where intelligence is available on-tap, the key differentiator becomes deciding where and how to apply that intelligence - what analysis should I ask for, what code should I get written, etc… We’re not quite there yet but need to start rethinking key business processes such that we can optimize the use of AI. Many corporates report not seeing the bottom-line benefits from the use of AI - yet. This is to be expected because we are mostly grafting AI on the pre-existing human-optimized processes of the firm. The real benefits will come from rebuilding these processes from the ground up and optimizing them as a system with 3 actors: Humans, Analytical AI and Generative AI. Only then can we expect to reap the full benefits from the ongoing revolution.

In this presentation we will focus on one such process example and see how with the assistance of Bayesialab/Hellixia and other AI tools we can transform a process from human-enhanced to ai-optimized.

About the Presenter

Gabriel Andraos is a Managing Director and the Co-Head of AI-Transformation at MSCI, Inc.

Gabriel is tasked with building AI-first Research and Development pipelines and acting as a change agent to position MSCI as an industry leader in responsible and scalable AI solutions. Along with long-time business partner Gareth Shepherd, Gabriel pioneered the use of AI for fundamental equities investing. In 2011 they co-founded G Squared Capital, one of the first hedge funds to integrate AI at the core of its investment process. There, they developed the Neuro-Symbolic Virtual Analyst, a platform that blended human-like reasoning with advanced data analysis to deliver differentiated investment insights. Following G Squared’s acquisition by Voya Financial in 2020, they created the Voya Machine Intelligence Group to further develop and scale this pioneering technology.

Gabriel has a BA from Georgetown University and an MBA from Harvard Business School as well as various accreditations across quantitative finance, computing and AI.