Christopher has been a RIMAS Governing Council Member since 2014.
AI Agent Risk Chapter
The AI Agent Risk chapter demonstrates an organizational commitment to managing risk arising from AI Agents.
The AI Agent Risk Chapter is the first of its kind to be set up in RIMAS.
The activities of the chapter will be organizing workshops, seminars to promote the concept of AI Agent risk management, responsibility, and leadership among our members in the association. AI Agent Risk Management, and the benefits thereof, are better understood and many large companies now have personnel who are specially assigned AI agent risk management duties. Some companies in fact have established AI agent risk management divisions in order to provide risk services to their clients.
There is a bright future for risk management practitioners as the benefits of sound AI agent risk management strategies become increasingly recognized throughout the business community.
Chapter's Leaders
Chairman, AI Agent Risk Committee
Mr. Alan San Agustin
AI Agent and Automation Expert
Alan San Agustin is an AI automation consultant specialising in the design and implementation of enterprise-grade AI agents using Microsoft Copilot Studio, Power Platform, and Dataverse. He focuses on bridging AI governance frameworks with practical execution by translating risk and compliance requirements into operational AI systems within enterprise environments.
With over 25 years of experience across manufacturing, IT integration, and enterprise process automation, Alan has led technology-enabled transformation initiatives that improve operational efficiency, data management, and decision automation. He holds a Master of Finance, a Graduate Diploma in Business, and a Bachelor of Engineering (Mechanical), combining engineering discipline with financial and business strategy expertise.
In his current work, Alan designs and deploys role-based AI agents for enterprise environments, with emphasis on governance alignment, secure data handling, and integration within Microsoft-centric ecosystems. His focus includes agent behaviour design, workflow risk controls, and the practical implementation of responsible AI systems.
As AI Agent Risk Chapter Lead, he contributes to defining risk frameworks for autonomous and semi-autonomous AI agents, ensuring safe deployment patterns, auditability, and alignment with emerging AI governance standards. He helps translate ISO-style governance principles into implementable controls within enterprise automation systems, enabling organisations to adopt AI safely and at scale.
Alan also advises on scalable AI workforce architectures, supporting organisations in structuring governed digital workers with defined roles, permissions, and escalation pathways.