Jeremy B.

– Defined the assessment and governance framework for AI systems across 20+ Maisons, including eligibility criteria, risks, decision forums, documentation, and deployment pathways – Produced executive deliverables for COMEX and CODIR audiences, including summaries, trade-offs, adoption KPIs, compliance issues, and prioritization recommendations – Assessed organizational maturity and real scaling capacity across governance, sponsorship, business and IT coordination, legal alignment, and team preparedness – Challenged AI use cases on value, feasibility, dependencies, and conditions for successful industrialization

– Led an AI audit and compliance workstream in a regulated banking environment, reviewing AI use cases, control frameworks, risk-scoring logic, and documentation quality against emerging regulatory expectations – Built structured assessment frameworks to evaluate governance, model oversight, explainability, data lineage, human review mechanisms, and operational controls across sensitive AI systems – Conducted critical reviews of requirements, evidence packs, and supporting documentation to identify methodological gaps, weak assumptions, incomplete controls, and insufficiently substantiated conclusions – Produced senior-level reports and decision materials summarizing key risks, remediation priorities, control deficiencies, and governance recommendations for leadership stakeholders – Contributed to the definition of audit playbooks, review criteria, and monitoring approaches that made AI risk assessments more consistent, repeatable, and defensible – Worked across compliance, risk, legal, and business teams to translate abstract regulatory requirements into concrete review questions, control expectations, and action plans

– Led strategic analysis on AI adoption, governance models, and operating implications for public institutions, regulatory stakeholders, and mission-driven organizations – Co-authored the ARGO framework with Stanford, translating responsible AI principles into practical governance structures, assessment criteria, and decision frameworks usable by institutional actors – Produced policy-oriented analysis on high-risk AI systems, accountability mechanisms, oversight models, and implementation pathways, with a focus on public-sector constraints and decision environments – Facilitated multi-stakeholder workshops bringing together public institutions, experts, and civil society to assess AI strategy options, risk scenarios, and governance trade-offs – Contributed to strategic briefs and analytical materials designed to help decision-makers structure AI roadmaps, clarify governance responsibilities, and prioritize areas for institutional readiness and oversight

– Led delivery of AI initiatives from framing to deployment across industrial use cases, aligning business objectives, operational constraints, data readiness, and execution plans – Structured and ran program governance including roadmap definition, milestone tracking, dependency management, risk follow-up, and steering preparation – Coordinated a 40-person cross-functional team spanning operations, data, architecture, and business functions to unblock delivery, align priorities, and secure key decisions – Implemented delivery routines, validation checkpoints, and quality assurance processes to improve reliability, reduce deployment errors, and support industrialization at scale

– Contributed to strategy projects focused on sustainable innovation, supporting corporate and public-sector clients on growth opportunities linked to healthcare, education, public service transformation, and emerging-market priorities – Built market scans, benchmark packs, interview syntheses, and problem-structuring materials to help senior consultants frame client issues and test strategic hypotheses – Supported the development of client deliverables including slide decks, workshop materials, and recommendation papers translating research into actionable strategic options – Worked on business model analysis, ecosystem mapping, and prioritization of innovation initiatives with attention to economic viability, social impact, and implementation constraints – Participated in project coordination across multicultural stakeholders in Singapore and across Asia, helping maintain workplan discipline, evidence quality, and consistency of outputs

– Analyst within the Business Valuation Team, specialized in the valuation of complex companies and situations requiring nuanced judgment on financial, operational, and sector assumptions – Contributed to valuation work on hard-to-benchmark assets through DCF models, market multiples, performance scenarios, sensitivity analyses, and triangulation across methods – Critically reviewed business plans, growth assumptions, margin trajectories, and core value drivers to produce robust and defensible analyses – Prepared analytical materials for transaction teams and senior bankers, highlighting key risks, uncertainty zones, and value-creation levers