
A collaborative initiative defining how asset managers adopt AI safely and at scale.

What This Is
Industry-led, practitioner-built framework
Covers investment, technology, risk, and compliance
Designed for real-world implementationWhy It Matters
Each institution reinvents the wheel
independently — wasting talent and
capital on problems already solved
elsewhere in the industry.
The absence of unified standards makes
cross-institutional alignment, regulatory
dialogue, and vendor evaluation nearly
impossible.
Uncertainty stalls transformation at the
pilot stage. Without clarity on governance
and risk, AI initiatives struggle to reach
production scale.
What You Get
Receive each pillar before
public release and shape how
your organization prepares.
Collaborate with peers across
investment, technology, risk
and compliance to co-author
practical guidance.
Help define the benchmarks
and frameworks that will be
referenced across the industry
and by regulators.
Invitations to member-only
roundtables, leadership
forums and intimate
discussions with regulators.
The AI Transformation Guide
A comprehensive framework developed by practitioners to guide every dimension of AI adoption in asset management.

A practitioner-built playbook covering every dimension of AI transformation — from defining your end-state vision to governance, compliance, and information security. The definitive reference for asset managers navigating the AI transition.
What an AI-native asset manager looks like. Decision making, operating model, sources of competitive advantage.
Research, signal generation, portfolio construction, trading, execution, operations, reporting.
Model orchestration, build vs. buy, cloud and compute, APIs and microservices, platform reuse.
Data pipelines, quality and lineage, structured and unstructured integration, decision context.
Front-to-back redesign, centralized vs. federated AI, decision rights, KPIs.
AI governance frameworks, regulatory alignment, accountability, responsible AI, monitoring.
AI literacy, role redesign, change management, training, culture, leadership, talent.
Roadmap, use case prioritization, ROI measurement, pilot-to-production scaling, industry transformation.
How to Participate
Domain Expert & Section Author
Lead the development of a specific pillar chapter. Bring deep practitioner expertise to shape industry standards. Named contributor credit and exclusive leadership access.
Reviewer & Validator
Provide structured feedback on draft content before publication. Validate recommendations against real-
world practice. Acknowledged as a review panel member.
Access & Engage
Early access to all Guide content, invitations to member events, access to an industry peer network, and
updates on regulatory and industry developments.
Ready to Lead?
The shift to AI-native asset management is underway. The opportunity now is to define it, together — safely, compliantly, and at scale.