Scaling Trustworthy AI in Regulated Financial Services Environments

Join us for a focused, high-utility conversation where Financial Services CIO and AI strategy leaders from Xponance, Damco, and Cloud Lighthouse unpack how to move beyond experimentation and design AI programs that are governed, auditable, and business-aligned from Day 1.

What You Will Learn:

• Establish a Trust-First AI Strategy: Learn how to embed explainability, fairness, and compliance guardrails (e.g., SEC, Basel III, AML/KYC) into your AI roadmap—without slowing innovation.

• Bridge Legacy Infrastructure with Modern AI Architectures: See how financial institutions like Xponance are layering AI on top of fragmented, siloed systems—without overhauling core platforms overnight.

• Operationalize AI Without Compromising on Risk or Control: Gain insights into aligning AI initiatives with enterprise risk frameworks, internal audit standards, and cybersecurity protocols.

• Prioritize AI Investments Based on Maturity, ROI, and Risk: Use a maturity model to identify which business domains (e.g., underwriting, fraud, collections, advisory) are ready for trustworthy AI deployment—and where to wait.

• Make Data AI-Ready in a Heavily Regulated Environment: Explore practical approaches to improving data quality, lineage, and access in financial institutions burdened by compliance and legacy system constraints.

Enjoy,

David Andrade 👉 LinkedIn

Arnav Gupta 👉 LinkedIn

Andrew Welch 👉 LinkedIn | X | Threads

Keegan Chambers 👉 LinkedIn