This session will cover a full range of CDM topics for business managers, traders, back-office, technical architects, developers, and business analysts.

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Financial regulation today is analog, with every firm independently interpreting the same rules and rebuilding the same infrastructure, creating a hidden tax of duplication, inconsistent data, and systemic blind spots. This sesssion argues that the full regulatory stack can be rebuilt as shared, executable software using FINOS projects like CDM, DRR, and Morphir — with AI accelerating the transformation and machine-readable regulation closing the final interpretation gap. The talk closes with three concrete pilots the community can start now: extending CDM/DRR to the FCA's streamlining work, establishing policy-as-code as the default for all new regulation, and retrofitting the highest-burden existing regimes into executable form.

How do you turn a collateral agreement from a document people read into information systems can use?

In this session, VERMEG shares its practical experience implementing the Common Domain Model (CDM) for collateral agreements and eligibility schedules. Through a live demonstration, we will show the journey from legal documentation to structured, machine-readable agreement terms and eligibility rules, and how a common representation can connect document digitisation with collateral workflows.

The focus is not simply on digitising documents, but on making their content consistent, reusable and actionable.

Capital-markets applications operate across numerous systems and financial products, each representing data through different and often inconsistent business semantics. Without a common semantic reference, introducing AI can amplify this ambiguity, making AI-generated results less reliable for processes that require deterministic outcomes. The FINOS CDM can provide that reference: supporting mappings between application data models, supplying business context to AI models, and enabling AI-generated outputs to be validated against governed business concepts and firm policies.

The speakers will present practical strategies for adopting this approach across the enterprise, covering integration architecture, semantic mapping, data ownership, model extensions, validation, and governance. Attendees will leave with a framework for deciding where the CDM should sit within their enterprise architecture and how it can support more reliable, explainable, and governable AI.