Infrastructure is the only AI bet that matters in structured finance

Infrastructure is the only AI bet that matters in structured finance

Artificial intelligence, large language models, and agents are transforming structured finance. The firms that will succeed are the ones investing in the infrastructure that makes AI reliably operational.

AI elevates analyst judgement

The most persistent misconception about AI in financial services is that it is primarily a headcount efficiency story. It is not, and firms that approach it that way will miss the real opportunity. 

The analysts running credit facilities, cracking tapes, and structuring deals are not becoming obsolete. What changes is what they can do. AI expands capacity; it raises the bar for data quality, analytical depth, and accountability. 

A team working with agentic workflows can monitor more facilities, run broader scenario analyses, and catch more exceptions than was ever possible manually. The judgment calls still belong to them. What AI eliminates is the mechanical work that stood between the analyst and those decisions, and the most effective analysts will not be replaced by AI. They will be the ones who know how to direct it.

AI is the new operating layer for analyst work

Most firms are experimenting with AI tools—models that respond to prompts, summarize documents, answer questions. That is a starting point, not the destination. What is emerging is categorically different: agentic workflows that execute multi-step processes autonomously, operate on live data, and hand off to analysts at the right moment.

An agent monitoring a credit facility does not wait to be asked. It processes new collateral data as it arrives, runs eligibility screens, checks covenant triggers, and surfaces exceptions for review. This is all done in the background while the analysts focus on the decisions that require judgment, such as whether the collateral meets their credit criteria, at what price to buy, and when to act. 

Dirty data will break your AI workflows

Structured finance has long faced a foundational challenge: data is delivered inconsistently, requiring analysts to spend significant time normalizing it before it is analysis-ready.

Loan-level collateral data arrives from hundreds of originators in varying formats. Field names are inconsistent; data is missing, mislabeled, or incompatible across tapes. When discrepancies exist between counterparties, resolving them requires more than a technical fix. It requires knowing which party has the authoritative answer and the expertise to bring a clean, third-party validated result. That process cannot be automated away. It is the foundation that everything else depends on.

Deploy a general-purpose model on top of that environment without solving the data layer first, and your reporting and decision-making will be based on poor data. The model is not the constraint. The foundation is.

dv01 is leading structured finance into its agentic era

dv01 has spent years solving precisely this problem—not as a precursor to an AI strategy, but as the foundation of what we do. We provide standardized loan-level data, validating data across multiple parties and documents, and developing analytics on top of that data. That foundation turns out to be exactly what the agentic era demands.

dv01 is upgrading its infrastructure to meet the changing landscape and demand of our client needs. We are building agent-ready workflows based on the strong data foundation we’ve built and implementing semantic layers to make dv01 data queryable in natural language and MCP servers to give AI agents controlled access to dv01 data and analytics within defined permissions.

These are not product features. They are the prerequisite for everything that follows.

dv01 is the partner clients should have in their IT stack

AI models will continue to improve. Infrastructure is the durable competitive advantage, and it must allow agents to reliably operate on. Structured finance has entered its agentic era, infrastructure is what makes it real, and dv01 is that platform.

We are releasing agentic features throughout the year, starting with warehouse reporting and then cashflow projections, with select clients receiving access before the broader rollout. Interested in receiving early access or want to discuss your AI strategy? Let us know.