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Chatham cuts trade validation from 30 minutes to under 4 with Codex

Chatham cuts trade validation from 30 minutes to under 4 with Codex

3 Key Points

  1. What happened

    Chatham Financial is using OpenAI's Codex and GPT-5.6 across internal and client-facing tools, and its Codex-built trade validation app reduced review from approximately 30 minutes to under 4 minutes in early measurement.

  2. Why it matters

    The trade validation app gathers evidence, compares key terms, and flags discrepancies, so advisors can spend less time assembling information and more time interpreting it for clients, though Chatham is still validating performance against real transactions and experienced reviewers.

  3. What to watch

    The expansion hinges on whether Chatham's validation against real transactions and experienced reviewers holds up, and the firm plans to extend trade validation across additional products and continue refining employee-built applications.

WHO IT HITSThis affects capital markets advisory teams and back-office operations staff who handle trade validation, hedging, and client reporting, as automating evidence-gathering and discrepancy-flagging could shift their time toward judgment-intensive work. It also matters to leaders evaluating how to deploy OpenAI tools in regulated, audit-heavy workflows.

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Context & Analysis

Chatham Financial's work with OpenAI centers on Process Zero, its reengineering consulting service that redesigns workflows around desired outcomes. For trade validation, Chatham's Controls and Data Integrity team identifies minimum inputs and evidence required, determines where human judgment is essential, and decides how AI should support the work. This approach reflects the firm's view that AI is not simply a faster way to run every process, as CEO Matt Henry put it.

The effort extends beyond a single workflow. Chatham uses Codex to build internal and client-facing tools, powers AI features with GPT-5.6, and is developing Chatham Onyx, a next-generation capital markets operating system that brings assets, debt, and derivatives into a governed environment with traceable data. Employees also build applications through Chatham Vibes, an internal platform that runs on GPT-5.6 Terra by default, with GPT-5.6 Sol as an optional upgrade. These applications support tasks such as reviewing maturing-cap trades, producing fixed-income rate sheets, and preparing hedging dashboards.

What the outcome hinges on is Chatham's continued validation of the trade validation app against real transactions and experienced reviewers before it expands automation. If that holds up, the firm anticipates advisors will spend less time assembling information and more time interpreting it, managing difficult cases, and advising clients — a shift that could matter to other capital markets firms weighing similar deployments.

FAQ
What did Chatham's trade validation app actually do?
Using Codex, Chatham developed an application that gathers supporting transaction evidence, compares key terms, and flags discrepancies for review. In early measurement, it reduced review from approximately 30 minutes to under 4 minutes.
Which OpenAI models does Chatham use?
Chatham uses Codex to build tools and GPT-5.6 to power AI features. Chatham Onyx leverages GPT-5.6 Sol, GPT-5.6 Terra, GPT-5.4, and GPT-4.1, with simpler tasks routed to the most cost-effective models.
Is Chatham fully automating trade validation?
No. Chatham is comparing the app's results with those of experienced reviewers before expanding automation, and plans to extend the application to additional trade types while maintaining appropriate controls and professional oversight.

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