Chatham OpenAI integration is reshaping how the firm delivers capital markets expertise by converting manual, repeatable tasks into governed, AI-assisted workflows that let specialists focus on judgment and client advice. Using Codex to build applications and GPT‑5.6 to power AI features, Chatham Financial aims to preserve traceability and professional oversight while accelerating routine work across transactions and analytics.
The firm reengineered trade validation through its Process Zero service, where the Controls and Data Integrity team redesigned the workflow around outcomes and minimum evidence requirements. Chatham built a trade validation application with Codex that collects transaction evidence, compares key terms and flags discrepancies for human review. Early measurements indicate the tool reduced average review time from about 30 minutes to under four minutes, though the company is validating outputs against experienced reviewers before broadening automation.
Chatham stresses that professional oversight remains central. The validation app’s outputs are compared with results from experienced reviewers to ensure auditable, accurate outcomes. Alex Nordlinger, co-head of Chatham’s AI Advisory practice, said the company is focused on producing outcomes that are both faster and verifiable, emphasizing comparison with human reviewers as part of the rollout.
The firm’s internal adoption of AI began with practical, day‑to‑day use of ChatGPT and Codex for research, drafting, analysis and software development. That grassroots use matured into a platform called Chatham Vibes, which lets employees create tailored applications that embed AI functionality. By default, these apps run on GPT‑5.6 Terra, with GPT‑5.6 Sol available as an optional upgrade based on per-app configuration.
Internal tools developed on Vibes now support client-facing workflows such as reviewing maturing-cap trades, preparing pricing workbooks and client communications, producing fixed-income rate sheets, assembling hedging dashboards and reviewing trade confirmations. Across these uses, Chatham maintains that professionals provide market context and judgement to review and refine AI outputs before they reach clients, preserving advisory standards while increasing throughput.
Chatham’s next-generation capital markets operating system, Chatham Onyx, brings assets, debt and derivatives into a connected, governed data environment designed to preserve traceability to source records while enabling AI-driven work. Codex is employed across Onyx’s development lifecycle to plan, build, test, document and review software, which the firm says shortens the path from concept to durable product capability without changing standards for accuracy, security or accountability.
Onyx uses a mix of models—GPT‑5.6 Sol, GPT‑5.6 Terra, GPT‑5.4 and GPT‑4.1—routing tasks according to complexity and cost. Simple analysis and non-production testing are assigned to cost‑effective models, while GPT‑5.6 is reserved for work requiring higher accuracy. One Onyx feature, ChatFIN, summarizes patterns in historical market data, helps users understand portfolios and links to legal documents for debt, derivative and lease terms. These capabilities are intended to make information and insights more accessible while leaving interpretation and client advice to Chatham’s advisors.
John DeGuenther, Chief Technology Officer, highlighted Codex’s role in converting product vision into working capabilities faster. The firm says Codex accelerates development without lowering the bar for traceability or professional review, enabling teams to move from prototype to durable functionality more quickly.
Chatham reports that translating routine data tasks into AI-assisted processes has freed time for advisors to focus on complex cases and interpretation. OpenAI models are used to perform structured comparisons, organize supporting evidence and surface exceptions, allowing experts to spend less time assembling information and more time applying judgement. The plan is to expand automated trade validation to additional products, refine employee-built applications on Vibes and continue using Codex in Onyx development.
Mike Noonan, Co‑Chief Operating Officer, summarized the approach by noting that the firm’s constraint was not the availability of expertise but the hours experts spent preparing to apply that expertise. By reclaiming those hours through automation and AI-assisted workflows, Chatham aims to increase the time professionals devote to client‑facing judgement and advice.
Chatham OpenAI integration represents a cautious yet systematic shift: automating evidence collection and routine checks while maintaining human review and auditable outcomes. The firm’s next steps—validating automated outputs, expanding product coverage and maturing internal platforms—will show whether the approach can scale across the broader capital markets work Chatham supports.
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