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3 minute read
From raw contract to committed trade: how capture works inside Euclid
Capturing a physical contract by hand takes an operator around eight minutes. Read the document, find the commercial terms, type them into the system. Multiply that across the contracts, invoices and confirmations a trading desk handles in a week and manual entry becomes one of the largest hidden costs in a CTRM (Commodity Trading and Risk Management) workflow. It is also where input errors enter the system.
Euclid AI automates that capture in three steps, and the architecture behind those steps matters as much as the speed.
Step 1: Ingest
The operator drops the trade document into the chat assistant built into the platform. There is no separate tool and no export routine. Euclid AI reads more than 50 document formats, including handwritten contracts, with 99.3% OCR (optical character recognition) accuracy.
Step 2: Extract
The AI converts the unstructured document into structured data and populates the Deal Capture interface automatically. Fields that took eight minutes to type by hand are returned in under ten seconds. Both figures cover data entry only, verification is a separate human step and is excluded from both.
Step 3: Commit
The operator reviews the populated fields and confirms the entry, committing the trade to the platform. Verification stays a human step, by design. The AI does the typing. Your team makes the decisions.
The step that never happens
In most AI tools, there is a fourth step hidden underneath the first three: the document travels to an external server for processing. That step is where sensitive commercial information, counterparty names, pricing and contract terms, leaves the firm's control.
Euclid AI runs on client-owned infrastructure or inside Euclid's private Swiss data centre, connected directly to the CTRM. The contract stays inside your perimeter from ingest to commit, and every automated step is traceable. Nothing is sent to a third-party AI running outside your jurisdiction.
What the numbers show
Firms using Euclid AI spend about 98% less time on manual document integration. Input errors fall by 72% compared with manual workflows. The 99.3% OCR accuracy holds across more than 50 document formats, and, crucially, the time an operator does spend goes to verification and judgement rather than data entry.
Beyond contract capture
Document processing is the visible starting point for private AI inside the platform. The same assistant parses daily PDF market reports, extracting high, low and mean prices for automatic database updates, and answers user questions with step-by-step guidance drawn from the platform's technical documentation using RAG (retrieval-augmented generation).
Each capability runs inside the same private environment. Over time, that same private AI layer will extend across the five domains the platform supports: Trading, Risk, Operations, Finance and Management.
Your trading data is your edge. A capture workflow should put it to work without letting it leave.
