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credit-memo-drafting

Free

Financials + filings -> cited credit memo, covenant extraction, risk flags, peer comps.

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Overview

credit-memo-drafting is a grounded underwriting assistant for a commercial bank's credit team. From a borrower's financial statements and filings it produces a cited credit memo, extracts covenants with a deterministic compliance status, raises risk flags, and assembles peer comparisons. It is decision support for a credit officer, not a credit decision: every memo is maker-checker gated and always requires human review. The system is built ports-and-adapters (hexagonal) on the Gemini Enterprise Agent Platform (formerly Vertex AI), region-pinned to asia-southeast1 (Singapore) for data residency. The same domain core runs against the managed GCP stack, a fully offline local stack, the shared platform services, or an on-premise stack, selected by one profile switch. It produces four cited artifacts: CreditMemo, Covenant[], RiskFlag[], and PeerComparison. Under the local profile the whole pipeline runs on a laptop with no Google Cloud, no API key, and no emulator: retrieval is SQLite FTS5 over a small built-in synthetic corpus, the LLM is a deterministic schema-driven generator, redaction is regex DLP, and audit is an append-only local store. The HTTP API supports opening an analysis, uploading the credit file, extracting and confirming spreads, building the memo, reviewing revisions and comments, and exporting a committee pack.

Pricing

Free

Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.

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Prices and limits may change. Confirm the currency, billing period, seat minimum and usage caps on the official website.

Use Cases

  • Credit teams use it to produce a cited credit memo from borrower financial statements and filings.
  • Underwriting teams use it to extract covenants with a deterministic compliance status.
  • Risk teams use it to raise risk flags for a borrower.
  • Analysts use it to assemble peer comparisons against same-industry SEC filers.
  • Credit officers use it as decision support with maker-checker gating and human review.
  • Teams use the local profile to run the whole memo pipeline offline on a laptop.
  • Teams use the HTTP API to open an analysis, upload the credit file, and get the manifest back.
  • Teams use it to export the committee pack as bytes.

Features

AI assistant

Natural language interface

Workflow automation

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