Manual review scales with headcount. Our credit agents scale with compute, so every dollar we save goes back into our customers.

RampPublished by the organization itself (post), no named author

Post: Agentic Credit Analysis, Ramp Builders blog, October 22, 2026, at Decision automation as a customer advantage.

Checked against the source [ Grade B ] Said in the last year Ramp: $1.5 billion revenue, annualized revenue (ARR), by early June 2026

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Checked against the source by a first reader, then confirmed independently by a second reader who fetched the source without seeing the first reader's notes (Independent review agent (Claude Sonnet), blind second pass from passage text and citation only, no repository access, 2026-11-07).

Exact match in the rendered page text, under Decision automation as a customer advantage. Ramp authors' own words.

How to cite this passage

Ramp, “Agentic Credit Analysis”, Ramp Builders blog, 2026-10-22, at Decision automation as a customer advantage. https://builders.ramp.com/post/credit-analysis-using-semantics Archived at https://the-ai-record.com/passages/ramp-manual-review-scales-headcount-credit-2026

More from the same source

The result is an agentic pipeline that automatically decisions more than 30% of our credit risk account reviews that were historically all manual.

RampPublished by the organization itself (post), no named author

Post: Agentic Credit Analysis, Ramp Builders blog, October 22, 2026, at Introduction.

  • 30% credit reviews automated, as of 2026-10-22. No person in the loop

Checked against the source [ Grade B ] Said in the last year Ramp: $1.5 billion revenue, annualized revenue (ARR), by early June 2026 Passage page

Analysts review the agent-spread financials inside our existing credit tooling. Every line item traces back to a cell or page region in the source documents, so analysts can check the agent's work.

RampPublished by the organization itself (post), no named author

Post: Agentic Credit Analysis, Ramp Builders blog, October 22, 2026, at The agentic loop.

Checked against the source [ Grade B ] Said in the last year Ramp: $1.5 billion revenue, annualized revenue (ARR), by early June 2026 Passage page

We built a benchmark of 200 credit analyst-reviewed income statements and balance sheets, with the analyst's figures recorded for every metric and time period.

RampPublished by the organization itself (post), no named author

Post: Agentic Credit Analysis, Ramp Builders blog, October 22, 2026, at Evaluation dataset.

  • 200 benchmark statements, as of 2026-10-22. Level not stated

Checked against the source [ Grade B ] Said in the last year Ramp: $1.5 billion revenue, annualized revenue (ARR), by early June 2026 Passage page

The models showed strong financial reasoning but had a few common failure modes. To address these gaps, we surround the agent with deterministic code that verifies calculations, avoids double-counting, and reconciles duplicate figures across statements.

RampPublished by the organization itself (post), no named author

Post: Agentic Credit Analysis, Ramp Builders blog, October 22, 2026, at Deterministic scaffolding.

Checked against the source [ Grade B ] Said in the last year Ramp: $1.5 billion revenue, annualized revenue (ARR), by early June 2026 Passage page

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