Key Takeaways
- • ClauseGrade has launched an independent accuracy testing service for AI tools used in asset-based and private credit lending, according to ABF Journal.
- • The test suite contains 40 synthetic lending tasks, with answer keys computed in code, covering maintenance covenants, EBITDA add-back caps, borrowing bases, NAV facility tests, amendment chains and reporting deadlines.
- • Nine of the 40 tasks are borrowing base cases, and 15 contain no problem, so tools that flag everything are penalized.
- • Each tool response is scored on problem detection, numerical accuracy, escalation to a human when needed, and citation of the governing clause, with every task run three times to measure consistency.
- • Scorecards remain private to the commissioning party, and the fee is fixed per scope regardless of results.
Summary
ClauseGrade, a new independent testing firm founded by credit practitioners, has opened accuracy testing for artificial intelligence tools used in asset-based and private credit lending, according to ABF Journal. The firm tests AI tools against a fixed set of 40 synthetic lending tasks whose answer keys are computed in code rather than drawn from live transactions.
The suite covers maintenance covenants, EBITDA add-back caps, borrowing bases, NAV facility tests, amendment chains and reporting deadlines. Nine tasks are borrowing base cases, including aged and cross-aged receivables, concentration limits, a dilution trigger, an advance-rate step-down, an inventory sublimit and an overadvance. Fifteen of the 40 tasks contain no problem at all, which penalizes tools that indiscriminately flag every item.
Each response is scored on four criteria: whether the tool identified the problem, whether it calculated the correct number, whether it escalated when a human needed to be informed, and whether it cited the governing contract clause. Every task is run three times to measure consistency. A second checker, written independently of the main calculation engine, recomputes every answer key, and the two agree on all 40 tasks.
ClauseGrade's commercial model is designed to preserve independence. Scorecards are private to whoever commissions them, and nothing is published without written consent. The fee is fixed per scope and does not depend on the outcome. The firm works with AI vendors seeking outside evidence for their accuracy claims and with lenders who want to validate a tool before relying on it.
The suite covers maintenance covenants, EBITDA add-back caps, borrowing bases, NAV facility tests, amendment chains and reporting deadlines. Nine tasks are borrowing base cases, including aged and cross-aged receivables, concentration limits, a dilution trigger, an advance-rate step-down, an inventory sublimit and an overadvance. Fifteen of the 40 tasks contain no problem at all, which penalizes tools that indiscriminately flag every item.
Each response is scored on four criteria: whether the tool identified the problem, whether it calculated the correct number, whether it escalated when a human needed to be informed, and whether it cited the governing contract clause. Every task is run three times to measure consistency. A second checker, written independently of the main calculation engine, recomputes every answer key, and the two agree on all 40 tasks.
ClauseGrade's commercial model is designed to preserve independence. Scorecards are private to whoever commissions them, and nothing is published without written consent. The fee is fixed per scope and does not depend on the outcome. The firm works with AI vendors seeking outside evidence for their accuracy claims and with lenders who want to validate a tool before relying on it.
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