Accounting & Audit Prover MCP Connector for Claude
A+Forces AI agents to validate accounting arguments against explicit US standards (FASB ASC, PCAOB), demanding real materiality thresholds, Risk of Material Misstatement (ROMM) assessments, and grounded evidence instead of vague 'GAAP' appeals.
AI agents generate accounting memos and audit plans that look professional but fail fundamentally on regulatory compliance. They rely on vague appeals to 'GAAP' rather than citing specific Codification (ASC) sections, and they propose audit procedures without first quantifying Materiality or the Risk of Material Misstatement (ROMM). In auditing, 'looks correct' is not an opinion.
The Problem It Solves
AI-generated accounting/audit reasoning fails for five specific reasons:
- Standard blindness — Vague references to "GAAP" without citing specific FASB ASC or PCAOB standards.
- Unquantified materiality — Analyzing misstatements without establishing a quantitative materiality threshold (e.g., 5% of Pre-Tax Income).
- Ignored ROMM — Proposing audit procedures without assessing the Risk of Material Misstatement (Inherent Risk x Control Risk).
- Vague procedures — Recommending generic 'testing' instead of specific substantive procedures (vouching, tracing, confirmation).
- Ungrounded evidence — Relying on assumptions rather than requiring sufficient, appropriate audit evidence.
How It Works
Accounting & Audit Prover uses 5 Decision Pivots grounded in US accounting practice:
- standardComplianceValidated — Is the conclusion explicitly validated against a stated, specific US standard (FASB ASC, PCAOB)?
- materialityQuantified — Is materiality explicitly quantified and applied to the issue?
- rommAssessed — Is the Risk of Material Misstatement (ROMM) explicitly assessed before designing procedures?
- proceduresSpecified — Are specific substantive audit procedures or accounting treatments detailed?
- evidenceGrounded — Is the conclusion grounded in specific, sufficient, and appropriate evidence requirements?
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