saascode
finance, accounting & spend·run 75 · May 2026

Fasbinventory

A controller-led AI use and control inventory for financial reporting that links systems to processes, assertions, risks, controls and evidence, with any future rule-specific schema gated on current official accounting authority.

Genesis score5.72/10
Make Fasbinventory real.0/500
500 more votes and Fasbinventory is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
2Conflicting secondary-source accounts
0Official AI disclosure drafts verified in the input
0Reviewed direct readiness products found
The case

Public-company controllers may need a structured inventory of AI used in revenue recognition, reserves, impairment, leases and other financial-reporting processes. The supplied research is internally contradictory: one secondary source described an AI disclosure exposure draft, while another reported no open exposure draft at the cited time. No official source was verified in the input, so the claimed rule, dates and first-mover window cannot anchor the product.

Fasbinventory should separate official authority and version, applicability and management or counsel conclusion, legal entity and reporting period, AI system and owner, vendor and model identity where known, financial-reporting process and assertion, data source, human judgment, change, risk candidate, internal control and owner, evidence, test, exception, deficiency candidate, management finding, remediation, auditor request and response, auditor acknowledgment and independent conclusion.

The product must not invent a disclosure rule, determine materiality, control design or operating effectiveness, generate audit conclusions, impair auditor independence, inherit vendor compliance, expose confidential audit data, auto-file, or present an inventory or evidence packet as readiness, assurance or compliance.

Who pays — and why

United States public-company controllers, financial-reporting and internal-control teams inventorying AI use in financially significant processes.

What it unlocks
An authority registry with official standard or filing source, document and version, status, effective dates, jurisdiction, applicability owner, management or counsel conclusion, validation date and expiry
An AI system inventory with legal entity, process owner, vendor, system and model identity where known, purpose, financial-reporting process, assertion, data source, human judgment, change history and retirement
A control matrix separating risk candidate, control objective, control activity, owner, frequency, evidence, design review, test, exception, deficiency candidate, management finding and remediation
An auditor collaboration chain separating management evidence, access policy, request, response, acknowledgment, correction and the auditor's independent procedure and conclusion
How Genesis scored it
5.72across seven criteria
tension 7temporal 5blindspot 5buyer 5leverage 8convergence 5why-not 5
8
Asymmetric leverage

A governed process, risk, control and evidence model can scale after official and customer configuration.

7
Productive tension

First-mover speed must coexist with official authority, materiality judgment, internal-control accountability and auditor independence.

5
Why nobody did it

The record does not prove which regulatory or workflow barrier recently changed.

Why it scored well

AI use in financial reporting creates a plausible controller inventory and control-evidence need even without a dedicated disclosure rule.

What's holding it back

The core rule premise is unverified and contradicted in the input; official authority, buyer demand, audit workflow, security, budget and direct differentiation remain open.

Signals detected3 sources crossed
SignalGenesis research

SignalGenesis research

SignalGenesis invention

Direction brieffasbinventory.md
fasbinventory.md
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