AskGAAP's product is the Intelligent Scenario Analyzer, being built to read the fact pattern, analyze the technical position, and, when you want one, document the result — designed for source-bound citations and reviewable proof chains.
AskGAAP is in private beta: source-binding and proof-chain controls are design goals under end-to-end validation, and independent proof verification is not yet publicly available.
How does AskGAAP make every US GAAP answer verifiable without trusting the vendor?
The planned architecture is designed to keep source references and cryptographic proof data available for professional review.
What is AskGAAP's product, and what does it do with an accounting scenario?
AskGAAP's product is the Intelligent Scenario Analyzer. You bring the scenario — a contract, a transaction, an open question — and the analyzer is being built to read the fact pattern, analyze the technical position, and, when you want one, document the result. These are capabilities of one product, not a fixed sequence: the analyzer is designed to let you revisit the analysis as facts change, stop once you reach a supported conclusion, and produce an output only when you need one. Each capability and its source-binding controls remain under private-beta validation.
Ingest the contract, the correspondence trail, and the deal structure. Surface the terms that matter under standards such as ASC 606, 842, 805, and 718. Nothing concluded — the controller's fact-pattern analysis stays the controller's job.
Map the fact pattern across authoritative accounting and financial reporting guidance — recognition, measurement, presentation, and disclosure. Surface applicable guidance with paragraph-level citations. Designed with a deterministic synthesis phase — no LLM freedom to invent a paragraph that does not exist.
Choose the output that fits the moment — a workpaper-structured memo, action notes, a saved analysis to return to later, or a draft email to stakeholders. Outputs meant for the audit file are structured for external-auditor review workflows. Each claim is designed to link cryptographically to the authoritative source, so an external auditor can verify it independently once public verification is available — without trusting AskGAAP's assertions.
AskGAAP is being built for corporate finance and accounting leaders — CFOs, controllers, chief accounting officers, and technical accounting leads. The planned launch focus includes workflows involving ASC 606 revenue recognition, ASC 842 leases, ASC 805 business combinations, ASC 718 stock-based compensation, ASC 740 income tax, and ASC 815 derivatives and hedging.
The design target is workpaper-structured output for professional review, with source and proof data organized for finance and accounting workflows. Product behavior remains under private-beta validation; no auditor or regulator acceptance is promised.
How does AskGAAP keep its own AI accountable to the controller?
Four questions a controller should put to any AI used in technical accounting, and how AskGAAP's private-beta design is built to answer them. Structured to align with the COSO internal-control framework. That is an AskGAAP design choice, not a claim that an external auditor, regulator, or standard setter requires or will accept this implementation.
What does every AskGAAP scenario analysis give you?
No bolt-on documentation pass after the fact. Each scenario analysis is designed to carry the supporting evidence the engagement partner will ask for, structured the way they expect to see it. A memo is one optional way to package that analysis — many scenarios end in a supported conclusion, not a document.
What authoritative guidance is AskGAAP built on, and how does it weigh one source against another?
AskGAAP is built on a structured body of authoritative accounting and reporting guidance, organized as an Authority Hierarchy: primary authority first, then secondary authoritative sources, then implementation and interpretive guidance. The analyzer is designed to rank guidance in that order, cite the source it relies on, and label its own derived analysis as analysis — so the accounting and disclosure implications of a scenario trace back to the authority that supports them.
The sources that establish the requirement. Where they speak, they govern.
Professional and international standards consulted alongside primary authority, never above it.
Guidance that shows how the standards are applied in practice. It informs the analysis; it does not outrank the authority it interprets.
Rank. The analyzer is designed to weigh guidance by its place in the hierarchy, so interpretive material never displaces the primary authority it explains.
Cite. Positions are designed to point back to the source they rely on, at paragraph level where the source allows it.
Derive. Where AskGAAP infers or derives an implication from the guidance, the result is presented as AskGAAP analysis with its supporting authority, never as authoritative text.
What should a controller understand about AI in technical accounting before an audit?
The Controller's Technical Accounting AI Knowledge Base is not what AskGAAP sells. It is the practitioner's voice on the problems AskGAAP is being built to solve. Read it, share it with your team, push back where you disagree.
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What should a finance team check before relying on any AI tool for accounting and reporting work?
How it protects your data, what it will not do, and what it costs — worth asking of any AI tool, including AskGAAP.
General-purpose AI assistants and close-automation tools can be useful, but their outputs may vary in reliability, accuracy, and completeness as facts, documents, and conversation context become longer and more complex. AskGAAP is being designed for source-bound technical-accounting work, so material positions remain connected to supporting facts and authoritative sources for professional review. The product remains in private-beta validation.
Public prices are not set while the product remains in private beta. The planned structure is:
Billing, cancellation, credit, rollover, and refund rules are published in the Billing, Cancellation and Refund Policy.
Who built AskGAAP?
AskGAAP is a pre-launch product shaped around the tension between business speed, professional judgment, and reviewable support.
AskGAAP is being built around controller and technical-accounting workflows. The product remains in private beta while its source-binding, review, and proof controls are validated.
Built by Contract Intelligence Systems LLC — a technology company with patent-pending architecture. Independent of any audit firm, any FASB-licensed publisher, and any general-purpose AI vendor.
Frequently asked questions about AskGAAP, with answers controllers can cite.
Ten questions, ten direct answers. The same Q&As are provided as JSON-LD FAQPage structured data for machine readability; this does not guarantee display, ranking, or citation by any search or answer engine. Questions about using AI in your own technical accounting work are answered in the Controller's Guide.
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