ASC 606
The Usage-Based Revenue Recognition Playbook
Metered pricing, resold model tokens, prepaid credits, and outcome-based agent fees collided with a standard written for fixed-price contracts. Here are the six judgment calls where finance teams actually spend their close, with the codification, the entries, and the fix for each.
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6
judgment calls, each with a decision tree and journal entries
ASC 606
every conclusion cited to the subparagraph, not the section
2
Big-4 handbooks cross-checked for every position
100%
audit-ready: provenance and evidence on every output
The Six Questions
The judgment calls that stall an AI-native close
Each links straight into the full analysis: theory, a realistic scenario, a decision tree, and the operational fix.
Fine-Tuning, Custom Models & Setup Fees
A big upfront fee to fine-tune a custom model: its own deliverable, or spread over the usage term?
Outcome-Based & Agentic Pricing
Billing per resolved ticket or successful action: how do you recognize revenue you only earn if the agent succeeds?
Principal vs. Agent: Gross vs. Net
Reselling third-party model tokens and GPU compute with a markup: report the gross billing or just your margin?
Prepaid Credits & Breakage
Prepaid credit packs that expire: when do you recognize the credits customers never use?
Period-End Unbilled Usage & Cutoff
Billing dates that don’t line up with month-end: do you recognize usage delivered but not yet invoiced?
Costs to Obtain a Contract
Sales commissions on contracts with no committed term or volume: capitalize them, and over what period?
What’s Inside
Every question, worked four ways
This isn’t a summary of the standard. Each question is worked end-to-end in the same four-part structure, so you move from “what does the codification say” to “what do I book Monday” without leaving the page.
Accounting Theory
What ASC 606 actually requires, cited to the subparagraph: the recognition principle behind the question, in plain language.
Business Scenario
A realistic AI-native contract with real numbers: the exact fact pattern that makes the call ambiguous in the first place.
Decision Tree
The if/then logic your auditor will walk: which facts flip the answer, and where the judgment actually lives.
Operational Solution
The fix: illustrative journal entries, the true-up mechanics, and how to keep the position audit-ready every close.
Where to Focus
Not every question is equally common, or equally costly
Each question plotted on financial impact and operational effort; bubble size shows roughly how many metered, AI-native companies actually run into it. Cutoff and gross-versus-net touch nearly everyone; outcome-based pricing is far rarer today but carries the highest financial stakes.
Where to Focus: Impact, Effort & Prevalence
Lower priority
HIGHER
Bubble size = share of companies affected
Fine-Tuning, Custom Models & Setup Fees ~45%
Outcome-Based & Agentic Pricing ~35%
Principal vs. Agent: Gross vs. Net ~80%
Prepaid Credits & Breakage ~65%
Period-End Unbilled Usage & Cutoff ~90%
Costs to Obtain a Contract ~55%
Prevalence figures are directional Hyphenate estimates for metered AI-native companies, not survey data. Read them as relative frequency.
Sources & Precision
Cited to the subparagraph, not the section
Every reference points to the specific subparagraph that carries the conclusion, cross-checked against two Big-4 handbooks. Where a call is fact-dependent, the guide says so rather than overstate certainty.
FASB Codification: Revenue from Contracts with Customers
Other Assets & Deferred Costs: costs to obtain and fulfill a contract
Deloitte Roadmap & KPMG Handbook on Revenue
Take the full guide with you
The complete playbook: every question with codification references, journal entries, decision trees, and the operational fix.
All six questions, fully worked
Illustrative journal entries and true-ups
Cross-checked against 2 Big-4 handbooks
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See how Audit-Ready Agents handle these six questions on your contracts
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