AI-SaaS

Growth & up

AI company accounting: token economics, end to end.

First-class accounting for companies whose books run on LLM/API tokens. Cost and revenue recognition, prepaid credits and breakage, R&D capitalization with §174, unit economics, and a one-click period close - all GAAP-grounded and configurable.

AI usage economics in Quoining

Subledger

01

A usage subledger built for tokens.

Import provider usage by CSV into a company-scoped provider/model taxonomy - input/output/cache tokens, requests, images, GPU-hours. Imports are idempotent and auto-create unknown providers and models, so the subledger is the operating layer under every cost and margin number.

  • Anthropic, OpenAI, Google, Bedrock, Azure taxonomy - extensible.
  • Idempotent CSV / manual import; dedupe across runs.
  • An AI-SaaS chart-of-accounts template applied on demand.

Live capture

02

Real-time cost capture - bring your own key, no code change.

Skip the CSV. Route your provider traffic through the Quoining gateway with your existing bring-your-own-key - one base-URL change in your SDK and a gateway token instead of your provider key. Every call is captured into the usage subledger in real time, priced per request, and attributable to the customer it served - so gross margin is cost-to-serve per customer, not a monthly guess.

  • Reuses your existing BYOK key - no admin key to provision.
  • One base-URL change; your app never holds the provider key.
  • Per-request capture with per-customer cost attribution.

Recognition

03

Cost and revenue, recognized into the GL.

Recognize usage cost (prepaid-asset relief or accrue-as-incurred) and customer revenue (bill-on-usage or prepaid-deferred) on configurable policies with no defaults - the engine refuses to post until you choose. Record customer prepaid credits as a contract liability that relieves into revenue as usage is consumed.

  • Cost: DR COGS/R&D/G&A, prepaid-asset or accrued.
  • Revenue (ASC 606): bill-on-usage or prepaid-deferred.
  • Customer prepaid credits as deferred revenue.

Commitments & breakage

04

Committed minimums, overage, and breakage.

Link a customer's usage to a committed-minimum arrangement so it recognizes as a single stream, and recognize overage above the minimum. When a prepaid credit expires unused, the stranded remainder is recognized as breakage revenue under ASC 606-10-55 - by a closed form that can't double-recognize.

  • Committed minimums with overage true-up (three methods).
  • Prepaid-credit expiry → breakage (ASC 606-10-55).
  • Single recognition stream - never double-counted.

R&D & tax

05

Capitalize R&D and carry the §174 tax layer.

Tag development-stage usage to capitalize it as internal-use software under ASC 350-40, place it in service as an amortizing intangible, and elect a §174 tax treatment per project - domestic §174A immediate expense or foreign §174 15-year amortization. The deferred-tax engine carries the as-incurred book-vs-tax timing difference, including the DTL→DTA flip.

Unit economics

06

Gross margin by model and by customer.

A read-only unit-economics report shows gross margin on AI usage overall and by model and by customer, with capitalized R&D excluded from margin and disclosed separately. Export to CSV or PDF. A one-click period close runs every recognition step in the correct order.

  • Margin by model and by customer; recognized-vs-recorded.
  • CSV / PDF export.
  • One-click close: cost → revenue → overage → breakage → §174.

Why Quoining

07

AI-token accounting, native - not a spreadsheet bolted onto SaaS metrics.

There is no AI-token-specific GAAP standard, so every policy with a real fork - cost treatment, revenue treatment, §174 election, breakage method - is configurable with no default, applied under existing GAAP and tax frameworks. The accounting is grounded in ASC 606, ASC 350-40, and §174, not a hardcoded conclusion.

Want a closer look?

See AI company accounting in a guided demo.

Walk through the workflow with our team. We'll show how it fits your books and answer questions on plan fit, migration, and rollout.

Questions

About AI company accounting.

Which plan includes AI company accounting?

Growth and Enterprise.

Is this the same as crypto accounting?

No. AI tokens are not digital assets - this is cost and revenue accounting for companies that consume LLM/API tokens, separate from the ASC 350-60 crypto module.

Do I have to use every step?

No. Each recognition policy is optional and has no default; the engine only runs the steps you've configured, and the one-click close skips the rest.

Can I export the unit economics?

Yes - the AI unit-economics report exports to CSV and PDF.

Ready to put AI company accounting to work?

Start a free account in minutes, see the plan that fits, or book a guided demo with our team.