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AI-powered lease accounting software: what to require, and what to ignore
Where AI belongs in lease accounting tooling and where it does not, plus the control evidence your auditor will expect from packaged software.

"AI-powered lease accounting software" generally means one of three things: software that reads lease documents and extracts terms, software that calculates the ASC 842 or IFRS 16 numbers, or software that watches the resulting data and flags what looks wrong. Those are different jobs with different tolerances for uncertainty, and lumping them under one label is what makes the category hard to evaluate.
The three layers, and what to require at each
| Layer | What machine reading plausibly does | What to require as evidence |
|---|---|---|
| Getting terms out of documents | Extracts dates, options, payments, and escalations | Page-level provenance, confidence indicators, a review workflow for low-confidence output |
| The measurement engine | Nothing probabilistic. This is defined arithmetic | Reproducibility: identical inputs always produce identical output |
| Monitoring and anomaly detection | Flags a lease whose terms suggest a missed trigger | Flags presented as suggestions requiring human disposition, never automatic postings |
| Drafting disclosures | Assembles tables and drafts narrative from data | Every figure tied back to source data, human review before filing |
Why reproducibility is the requirement, not accuracy
An auditor asking why the right-of-use asset moved needs a chain: this lease, this modification, this discount rate, this date, therefore this number. The practical test at demo stage is to run it, change one input, run it again, and ask the system to show its working, then ask what happens when the same lease is reprocessed after a software update.
What your auditor will actually ask about
PCAOB Auditing Standard 2201 lists among the risk factors for a control "whether the control relies on performance by an individual or is automated (i.e., an automated control would generally be expected to be lower risk if relevant information technology general controls are effective)." Automation earns the credit conditionally. The amended standard, effective 15 December 2026, also notes that auditor testing "might focus on the application controls built into" packaged software and the IT general controls around them, which means the vendor’s controls become part of your control environment.
The evaluation sequence
- 01Which layer is the AI in?
- 02Is the measurement deterministic, and can you prove it?
- 03What provenance comes with extracted fields?
- 04What is the review workflow for low-confidence output?
- 05What control documentation exists, and is there a current SOC 1 report?
- 06What happens on a software update? Can previously calculated periods change?
Test all of it on your genuinely difficult leases, not a clean sample. See how our lease accounting platform handles reproducibility and provenance together.
Frequently asked questions
Can AI do ASC 842 calculations?
- The calculations are defined arithmetic under the standard and should be performed deterministically. Machine reading is well suited to extracting the inputs from lease documents, and it is the wrong tool for producing the measurement itself.
What is the difference between AI lease abstraction and AI lease accounting software?
- Abstraction extracts terms from lease documents into structured data. Lease accounting software takes that structured data and produces the measurement, journal entries, and disclosures. Most "AI-powered" marketing describes the abstraction step.
Will auditors accept output from AI-based lease software?
- Auditors assess controls rather than technologies. PCAOB AS 2201 treats an automated control as lower risk where relevant IT general controls are effective, so the question is whether the control environment supports reliance.
What is a SOC 1 report and why does it matter here?
- It is an independent report on a service organization’s controls relevant to a user’s financial reporting. When a vendor’s software computes numbers that reach your statements, its controls form part of your control environment.
See REAL run end to end.
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