Question 1

How is Ledger Layer different from LeaseAccelerator, Visual Lease, or Nakisa?

Accepted Answer

Legacy lease accounting systems cost $25,000–$150,000/year and require 3–6 month implementation projects. Ledger Layer starts at $49/month with no implementation project — upload your Excel file, get audit-ready output. We cover IFRS 16, ASC 842, IFRS 15, and ASC 606 on a single deterministic engine. The engine is hash-verified, present-value tie-out is validated to $0.01, and every journal is approval-gated by a human reviewer. AI extracts data from contracts; AI never touches the math.

Question 2

Why can't I just use ChatGPT or Claude for lease accounting?

Accepted Answer

LLMs hallucinate numbers. They are probabilistic text predictors, not deterministic calculators. For a $10M lease portfolio, a 0.5% calculation error is $50,000 — enough to materially misstate financials. Ledger Layer uses AI only for extraction (reading contracts, pulling fields) and deterministic code for every calculation: present value, ROU amortization, interest accretion, modifications, remeasurements. The engine produces the same output every time for the same input, and every output is hash-verified so auditors can reproduce it.

Question 3

What standards does Ledger Layer cover?

Accepted Answer

IFRS 16 (leases), ASC 842 (leases, US GAAP), IFRS 15 (revenue), and ASC 606 (revenue, US GAAP). All four run on the same deterministic engine with paragraph-level citations — IFRS 16 para 53–58 disclosures, ASC 842-20-50 disclosures, IFRS 15 5-step model, ASC 606 SSP allocation. Dual-reporting entities can run IFRS 16 and ASC 842 side-by-side on the same lease.

Question 4

How does the MCP agent interface work?

Accepted Answer

MCP (Model Context Protocol) lets AI agents like Claude, ChatGPT, and n8n call Ledger Layer directly. We expose 50+ tools — lease_extract, lease_confirm, engine_run, revenue_contract_extract, journal_search, disclosures_get, and more. Your agent can read a contract from email, extract it via lease_extract, confirm it via lease_confirm, run the engine, and fetch disclosures — all programmatically. Available on Professional and Enterprise plans.

Question 5

How much does Ledger Layer cost compared to legacy systems?

Accepted Answer

Starter is $49/month — 1 entity, up to 50 leases and 50 revenue contracts, all 4 standards (IFRS 16, ASC 842, IFRS 15, ASC 606). Professional is $499/month — up to 50 entities, unlimited leases, unlimited revenue contracts, all 4 standards, MCP agent interface, webhooks, and every new module added to the roadmap included free. Enterprise is custom-priced for audit firms and dual-reporting groups. Compare that to LeaseAccelerator at ~$60k/year entry, Visual Lease at ~$25k/year entry, Nakisa at $80k+/year, and CoStar at $40k+/year — all lease-only and all with 3–6 month implementation projects. Ledger Layer onboarding is 3–5 days, not months.

Question 6

Is Ledger Layer auditor-ready?

Accepted Answer

Yes. Every calculation is hash-verified — the engine signs each output with a cryptographic hash that auditors can recompute from the inputs. Present value is validated to $0.01 against the contractual schedule. Every journal entry is approval-gated: no journal posts without a human reviewer. Full audit trail: who extracted, who reviewed, who approved, timestamp, hash. Big 4 firms can drop Ledger Layer output directly into workpapers.

Question 7

Who can access what? (RBAC)

Accepted Answer

Ledger Layer has four roles. OWNER — full admin, billing, entity setup, user management. ADMIN — entity configuration, policy binding, FX/IBR rates, user management within entity. PREPARER — upload contracts, extract data, confirm leases, run engine, prepare journals. REVIEWER — review and approve journals, cannot create or modify. Segregation of duties is enforced at the database level — a preparer cannot approve their own journal.

Question 8

Can I import from Excel?

Accepted Answer

Yes — this is the primary onboarding path. Upload your existing lease or revenue contract spreadsheet and Ledger Layer extracts fields, flags issues, and produces audit-ready output. You can also upload PDF contracts directly — the extractor reads them, pulls terms, and you confirm the extraction before the engine runs.

Question 9

How fast can I get started?

Accepted Answer

3–5 days from signup to first audit-ready output, for most teams. No implementation project, no consultants, no multi-month rollout. Upload an Excel file on day 1; your first journals are approval-ready on day 2–3; by the end of the week you're running month-end close. Enterprise deployments with multi-entity setup and policy overlays take longer.

Question 10

What happens if I need to cancel?

Accepted Answer

Cancel anytime from settings. No minimum term on Starter or Professional. Your data is exportable at any point — full journal history, lease schedules, disclosures, audit trail — in CSV, JSON, or Excel. We don't hold your data hostage.

Capability	Ledger Layer	Excel / Sheets	ChatGPT / Claude	Lease SaaS
AI-ready accounting data	✓ Structured, queryable	✕ Unstructured	~ Interprets, doesn't verify	✕ Closed data
Deterministic compute	✓ Hash-verified	~ Silent formula drift	✕ Not audit-grade	✓ Varies by vendor
All four standards (IFRS 16, ASC 842, IFRS 15, ASC 606)	✓ One engine	✕ Build each manually	~ Approximate only	✕ Lease only
Approval gate + immutability	✓ DB-enforced	✕ Any cell, any time	✕ None	~ Workflow-dependent
AI agent interface (MCP)	✓ 75+ tools	✕	✕	✕
Disclosure packs (paragraph-cited)	✓ Auto, $0.01 tie-out	✕ Manual	~ Draft only	~ Varies

Audit-grade accounting.
Built for the AI era.

Three layers. Strict boundaries. One audit trail.

AI extraction

Deterministic engine

Human approval

Try it yourself. No sales call.

37-minute walkthrough. Then decide.

The only AI-ready accounting layer with audit controls.

Same engine, every tier. Both modules included.

Audit, AI, and control questions.

Implementation guides, APIs, and what’s next.

IFRS 16 Implementation Guide

ASC 842 Implementation Guide

IFRS 15 Implementation Guide

ASC 606 Implementation Guide

API Reference

AI Agent Tools (MCP)

Head-to-head with every major alternative

Your next close is your last manual close.