ZapLease is an AI-powered lease accounting software designed for Indian enterprises. It automates Ind AS 116 and IFRS 16 compliance by extracting lease data from documents, managing the full lease lifecycle, handling modifications, and generating audit-ready financial reports.

How accurate is the AI document extraction?

ZapLease AI extraction achieves 95%+ accuracy when processing lease contracts in PDF, DOCX, or scanned image formats. Key terms like lease start dates, payment schedules, escalation clauses, and incremental borrowing rates are extracted automatically.

Does ZapLease support Ind AS 116 compliance?

Yes, ZapLease is fully compliant with Ind AS 116 (Indian Accounting Standard for Leases). It automatically calculates Right-of-Use assets, lease liabilities, generates journal entries, notes to accounts, and all required disclosure reports.

How many lease modification scenarios does ZapLease handle?

ZapLease handles all 4 lease modification scenarios (S1-S4) as defined by Ind AS 116 and IFRS 16, with correct P&L treatment and automatic recalculation of lease liabilities and ROU assets.

Can ZapLease manage leases across multiple companies?

Yes, ZapLease supports multi-company management with parent/subsidiary structures and consolidated reporting across 9 currencies, making it ideal for enterprise groups with complex lease portfolios.

WHAT-IF ANALYSIS

What-If Analysis for Smarter Decisions

Test hypothetical lease parameters before committing. Compare up to 5 scenarios, analyze LL, ROU, depreciation, and FY-wise breakup — all without touching your live data.

Try Sensitivity Analysis

Sensitivity Analysis

Monthly Rent

₹1,50,000

IBR (%)

9.50%

Escalation (%)

5.00%

Tenure

48 months

Lease Liability

₹58,42,360

ROU Asset

₹56,18,900

Total Payments

₹82,50,000

PV of Payments

₹58,42,360

S1S2S3+ Add

Comprehensive Output Metrics

Every scenario calculates the full set of lease accounting outputs so you can make informed decisions.

Lease Liability (LL)

Present value of future lease payments under the tested parameters

ROU Asset

Right-of-use asset value calculated from the hypothetical terms

Depreciation Schedule

Period-by-period depreciation of the ROU asset

Tenure

Calculated lease duration based on start and end dates

Total Payments

Sum of all lease payments over the tenure

Present Value (PV)

Discounted present value of all future cash flows

FY-Wise Breakup

Year-by-year breakdown of LL, ROU, depreciation, and payments

Analyze with Confidence

Compare Scenarios

View up to 5 saved scenarios side-by-side to compare LL, ROU, depreciation, and total payments.

Export Analysis

Download scenario results to Excel for offline review, presentations, or management reporting.

No Impact on Live Data

Sensitivity analysis operates in a sandbox. No changes affect your actual lease portfolio or reports.

All Frequencies Supported

Test with monthly, quarterly, semi-annual, or annual payment frequencies including custom tiers.

Frequently Asked Questions

How many scenarios can I save?

You can save up to 5 scenarios per analysis session. Each scenario preserves the full set of input parameters and calculated outputs so you can compare them side-by-side at any time.

Does sensitivity analysis affect my actual lease data?

No. Sensitivity analysis runs in a completely isolated sandbox. Nothing you test, save, or export affects your live lease portfolio, amortization schedules, or reports.

What parameters can I change in a scenario?

You can modify any lease input parameter: monthly rent, IBR (incremental borrowing rate), escalation percentage, lease start and end dates, payment frequency, security deposit, and ARO. Custom payment tiers are also supported.

Can I export scenario comparisons?

Yes. You can export individual scenario results or a side-by-side comparison of all saved scenarios to Excel. The export includes all calculated outputs: LL, ROU, depreciation, tenure, total payments, PV, and FY-wise breakup.

Test Before You Commit

Run what-if scenarios on any lease parameter. See the impact before making decisions.

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