Why Lease Accounting Implementations Shouldn't Take 6 Months

Kamal Akanni·March 10, 2026

An implementation specialist who spent seven years onboarding companies onto one of the largest lease accounting platforms told us what keeps customers from switching:

"That's the biggest thing that would keep clients from wanting to make that leap: being fearful of the implementation timeline."

Six to eight months. That is the standard implementation timeline for enterprise lease accounting software. Not because the software is complex to configure. Because humans have to read every PDF.

The timeline

Here is what a traditional implementation looks like versus Arvexi. The difference is not incremental; it is structural.

Timeline Comparison

Implementation: Traditional vs. Arvexi

Traditional6-8 months

Manual Abstraction

Template Upload

Error Correction

Parallel Validation

40% of timeline

150/batch limit

2-week loops

Manual compare

Stakeholder sign-off

Arvexi1-2 weeks

AI Extraction

Auto-Validation

Confidence QA

Schedule Generation

Go Live

<60s / lease

497-line validator

~85% auto-accept

<3s / lease

1-2 weeks total

Click any segment for details · Traditional timeline is 30× longer than Arvexi

The entire traditional timeline is dominated by a single activity: manual lease abstraction. A human reads each PDF, extracts 20-40 fields, enters them into a CSV template, uploads in batches of 150 (a platform limitation), and iterates through weeks of error correction cycles.

The economics

At $75-$150 per lease for manual abstraction, a 1,000-lease enterprise portfolio costs $100K+ in data entry alone, before you pay for the software. The implementation specialist confirmed this:

"They charged $75 to $150 per lease. Implementation took six to eight months."

Economics

Implementation Cost — 1,000 Leases

Vendor-Handled

They extract your leases

$0

$75-$150 / lease

Data abstraction$75K-$150K

Platform license$40K-$60K

Professional services$25K-$40K

Error correction cyclesIncluded

Self-Service

You extract your own leases

$0

$50-$75 / lease (your labor)

Your team's labor$30K-$50K

Platform license$20K-$30K

Template formatting~$5K

Error correction cyclesYour time

Arvexi

AI extracts in minutes

$0

<$1 / lease

AI extraction<$1K

Platform license$12K-$15K

QA review (your time)~10 hours

Error correctionAutomated

Savings vs. vendor-handled: The $100K+ in manual abstraction cost disappears entirely. AI extraction costs pennies per lease.-92%

Based on 1,000-lease enterprise portfolio · Numbers animate on scroll

The absurdity: these platforms already store all the right data structures. The amortization engine works. The journal entry generator works. The bottleneck is getting data into the system, not what the system does with it.

The 4 bottlenecks

Every traditional implementation hits the same four sequential bottlenecks. Each one adds weeks. Together they compound into months.

Root Causes

The 4 Sequential Bottlenecks

Manual Lease Abstraction

Humans read every PDF. Extract 20-40 fields per lease. At $7...

2-3 months

▾

Template-Based Upload

Data must be formatted into vendor-specific CSV templates. B...

2-4 weeks

▾

Error Correction Loops

Each upload batch generates errors: missing end dates, inval...

4-8 weeks

▾

Parallel Validation

Compare 3 months of journal entries from old system vs. new ...

2-4 weeks

▾

Click any bottleneck for details · Each one adds weeks to the timeline

"Our system had limitations where we could only upload about 150 at one time."

"Line 99 of part A was missing the end date. The client may take an additional two weeks to make corrections."

The key insight: all four bottlenecks stem from the same root cause: manual data entry. Remove that, and the entire timeline collapses.

Automation coverage

AI extraction doesn't just speed up abstraction. It eliminates three of the four bottlenecks entirely and automates 90% of the fourth.

Automation

Bottleneck Elimination Coverage

Lease Abstraction95%

AI extraction handles 95% of fields. Only 5 always-review fields require human QA.

Template Upload100%

FULLY AUTOMATED

Eliminated entirely. Direct PDF ingest — no CSV templates, no batch limits, no reformatting.

Error Correction80%

497-line auto-validator catches 80% of issues before they enter the system. Remaining 20% flagged for quick review.

Parallel Validation90%

Schedule generation on extraction means validation against legacy data starts day 1. 90% automated comparison.

Average automation coverage across all 4 bottlenecks91%

Bars animate on scroll · Remaining manual work is confidence-gated QA review

The remaining manual work is confidence-gated QA: reviewing the ~15-20% of fields where the model's confidence falls between 0.80 and 0.95. Five always-review fields (classification, interest rate, purchase option price, termination penalty, guarantee amount) require human sign-off regardless of confidence. Everything else auto-accepts at ≥0.95.

The result: 250 person-hours of QA review becomes 25-40 hours. Implementation timelines measured in weeks, not months.

See Document Intelligence to learn more about these capabilities.

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