CORAA
ಲೆಡ್ಜರ್ ಪರಿಶೀಲನೆ· लेखा

Every ವೌಚರ್, examined. ಇಲ್ಲ ಮಾದರಿ.

ಲೆಡ್ಜರ್ ಪರಿಶೀಲನೆ analyzes 100% of the general ಲೆಡ್ಜರ್, identifies structured exceptions, and generates review-ready ವರ್ಕಿಂಗ್ ಪೇಪರ್‌ಗಳು. ಇಲ್ಲ pivot tables. ಇಲ್ಲ manual filtering. Designed for professional ಆಡಿಟ್ teams.

CORAA ಲೆಡ್ಜರ್ ಪರಿಶೀಲನೆ AI Module Dashboard
ವ್ಯಾಪ್ತಿ

ಇಲ್ಲt 5%. ಇಲ್ಲt 10%. One hundred.

The Agent identifies patterns across the entire dataset, eliminating the ಮಾದರಿ ಅಪಾಯ that hangs over selective review. Every transaction is read, classified, and either cleared or surfaced.

Of transactions analysed
100%
Full-population, not a selective sample.
Exception categories
8
Structured, ಆಡಿಟ್-anchored buckets.
Anchor
SA 240
ಜರ್ನಲ್ ಎಂಟ್ರಿ ಪರೀಕ್ಷೆ under SA 240, embedded.
Two paths

Why traditional ಪರಿಶೀಲನೆ falls short.

Traditional

ಮಾದರಿ ಮತ್ತು Excel

  • -ಮಾದರಿ a small percentage of transactions
  • -Manual Excel filtering
  • -Threshold-based sorting
  • -ಜರ್ನಲ್ ಎಂಟ್ರಿ spot checks
ಮಾದರಿ ಅಪಾಯ, inconsistent review quality, heavy staff dependency, time-intensive documentation.
CORAA

Structured full-population analysis

  • Analyzes 100% of transactions
  • Automated pattern detection
  • Structured exception ವರದಿ ಮಾಡುವಿಕೆ
  • ಆಡಿಟ್-ready ವರ್ಕಿಂಗ್ ಪೇಪರ್‌ಗಳು
You review. The Agent analyses.
ಇದು ಹೇಗೆ ಕೆಲಸ ಮಾಡುತ್ತದೆ

Three ಹಂತಗಳು. Every trace logged.

Step 01

Upload your general ಲೆಡ್ಜರ್ extract

Simply upload your GL file. The Agent handles the rest, from parsing to classification to exception scoring.

Step 02

Automated analysis across ten dimensions

The Agent evaluates ಜರ್ನಲ್ ಎಂಟ್ರಿ behavior, posting patterns, cut-off timing, threshold deviations, duplicates, round numbers, high-ಅಪಾಯ account combinations, non-business-day postings, unusual vendor activity, and manual overrides.

Step 03

Structured exceptions, not raw output

ಎಲ್ಲಾ transactions are evaluated. Only structured exceptions are surfaced. You review. The Agent analyses.

Inside the analysis

  • ಜರ್ನಲ್ ಎಂಟ್ರಿ behavior
  • Posting patterns
  • Cut-off timing
  • Threshold deviations
  • Duplicate and near-duplicate detection
  • Round-number analysis
  • High-ಅಪಾಯ account combinations
  • ಇಲ್ಲn-business day postings
  • Unusual vendor activity
  • Manual override patterns
Exception detection

Structured buckets for review.

ಫಲಿತಾಂಶಗಳು are grouped by category for efficient review. Each flagged item carries ವೌಚರ್ reference, ಲೆಡ್ಜರ್ account, date, amount, detection logic explanation, confidence score, and direct traceability to source.

ವರ್ಗ
Unusual ಜರ್ನಲ್ ಎಂಟ್ರಿಗಳು
Surfaced with detection logic, confidence score, and source linkage.
ವರ್ಗ
Late-night postings
Surfaced with detection logic, confidence score, and source linkage.
ವರ್ಗ
Period-end adjustments
Surfaced with detection logic, confidence score, and source linkage.
ವರ್ಗ
ಹಿಂದೆdated entries
Surfaced with detection logic, confidence score, and source linkage.
ವರ್ಗ
Round-value transactions
Surfaced with detection logic, confidence score, and source linkage.
ವರ್ಗ
Duplicate payments
Surfaced with detection logic, confidence score, and source linkage.
ವರ್ಗ
High-value adjustments
Surfaced with detection logic, confidence score, and source linkage.
ವರ್ಗ
Control override indicators
Surfaced with detection logic, confidence score, and source linkage.
Module, not tool

What makes this an AI ಮಾಡ್ಯೂಲ್.

Traditional tool

Runs fixed rules

Pre-configured filters. Same query every ಆಡಿಟ್. ಇಲ್ಲ follow-up. ಇಲ್ಲ explanation.

ಲೆಡ್ಜರ್ ಪರಿಶೀಲನೆ module

Interprets and ವಿವರಿಸುತ್ತದೆ

  • Interprets patterns
  • Adapts to transaction behavior
  • Surfaces contextual anomalies
  • Explains why items are flagged
  • ಬೆಂಬಲಗಳು follow-up queries

You can ask

"Show high-value entries posted after 8 PM."
"Identify manual entries reversed within 3 days."
"List unusual vendor patterns in Q4."

The Agent responds with structured ಫಲಿತಾಂಶಗಳು, not a chat answer.

From ಮಾದರಿ to whole population

Move from ಮಾದರಿ to full-population analysis.

See how ಲೆಡ್ಜರ್ ಪರಿಶೀಲನೆ reshapes the first three days of fieldwork. Bring a GL extract; we'll walk through it ಆದಿಯಿಂದ ಅಂತ್ಯದವರೆಗೆ.

ಉಚಿತ ಪ್ರಯೋಗವನ್ನು ಪ್ರಾರಂಭಿಸಿ →Book a walk-through