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Xcelet

Product · free analyser available

Turn bank statements into underwriting signals.

Convert statement data into structured, lending-oriented insight — inflows, balances, obligations and flags — so credit assessment is comparable between analysts and applications.

Statement analysisIllustrative

Monthly credits

Trend view

Average balance

Summary

EMI obligations

Detected

Risk flags

Review

Monthly credit pattern across the statement period.

Problem

Manual statement review is slow and inconsistent.

Two analysts reading the same statement often reach different conclusions. Without structure, income stability, obligations and irregular activity are easy to miss under volume.

Lifecycle

Where statement intelligence sits in the lifecycle.

Acquire, verify, assess, decide, disburse, service and collect run against one application record. The highlighted stages are the ones this product operates in.

Where statement intelligence sits in the lifecyclein scope
  1. 01

    Acquire

  2. 02

    Verify

  3. 03

    Assess

    Statement parsing

  4. 04

    Decide

  5. 05

    Disburse

  6. 06

    Service

  7. 07

    Collect

Capabilities

What the analysis produces.

01

Inflow analysis

Structure credits over the statement period to review income pattern and stability.

02

Balance behaviour

Summarise average and month-end balances across the period.

03

Obligation detection

Identify recurring debit patterns that indicate existing EMI commitments.

04

Risk flags

Surface activity that warrants manual review before a decision.

05

Period summary

Present a consistent view for comparison across applications.

06

Decision handoff

Pass structured output into eligibility and underwriting rules.

Workflow

From upload to decision input.

  1. Step 01

    Secure upload

    The statement enters through the dedicated analyser flow.

  2. Step 02

    Parsing

    Transactions are read and structured into a consistent model.

  3. Step 03

    Categorisation

    Credits, debits and recurring obligations are classified.

  4. Step 04

    Signals

    Income, balance and obligation indicators are derived.

  5. Step 05

    Review

    Analysts review flags and the summarised period view.

  6. Step 06

    Decisioning

    Output feeds eligibility and underwriting rules.

Use cases

Personal, business and partner-sourced underwriting.

Used by credit teams during assessment, by LSPs during pre-underwriting, and by distribution teams checking case quality before lender submission.

Integration

What connects to it.

  • Account Aggregator and statement data sources
  • Xcelet Decision & Rule Engine
  • Lending Platform underwriting queues
  • Partner and LSP journeys

Next step

Try the analyser, then talk about volume.

Run a statement through the free analyser to see the output structure, then discuss how it fits your underwriting process.

Not ready for a conversation? Try the free Bank Statement Analyser.