The agentic layer for loan analysis

From first statement to final repayment.

Fiscus reads every bank statement, triangulates it against GST and bureau, builds the complete underwriting picture, then keeps watching through the life of the loan and into collections. One layer, the whole lifecycle.

Built for credit teams at banks and NBFCs · Deployed in your environment

Meridian Traders Pvt Ltd
Working capital · ₹35L requested · 11 accounts · 24 months
742Cash flow
score
Net monthly cash flow · trailing 12m
Net inflow, ₹L● Apr dip: one time vendor settlement, recovered in 6 weeks
Underwriting picture
DSCR1.82pg 6
GST and banking turnover1.6% varrecon
Bureau and banking obligations6 of 7 matchedtl map
Counterparty concentration38%pg 3
Statement integrityVerified

Designed for leading financial institutions in India

  • IndusInd Bank logo
  • Utkarsh Small Finance Bank logo
  • Indel Money logo
  • Hedge Finance logo
1Analyse · before sanction

Everything the loan decision depends on, read at source fidelity.

Scanned, native or screenshot. Any bank, any format. Fiscus turns raw statements into the complete underwriting picture. Every figure traceable back to the page, line and confidence it came from.

Statement intelligence

Granular extraction and categorisation tuned for Indian current accounts, with a tampering verdict on every document before a single number reaches your credit team.

  • 99%+ extraction accuracy across scanned and native statements, multi bank and multi format. Every field carries page, position and confidence.
  • Noise removed before it distorts: duplicates, reversals and inter account transfers filtered out.
  • A tampering verdict, not a guess: font anomalies, balance trail breaks and edited fields flagged with the exact page, before analysis begins.
Document intake · 3 of 11 accounts
ICICI · Current A/C ··4471
Native PDF · 24 months · 412 transactions · conf 0.998
Verified
HDFC · Current A/C ··9023
Scanned · 18 months · 296 transactions · conf 0.991
Verified
Kotak · OD A/C ··2218
Scanned · 24 months · balance trail breaks pg 12
Font anomaly · pg 12
Categorisation
896 transactions classified

Underwriting analysis

From clean data to a defensible picture: cash flow strength, obligation coverage, working capital health, banking conduct and concentration risk, assembled the way your best analyst would, in minutes instead of days.

  • Cash flow scoring calibrated on repayment outcomes: inflow quality, DSCR and conduct, for borrowers bureau scores miss.
  • Obligation mapping across every lender visible in the banking, including ones not yet on the bureau.
  • Working capital cycle, measured: days from outflow to collection, with vendor and buyer concentration read from the actual money movement.
  • Month on month trend analysis as the primary lens. Seasonality fitted, one offs isolated.
Risk factors · Meridian Traders
Inflow stability
91% revenue linked credits
Strong
Obligation coverage
DSCR 1.82 · 6 lenders mapped
Comfortable
Working capital cycle
47 days outflow to collection
Stable
New unmapped inflow
₹12L · Feb 2026 · likely unsecured BL
Confirm terms
Counterparty concentration
Top buyer is 38% of inflows
Covenant
Triangulate · one borrower, three sources

Banking is the truth. GST and bureau are the witnesses.

A statement tells you what moved. Fiscus cross examines it: declared GST turnover against banked revenue, bureau tradelines against actual EMI outflows. The picture your committee sees has already survived its own audit.

Bank statements
11 accounts · 24m · 896 txns
GST returns
GSTR-1 + 3B · 24m filed
Bureau report
7 tradelines · normalised
Reconciled view · Meridian Traders
Banked revenue, 24m₹6.1Cr
GST declared turnover₹6.2Cr
Variance1.6%
GSTR-3B on time22 / 24 months
Tradelines vs EMI outflows6 / 7 matched
Circular trading patternsNone detected

GST and banking reconciliation

Declared turnover matched against revenue credits actually landing in the accounts. The fastest honesty check in Indian credit.

  • Turnover variance between GSTR filings and banked inflows, computed and explained.
  • Filing cadence as conduct: on time GSTR-3B behaviour read as a discipline signal.
  • Anomalies surfaced: circular trading, round tripping and ghost vendor patterns flagged before sanction.

Bureau and banking cross check

Tradelines reconciled against the EMI outflows visible in the banking, so leverage hides in neither direction.

  • Loans the bureau has not caught: fresh disbursals visible in the banking weeks before they report.
  • Tradelines with no matching outflow: closed, restructured or disputed lines flagged for the officer.
  • Velocity signals: enquiry stacking and balance transfer chains that precede stress.

Beyond the statement

The same reading engine extends across the full borrower document trail. Every field with page, position and confidence.

  • Tax and financials: ITR and GST filings read as structured fields, not text dumps.
  • Loan operations: sanction letters and cheque images parsed into the same evidence trail.
  • One provenance standard: hover any figure in the report, jump to the exact source line.
2Decide · with evidence

Ask the analysis anything. Get answers with receipts.

Fiscus Copilot reasons over the full borrower footprint: banking, GST and bureau, in plain language. Every claim carries a reference to the exact statement page, so a credit committee can audit any answer in seconds. Try a question:

Credit manager
What is driving the cash flow score?
Fiscus Copilot
Three positives, one watch item.

Inflow quality is strong: 91% of credits are revenue linked, growing 3.8% month on month on a 3 month roll pg 2–6.

Coverage is comfortable: DSCR of 1.82 against ₹3.2L/mo across 6 mapped lenders obligation map.

Conduct is clean: one bounce in 24 months, recovered within 4 days pg 7. The watch item: counterparty concentration at 38% pg 3.
Grounded in 11 accounts · 24 months GST · 7 tradelines · 896 transactions for this borrowerSee it on your own files →
3Monitor · after disbursal

The analysis does not stop at sanction.

Fiscus keeps reading borrower banking through the life of the loan, surfacing stress signals months before they become a missed EMI, ranked so your team acts on what matters first.

Loan monitoring

Continuous surveillance on every live account: balance decay, inflow deterioration, new obligations appearing, conduct slipping. Early warning signals routed to the right team with the evidence attached.

  • Stress detected early: inflow and balance deterioration flagged on month on month movement, not after default.
  • New leverage spotted: fresh lender inflows and EMI outflows that change borrower coverage.
  • Ranked, not dumped: alerts prioritised by exposure and severity, pushed into your existing workflow.
Early warning feed · portfolio of 8,412
EMI bounce, first in account history
Arjun Textiles · exposure ₹48L · balance down 41% MoM
New lender EMI detected
Vega Pharma · ₹1.1L/mo outflow began May · DSCR now 1.21
Inflow deterioration, 3 consecutive months
Kores Trading · revenue credits down 22% on 3 month roll
Limit utilisation normalised
Meridian Traders · OD usage back under 60% · watch closed
4Collect · when it slips

Collections monitoring

When an account does slip, the same banking intelligence tells your collections team who can pay, who is deteriorating, and where to spend effort, instead of working the bucket list top to bottom.

  • Capacity to pay signals: live inflows show which delinquent borrowers actually have money moving.
  • Roll rate watch: accounts trending toward the next DPD bucket flagged before they cross.
  • Effort where it pays: recovery queues ranked by exposure and likelihood, refreshed daily.
Collections board · by DPD bucket
1 to 30214
Arjun Textiles₹48L · inflows active, call today
Nila Foods₹12L · salary day pattern, retry 1st
31 to 6096
Vega Pharma₹61L · rolling risk ▲ high
61 to 9041
Kores Trading₹22L · inflows drying, escalate
90+18
Omni Steel₹35L · legal track
Under the hood

Six stages, every document, every time.

01

Extraction

Every bank format, scanned or native, read at source fidelity. Each field with page, position and confidence.

02

Verification

A tampering verdict per document: font anomalies, balance trail breaks and edited fields caught before analysis.

03

Filtration and classification

Duplicates, reversals and transfer noise removed. Granular categorisation tuned to business current accounts.

04

Triangulation

Banking cross examined against GST turnover and bureau tradelines. Variance computed, gaps flagged.

05

Analysis

Scoring, obligation mapping, working capital cycle, conduct and trend analysis. Structured and traceable.

06

Surface

Dashboards for analysts, APIs for your LOS, Copilot for everyone else.

Why Fiscus

Fundamentally different, not incrementally better.

Built from first principles for credit teams: accuracy, speed and cost that change what is economically possible to analyse.

99%+
Extraction accuracy
tailored for current accounts
Minutes
Per full analysis
multi bank, multi source, 24 months deep
Lower
Cost than traditional analysis
at scale, per statement
Data residency in IndiaDeploys in your environmentEvery figure traceable to sourceDPDP aligned handling

FAQ

Common questions

Something we have not covered? Write to hello@fiscus.ai.

Put Fiscus on your own files.

Bring a set of statements your team has already analysed. We will run them side by side and measure accuracy, depth and time on your own cases.