Interactive credit assistant · Lender preview

Interrogate the FAME report like a senior analyst would.

AskFAME turns the FAME report — FinAGG's consented triangulation of GST, bank, financials, bureau, fraud and the AI PD — into a chat surface. Ask anything in plain English; get a cited answer in seconds, grounded in the same numbers your committee will see.

6
Triangulated sources
< 8s
Median answer time
100%
Cited to a row
AskFAME · Divyang Marketing
PAN BDFPK4200B
Any red flags between GST returns and bank credits last quarter?
Yes — a 14% mismatch in Q3 FY26. GSTR-1 sales exceed identified bank credits by ₹38.4 L; this gap did not appear in Q1 or Q2.
GSTR-1 sales₹2.74 Cr
Bank credits matched₹2.36 Cr
Gap · Q3₹0.38 Cr · 14%
GSTR-1 Q3 Axis 5821 Rule F-04
Ask FAME a question
One ledger · Six sources

FAME triangulates. AskFAME explains.

The FAME engine reconciles GST sales and purchase against bank inflows and outflows, layers in financial ratios, the credit bureau, fraud and negative checks, and the AI PD captured by your RM. AskFAME reads the resulting structured ledger and answers in plain English — every figure traceable back to the source row.

Inputs · Triangulated
GST Sales & Purchase
GSTR-1 · GSTR-3B · 2A
Bank Statement
Credit · Debit · Bounces
Financial Ratios
DSCR · Leverage · Margin
Credit Bureau
CIBIL · Vintage · DPD
Fraud / Negative
PAN · GST · Watchlists
AI PD Report
RM-led PD · Validated
LIVE
LLM · GROUNDED
AskFAME
Reasons across all sources, cites the exact row it used.
Outputs · Cited
Q&A
Plain-English answers grounded in the FAME ledger.
Flags
Fraud, mismatch and concentration alerts in line.
Gaps
Cash-flow shortfalls vs. asked exposure.
PD
RM PD answers cross-checked against the data.
Memo
One-click insertion into the credit memo.
Use cases · Day one

Two questions your team is already asking.

AskFAME is a chat surface, but it ships with the questions credit teams ask most — fraud early-warning across GST and bank, and the structural cash-flow gap behind the working-capital ask. Both answer in cited form, ready to drop into the memo.

USE CASE · 01
Fraud · Early Warning
Risk · High
Any red flags between GST returns and bank credits last quarter?
Yes — 14% mismatch in Q3 FY26. GSTR-1 sales exceed identified bank credits by ₹38.4 L; gap did not exist in Q1 or Q2.
GSTR-1 sales₹2.74 Cr
Bank credits matched₹2.36 Cr
Gap · Q3₹0.38 Cr · 14%
GSTR-1 Q3 Axis 5821 Rule F-04
USE CASE · 02
Cash Flow · Gap
Buffer · 28 days
Does the bank statement support the ₹2.5 Cr working-capital ask?
Partial — ₹0.7 Cr structural gap. Avg monthly inflow ₹35.1 L vs. operating outflow ₹41.0 L. Existing CC of ₹4.81 Cr already at 69% utilisation.
Avg inflow / mo₹35.1 L
Avg outflow / mo₹41.0 L
Recurring gap₹5.9 L / mo
Bank · 12M DSCR PD · End-use
How it works

From consent to cited answer.

AskFAME sits inside the FAME credit workbench. The data is already triangulated by the time you arrive at a file — the assistant adds a conversation layer on top, with full citation discipline.

Step · 01
FAME runs the consented triangulation
GST, bank, financials, bureau, fraud and the AI PD assemble into one structured ledger — already reconciled, already scored.
Step · 02
Ask in plain English
From the workbench sidebar — "show concentration risk", "explain the May bounce", "summarise the PD". No query language, no clicks through tabs.
Step · 03
Answer cites the source row
Every figure traces to the GSTR, bank line, ratio, bureau record or PD answer it came from. One click drops the cited block into the credit memo.
Integration

Lives inside the workbench.

AskFAME is a sidebar inside the FAME Credit Workbench — the same product your team already uses for triangulation, risk flags, cash flow and the credit memo. No new system to learn, no new vendor to onboard.

FAME Credit Workbench
Native sidebar — same login, same file
Native
AI PD Report
RM-led PD answers cross-checked against data
Built-in
Credit Memo
One-click insertion of cited blocks
Native
LOS & LMS
REST API · scoped to consented borrower
API
Audit log
Every Q&A logged with citations and timestamps
SOC 2
AskFAME · sidebar
CITED · AUDITED
Summarise the PD. Anything that disagrees with the data?
PD largely consistent. Stated end-use (inventory build for FY26 H2) matches purchase pattern in GSTR-2A. One disagreement: stated 12 employees, EPF filings show 7.
PD · Q14 GSTR-2A EPFO
Lender preview · Q2 2026

See AskFAME read your next file.

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