See everything your paperwork is trying to hide
AI-Mond reads bank statements, invoices and receipts at investigator depth. It pulls out every entity and amount, links them across documents, and flags the patterns worth a second look.
Reads any bank’s statement
Public sector, private, small finance, payments, regional rural and co-operative banks, including ones that have since merged.
Including State Bank of India, Punjab National Bank, Canara Bank, Union Bank of India, HDFC Bank, Bank of Baroda, ICICI Bank, Bank of India, Axis Bank, Indian Bank, Central Bank of India, Indian Overseas Bank, IDBI Bank, UCO Bank, Yes Bank, Kotak Mahindra Bank, IndusInd Bank, Bandhan Bank, AU Small Finance Bank, Federal Bank, Jammu and Kashmir Bank, IDFC FIRST Bank, Utkarsh Small Finance Bank, Equitas Small Finance Bank, Karur Vysya Bank, CSB Bank, Karnataka Bank, City Union Bank, ESAF Small Finance Bank, Ujjivan Small Finance Bank, Jana Small Finance Bank, RBL Bank, Tamilnad Mercantile Bank, DBS Bank India, SVC Co-operative Bank, DCB Bank, Unity Small Finance Bank, Dhanlaxmi Bank, slice Small Finance Bank, Capital Small Finance Bank, Nainital Bank.
Reads Bank statements, Credit card statements, Invoices and Receipts, from Native PDFs, Scanned PDFs, Phone photos, Excel or CSV.
Every row checks itself
Each balance should equal the one before it, plus credits, minus debits. AI-Mond checks every row, and anything that doesn’t add up goes to review.
HDFC BankCurrent / OD ••551215 pages
| Date | Amount | Balance | Check |
|---|---|---|---|
| 01 Apr | +2,40,000 | 4,54,500 | ✓ |
| 01 Apr | −1,85,000 | 2,69,500 | ✓ |
| 02 Apr | −38,420 | 2,31,080 | ✓ |
| 03 Apr | −40,000 | 2,00,080 | ✕ |
| 04 Apr | +75,000 | 2,66,080 | ✓ |
5 rows · 4 proven · 1 sent to Studio
- rows read correctly, scans included
- ~99%
- rows on native PDFs
- 100%
- account details read
- 100%
- pages processed
- ~1 lakh
- Chain breaks
- Impossible dates
- Missing dates or amounts
- Phantom rows
- Polarity conflicts
Follow the money between them
Put a family’s or a firm’s statements in one case. AI-Mond works out who owns what, how they’re linked, and which money only moved between them.
Every flag shows its working
Why it fired, what it was compared with, and where it sits on the statement. AI-Mond points it out; you make the call, for an audit file or a lending decision.
- Statement integrityHas the statement been altered?Balances that don’t follow from the row before, number styles that change partway through, page counts that don’t match the file.
- Money movementWhere did the money really go?Money that comes back through linked accounts, passes straight through, or is out of line with an account’s own history.
- IncomeIs the income real and regular?Salary that stops, arrives late or changes, and large withdrawals right after it lands.
- Loans & obligationsAre repayments on track?EMIs that are missed or rise sharply, and payments that bounce back.
- Cash positionHow tight is the cash?Long stretches of low balance, and reliance on cash deposits rather than income.
- Your own rulesHave a check of your own?Write it as a sentence, preview it on your data, then save it.
Ask the case anything
Plain-English questions across every statement in the case. Answers show the rows they came from, and notes come out ready for the file or the credit memo.
How much has Rahul drawn from Fernandes Traders since April?
- Reading HDFC ••5512 · 4 statements
- Matching transfers to Rahul’s accounts
₹9,60,000 across 22 transfers, April to September 2025. The most was in September (₹2,10,000).
Is Priya’s salary regular?
- Reading SBI ••2209 · 12 months
- Finding recurring credits
Mostly. ₹86,500 from Kestrel Softworks Pvt Ltd arrived on the 1st in 11 of the last 12 months. Nothing came in August 2025.
Write a note on the 26 Sep round trip for the file.
- Tracing ₹5,00,000 across the case
- Drafting a note
On 26 Sep, ₹5,00,000 left Fernandes Traders’ HDFC ••5512 for Priya’s SBI ••2209. The same amount came back on 30 Sep, the day the HDFC statement ends. It raises both accounts’ turnover for the period and should be treated as related-party movement, not income.
- Summarise this borrower in 5 bullets
- List cash deposits over ₹50,000
- Which counterparties appear on both sides?
- Draft a credit memo for the home loan
Built for the people who sign off
Different jobs, the same evidence: every number traced to the statement it came from.
- Chartered accountantsDoes the bank turnover match the books?Read a client’s statements from every bank in minutes, then check turnover, cash deposits and tax payments for a tax audit or a loan certificate.Excel working papers, every figure tied to its row
- Audit firmsDid every engagement run the same checks?Write the firm’s own checks as rules, run them on every case, and keep a log of who changed what.One method across teams, a log per case
- Forensic firmsWas this statement edited, and where did the money go?Check every page for signs of tampering, then follow money across a family’s or a company’s accounts.A note for the file, every transfer cited
- Lenders & credit teamsIs the income real, and can they repay?See salary regularity, existing EMIs and reliance on cash from the applicant’s own statements.Evidence for the credit memo, not a score
Enterprise-grade security for your data.
Statements hold your clients’ most private numbers. Choose where AI‑Mond runs and where the data lives.
- AI‑Mond cloudWe run it for you, in the region you choose.
- Your VPCIt runs inside your own cloud account, so the data never leaves it.
- On-premiseIt runs on your own servers, for teams that can’t use the cloud.
- Single sign-onSign in through your company’s identity provider.
- User access and rolesDecide who can view, edit and export a case.
- Audit logsEvery sign-in, edit and export is recorded.
Questions, answered
What CAs, audit firms and forensic teams ask us before they start.
01Which banks can AI-Mond read?
Every bank in India, including banks that have since merged or been renamed, so older statements work too. All 1,300+ are listed in the bank directory.
Search the bank directory02What documents and file types does it take?
Four kinds of document, in whichever file you were sent.
03How accurate is it?
Every row is checked against the balance printed beside it, so a row that doesn’t add up goes to review instead of into your numbers.
- 99%+
- rows read correctly, scans included
- 100%
- rows on native PDFs
- ~1 lakh
- pages processed
04Can it tell if a statement has been edited?
Yes. It runs 23 checks for signs of editing and unusual activity, and every flag shows its working. AI-Mond points it out; you make the call.
- Balance doesn’t follow from the row before
- Number style changes partway through
- Watermarks or spliced statement periods
- +20 more checks
05Can it follow money across accounts?
Yes. Put a family’s or a business’s statements in one case and AI-Mond links the people, businesses and accounts, then follows the money between them, including transfers that leave and come back.
06Where is our data kept?
Where you choose. We can run AI-Mond for you in the region you pick, or it can run inside your own cloud account or on your own servers.
07Who on our team can see a case?
People sign in through your company’s identity provider. Roles decide who can view, edit and export each case, and every sign-in, edit and export is recorded.
08How much does it cost?
There are plans for small practices and for larger firms. Pricing is on request: tell us about your caseload and we’ll suggest the right one.
Book a demo09Can we try it first?
Yes. Upload a sample statement and see the rows, the balance checks and the flags it raises, before you talk to anyone.
Try a sample statement