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Pardeep Jha & Associates Chartered Accountants

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Automated Compliance & Reconciliation

Python-driven reconciliation and month-end close automation that keeps your books perpetually audit-ready — ITC matched, ledgers reconciled, and compliance filed without manual intervention.

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What you get

Outcomes

  • GSTR-2B matched against purchase registers across 50,000+ invoice rows — zero ITC leakage
  • Month-end close compressed from 14 days to 3 via automated ERP reconciliation
  • Razorpay, Stripe, and PhonePe settlement feeds ingested directly into the ledger with no manual keying
  • Books perpetually audit-ready — statutory audit preparation time reduced by over 70%
  • Compliance penalties eliminated — automated filing workflows with zero missed deadlines
  • Year-end reconstruction gone — reconciliation data accumulated daily, not reassembled each March

A finance team that closes the books in 14 days is not slow because it lacks effort. It is slow because each month-end re-executes the same data-matching work from scratch: downloading bank statements, building VLOOKUP matrices against the ERP, running GSTR-2B reconciliation in Excel, collating TDS data from separate portals. We automate that layer entirely — so the work runs on a clock, not a calendar.

The result is a finance function that closes in three to five days, surfaces exceptions in real time, and arrives at every audit and statutory filing with books already verified. No year-end reconstruction. No emergency reconciliation sprint in March.

What changes

Typical results in the first quarter

Month-end close

3 days

Down from a 14-day manual cycle — reconciliation runs automatically on the 1st.

ITC match rate

100%

Purchase register reconciled line-by-line against GSTR-2B, every cycle.

Exception rate

< 2%

After the first quarter, fewer than 2% of transactions require human review.

The core problem

Spreadsheet reconciliation vs. an algorithmic compliance engine

The spreadsheet approach

Workable at 500 invoices. Broken at 50,000.

  • VLOOKUP and SUMIF macros crash or silently miss matches above 5,000 rows
  • Month-end close requires 8 to 14 days of manual data collation and cross-checks
  • GSTR-2B reconciliation done at filing time, not continuously — ITC leakage discovered too late
  • Year-end audit preparation involves reconstructing 12 months of records from memory

Our engine

Algorithmic matching that runs continuously, at any scale

  • Python scripts process 50,000+ bank and invoice lines in minutes, with full exception output
  • Month-end close automated to three to five days — exceptions reviewed, not manually built
  • GSTR-2B matching runs by the 7th of each month — vendor exceptions reach procurement before GSTR-3B is filed
  • Reconciliation data accumulates daily — audit preparation is a report run, not a sprint

Core capabilities

Three layers of the reconciliation engine

ITC accuracy, ledger integrity, and payment matching are interdependent — each feeds the next. We run all three as a single managed workflow.

ITC reconciliation

Python-based matching of your purchase register against GSTR-2B, handling volumes that Excel cannot. Each invoice is categorised: perfect match, vendor-not-filed, GSTIN mismatch, rate error, or ineligible under Section 16(2) or Rule 36(4). Exception reports reach procurement before GSTR-3B is filed — while there is still time to act.

Bank and ledger reconciliation

Multi-account, multi-currency bank statement reconciliation against your ERP ledger. Scripts parse statement formats from HDFC, ICICI, SBI, Kotak, and overseas banks, matching on amount, reference, and date proximity using fuzzy logic. Exception reports flag exact mismatches — no VLOOKUP macros, no silent errors.

Payment gateway ingestion

Direct API integrations with Razorpay, Stripe, and PhonePe pull every settlement transaction into the ledger automatically. No CSV export cycles. No manual keying. Refunds, chargebacks, and fee deductions are categorised on ingestion and posted to the correct ledger account.

High-volume compliance is not an accounting problem. It is a data engineering problem that accountants have been handed without the right tools.

CA Pardeep Jha · Founding Partner

The workflows we automate first

Not every process earns automation on day one. The diagnostic ranks candidates by payback period — hours saved per month times the cost of those hours. These four appear on nearly every engagement because they absorb the most manual effort and carry the highest error-rate risk.

Bank reconciliation at scale

Multi-account reconciliation across current accounts, OD facilities, and fixed-deposit sweeps. Python parses statement formats from all major Indian banks, matches against ERP postings using reference and amount logic, and emits a daily exception sheet. Monthly effort: one 30-minute exception review, not a two-day manual reconciliation.

GSTR-2B purchase register matching

Monthly algorithmic matching of every purchase invoice against the GSTR-2B cut-off snapshot — the document that governs ITC eligibility under Rule 36(4). Vendor exceptions are distributed to procurement on the 8th of each month, before GSTR-3B is filed. ITC reversals are computed automatically where vendor filings remain outstanding at cutover.

Vendor AP and e-invoice workflows

OCR pipeline extracts line items from PDF vendor bills directly into Tally, Zoho Books, or QuickBooks with a full audit trail. E-invoice IRN generation and e-way bill automation run against the GSTN IRP and NIC EWB APIs, triggered from sales data without human intervention between the order and the IRN.

TDS and statutory data preparation

Monthly extraction and reconciliation of TDS data across the ERP — Form 26AS and AIS downloaded and matched against the books, deduction registers validated, and a pre-verified filing pack generated. Output is a reconciled 26Q/27Q data file ready for submission, not a folder of unmatched CSVs.

Technology stack

We are tool-agnostic by intent. The diagnostic phase decides what fits the process — not what fits the consultant’s preference. The current production stack across our active compliance engagements:

LayerTools deployedWhere it fits
Scripting and reconciliationPython (pandas, openpyxl), Node.jsBank matching, purchase register, GSTR-2B, TDS data prep
RPAUiPath, Power Automate DesktopLegacy Tally versions, screen-based portals, TRACES
ERP integrationTally TDL / ODBC, Zoho Books API, QuickBooks API, Xero APIRead and write across accounting systems
Government APIsGSTN IRP, NIC EWB, ITD TRACESE-invoice, e-way bill, TDS reconciliation
Payment APIsRazorpay, Stripe, PhonePeSettlement ingestion into ERP ledgers
ReportingPower BI, MetabaseException dashboards, reconciliation status, audit-readiness
InfrastructureAzure, AWS, on-premise VMBot orchestration, secrets vault, monitoring, logging

Methodology

How we work

  1. Accounting systems diagnostic

    Two-week audit of your ERP (Tally, Zoho Books, or QuickBooks), bank feeds, and compliance workflow. Every manual data-entry point is mapped, monthly hours quantified, and the three highest-leverage automation targets ranked by payback period.

  2. Data pipeline design

    Each reconciliation workflow is designed end-to-end — data sources, matching logic, exception handling, and audit trail. Python scripts and API integrations are scoped in full before any code is written.

  3. Build and UAT

    Scripts and bots are built against 12 months of historical data, then run in shadow mode alongside the existing manual process. Cutover to production happens only after full UAT sign-off by your team.

  4. Monthly compliance cycle

    Reconciliation runs on a defined cadence: bank reconciliation daily, purchase register against GSTR-2B by the 7th, month-end close triggered on the 1st. Exception reports route to the team; clean data posts automatically.

  5. Monitoring and regulatory maintenance

    All scripts run on monitored infrastructure with centralised logging and exception alerts. Regulatory changes — GST schema revisions, TDS rate updates, IRP mandate expansions — are absorbed under the maintenance retainer without re-engagement.

Scope

What's included

  • Python scripts for multi-bank statement reconciliation against ERP ledgers
  • Automated GSTR-2B vs. purchase register matching with exception reports to procurement
  • API integrations for Razorpay, Stripe, and PhonePe settlement feeds into Tally or Zoho Books
  • Month-end close automation — bank, vendor, and inter-company reconciliation on a defined schedule
  • ITC claim register maintained per Section 16(2) eligibility conditions with automated checks
  • Vendor exception report — non-filers, GSTIN mismatches, and rate errors surfaced before GSTR-3B
  • Automated TDS data extraction and Form 26AS / AIS reconciliation against books
  • Audit-ready trial balance and ledger reports generated automatically at month-end
  • Power BI exception dashboard — real-time reconciliation status and open-item visibility
  • Bot orchestration with centralised logging, run-history, and failure alerts
  • Source code, runbooks, and architecture documentation handed over to your team
  • Maintenance retainer covering GST schema changes, IRP mandate updates, and ERP version bumps

Common questions

Frequently asked

What is the difference between automated compliance and just faster filing?
Filing is the output, not the work. Most compliance failures originate upstream: unmatched ITC, unreconciled bank statements, or a vendor who has not filed their return. We automate the data-matching layer — the reconciliation work that normally consumes 80% of a finance team's month — so that by the time a filing is due, the underlying data is already verified, matched, and postable. Filing on time is the natural result of books that close on time.
Our transaction volume exceeds 20,000 invoices per month. Can your scripts handle that?
Scale is exactly why we use Python and direct API integrations instead of spreadsheets. The reconciliation scripts process tens of thousands of rows in minutes, not hours. For Razorpay or Stripe settlements, the API integration ingests every transaction directly into the ledger — no CSV export cycles, no VLOOKUP macros. The process is identical at 200 invoices as it is at 200,000; only the run time scales, not the manual effort.
We are on TallyPrime. Does it integrate with your automation stack?
Yes. TallyPrime is the most common ERP in our stack. We use TDL-based integration scripts and ODBC connections to read and write data without disrupting the existing workflow. For Zoho Books, QuickBooks, and Xero, we use native REST APIs. The reconciliation logic is ERP-agnostic at the data layer; the integration layer is customised per client and documented in full.
How quickly will we see results after the engagement starts?
The diagnostic finishes in two weeks. The first automated reconciliation cycle typically runs in week four — initially in shadow mode alongside the existing manual process. Full cutover happens after UAT sign-off, usually in week six to eight. Month-end close compression from the legacy timeline to three to five days is visible in the first fully automated month.
What happens when the script finds a transaction it cannot categorise?
Every unmatched or ambiguously-matched item routes to an exception report — a structured queue showing the raw transaction, the closest candidate match, and the gap. The finance team reviews exceptions only; clean matches post automatically. In practice, exception rates fall below 2% of total transaction volume within the first quarter as the matching rules are refined against actual data patterns.
Does this overlap with your GST Compliance and Business Automation services?
By design, it sits between them. GST Compliance is the filing layer — GSTR-1, GSTR-3B, notices, and annual returns. Business Automation RPA is the engineering layer — building bespoke bots and dashboards. Automated Compliance is the accounting backbone layer: the reconciliation engine that processes raw data continuously so the GST filing and the audit both draw from a single, verified source of truth.

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Next step

Ready to begin?

Book a 30-minute discovery call. We'll scope the engagement, confirm deliverables, and give you a fixed-fee proposal within 48 hours.

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