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Business Automation & RPA

Custom Python, UiPath, and Power BI builds that decouple finance operations from headcount — bank reconciliation, AP/AR, e-invoicing, and live MIS, engineered as software.

What you get

Outcomes

  • Bank reconciliation across 10,000+ monthly lines completed in minutes, not days
  • Vendor invoices ingested by OCR straight into Tally or Zoho with no manual keying
  • E-invoice and e-way bill generation triggered automatically from sales data via the IRP API
  • Live Power BI dashboards replace 15-day Excel MIS cycles with real-time visibility
  • AR ageing follow-ups run on auto-pilot via email and WhatsApp on 30/60/90 day triggers
  • Operational cost decoupled from transaction volume — scale revenue without scaling clerks

A finance department that scales linearly with transaction volume is a finance department that has not been engineered. We design and deploy custom automation pipelines — Python scripts, UiPath bots, Power Automate flows, and Power BI models — that absorb the high-volume, rules-based work that is currently handled by clerks and spreadsheets. The objective is simple: decouple your operating cost from your invoice count.

This is not consulting that ends in a slide deck. Every engagement ships running code, hosted on infrastructure you own, with documentation, source control, and a monitoring layer. When the bots run overnight and the dashboards refresh from your ERP at 6am, the finance team walks in to a closed yesterday — not a backlog.

What changes

Typical results within the first quarter

Reduction in reconciliation time

92%

10,000-line bank statements matched in minutes via Python.

MIS available

Day 1

Live Power BI replaces the 15-day month-end Excel cycle.

Manual invoice keying

0

OCR + AI extraction posts vendor bills directly into the ERP.

Why it matters

Manual finance vs. an engineered finance function

The legacy back-office

Headcount as the only lever

  • Hire more data-entry clerks each time transaction volume doubles
  • Silent errors in billing, double-payments, and mismatched reconciliations
  • MIS arrives 15–25 days after month-end, when decisions are already stale
  • Spreadsheet logic locked in one analyst's head — knowledge walks out at exit

The PJA-engineered enterprise

Software absorbs the volume

  • Operational cost decoupled from invoice count — scale revenue, not the team
  • Algorithmic accuracy via API integrations and reconciled control totals
  • Live dashboards on phone — cash, AR, AP visible the moment a transaction posts
  • Every bot version-controlled, documented, and runnable by any engineer

Capability map

What we build, by category

Each capability ships as production code on infrastructure you own. We mix Python, UiPath, Power Automate, and native APIs based on what the process actually needs.

OCR vendor bill ingestion

AI and OCR pipelines read PDF and email-attached vendor bills, extract line items and tax breakdowns, and post directly into Tally, Zoho Books, or QuickBooks with full audit trail.

Bank & ledger reconciliation

Python scripts match tens of thousands of bank statement lines against ERP ledgers in seconds. Exception reports flag exact mismatches — no more manual VLOOKUPs or stale pivot tables.

E-invoice & e-way bill APIs

Direct integration with the GSTN IRP and NIC EWB endpoints generates compliant invoices straight from sales data. IRN and QR codes return to the ERP in the same transaction.

Automated dunning

Trigger-based email and WhatsApp workflows follow up on outstanding receivables based on invoice ageing — 30, 60, 90 day escalations with templated tone and CFO-cc on terminal stages.

Power BI dashboards

Models hooked to your live database, not exported spreadsheets. Cash burn, runway, AR ageing, AP commitments, gross margin, and unit economics — refreshed continuously, accessible on phone.

Multi-entity consolidation

Power BI and Python pipelines pull live data from subsidiaries across currencies and jurisdictions into a single executive dashboard with FX rates, eliminations, and inter-company netting handled.

Most finance teams are not slow because they are lazy — they are slow because nobody has written software for the work that software should be doing.

CA Pardeep Jha · Founding Partner

Where automation pays back fastest

Not every process deserves a bot. The economics work when the task is high-volume, rules-based, and currently absorbing a quantifiable number of person-hours each month. The discovery phase ranks every candidate by payback period; these six are the ones that earn their keep on almost every engagement.

Bank reconciliation at scale

Multi-account, multi-currency reconciliation against ERP ledgers. Python parses statement formats from any major Indian and overseas bank, matches on amount and reference fuzzy logic, and emits a clean exception sheet for review.

Bulk e-invoicing & e-way bills

API workflows that generate compliant e-invoices directly from sales data — no human between the order and the IRN. Exception cases route to a queue rather than blocking the batch.

Vendor AP workflows

Email parser pulls vendor bills out of an inbox, OCR extracts line items, AI categorises against the chart of accounts, and the result lands in the ERP awaiting one-click approval.

TDS & GST data preparation

Monthly extraction, validation, and reconciliation of TDS and GST inputs across the ERP. Output is a pre-validated filing pack — not a folder of unreconciled CSVs the consultant has to fix at month-end.

Consolidated board reporting

Power BI models that pull live from multiple subsidiaries, perform inter-company eliminations, apply FX, and present a single executive dashboard refreshed in real time.

Automated dunning on AR

Email and WhatsApp follow-ups triggered by invoice ageing buckets, with escalation tone and CFO copy on terminal stages. Collections cycle compresses by days, not hours.

The technology stack

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

LayerTools we deployWhere it fits
Scripting & orchestrationPython, Node.js, BashReconciliation, file processing, API choreography
RPAUiPath, Power Automate DesktopLegacy systems without APIs, screen-based ERPs
Workflow & integrationPower Automate, Make.com, n8nTrigger-based flows across SaaS tools
OCR & document AIAzure Document Intelligence, AWS Textract, TesseractVendor bills, contracts, KYC documents
Government APIsGSTN IRP, NIC EWB, ITD TRACESE-invoicing, e-way bills, TDS reconciliation
BI & reportingPower BI, MetabaseLive dashboards, board MIS, KPI tracking
ERP integrationTally, Zoho Books, QuickBooks, SAP B1, NetSuiteRead/write APIs, scheduled syncs, TDL bridges
Hosting & monitoringAzure, AWS, on-premise VM, SentryBot orchestration, secrets vault, logging, alerts

Methodology

How we work

  1. Process discovery & ROI mapping

    Two-week walkthrough of the finance back-office. We shadow the controller, log every manual touch-point, and quantify hours-per-month and error-rate per process. Output is a ranked automation backlog with payback periods.

  2. Solution design & tooling decision

    Each candidate process is matched to the right tool — Python script, UiPath bot, Power Automate flow, or native API. We document the as-is and to-be flows, exception handling, and the audit trail before a line of code is written.

  3. Build, test & UAT

    Engineering happens in sprints of two to three weeks. Each automation is tested against a frozen historical dataset, then run in shadow-mode alongside the human process before cutover. UAT sign-off is mandatory.

  4. Deployment & monitoring

    Bots run on a managed orchestrator with centralised logging, exception alerts, and run history. Failures page the on-call engineer within minutes — not when someone notices a missing report.

  5. Handover & continuous improvement

    Source code, runbooks, and Power BI models are handed over with documentation. We retain a maintenance retainer to absorb regulatory changes (GST rate updates, schema revisions, ERP version bumps) without re-engagement.

Scope

What's included

  • Python scripts for bank, vendor, and inter-company reconciliation with exception reports
  • UiPath bots for AP / AR ingestion, ERP posting, and ledger sync
  • OCR pipeline for vendor bills — line-item extraction into Tally, Zoho, or QuickBooks
  • E-invoice and e-way bill automation against the GSTN IRP and NIC EWB APIs
  • Power BI dashboards on cash position, AR ageing, AP commitments, and unit economics
  • Automated dunning workflows on email and WhatsApp with templated escalation tiers
  • Consolidated multi-entity, multi-currency board reporting refreshed in real time
  • TDS and GST data preparation packs ready for filing without manual collation
  • Bot orchestration setup with logging, alerting, and exception dashboards
  • Full source code, run-books, and architecture documentation handed to your team
  • User training for finance staff covering exception handling and monitoring
  • Maintenance retainer covering GST schema changes and ERP version updates

Common questions

Frequently asked

Do we need UiPath or Power Automate licences before engaging?
No. The discovery phase decides the toolset — many processes are better served by lightweight Python on a scheduled VM than by a full RPA licence. Where UiPath, Power Automate, or Make.com is the correct fit, we procure on your behalf or against your existing Microsoft 365 or Azure entitlements. For most SMEs, the licensing footprint ends up under ₹1 lakh per year. We never lock clients into a specific vendor — every build is documented so it can be migrated.
How long does a typical automation take to go live?
A single, well-bounded process — bank reconciliation, vendor bill OCR, dunning workflow — takes four to six weeks from kickoff to production cutover. Larger programmes covering five to eight processes run as a 12 to 16 week engagement with sprint-level releases. We deliberately avoid big-bang deployments; every bot ships independently and earns its keep before the next one starts.
What happens when a process changes — for example, GST schema updates or a new ERP version?
All builds ship with a maintenance contract option. Statutory changes such as GST rate revisions, IRP schema updates, or e-way bill rule changes are absorbed under the retainer at no incremental fee. ERP version upgrades and material business-rule changes are handled at a fixed change-request rate. Critically, every script and bot is documented and version-controlled in your repository — you are never hostage to a single engineer.
Will the bots replace our finance team?
Almost never, and that is the wrong frame. The objective is to remove transactional work — keying invoices, downloading bank statements, building Excel pivots — so the team you already have can move into reconciliation review, vendor management, and analysis. In practice, clients redeploy one or two roles upward into FP&A or controller-track work rather than reducing headcount. The cost saving is in not hiring the next three clerks the growth would have required.
How is this different from buying off-the-shelf software like Zoho or Tally add-ons?
Off-the-shelf tools work for vanilla workflows. Custom RPA earns its keep when the process spans three or more systems, requires judgement-style exception handling, or involves data sources that have no API. Bank reconciliation against a non-standard ERP, OCR for handwritten vendor bills, multi-subsidiary consolidation in mixed currencies — these are the cases where a generic add-on stalls. We use off-the-shelf where it fits and build custom where it does not.
How is data security handled — bots have access to bank statements and our ERP.
Bots run on infrastructure you control: an Azure tenant, AWS account, or on-premise VM under your administration. Credentials are stored in a secrets vault (Azure Key Vault, AWS Secrets Manager, or HashiCorp Vault), never in source code. Read-only access is preferred wherever the workflow permits. Every bot run produces an immutable audit log of what was accessed, what was changed, and by which credential. We sign mutual NDAs and, on request, provide a SOC 2 controls memo for your auditor.

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.