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.
Services
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
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
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
The legacy back-office
The PJA-engineered enterprise
Capability map
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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:
| Layer | Tools we deploy | Where it fits |
|---|---|---|
| Scripting & orchestration | Python, Node.js, Bash | Reconciliation, file processing, API choreography |
| RPA | UiPath, Power Automate Desktop | Legacy systems without APIs, screen-based ERPs |
| Workflow & integration | Power Automate, Make.com, n8n | Trigger-based flows across SaaS tools |
| OCR & document AI | Azure Document Intelligence, AWS Textract, Tesseract | Vendor bills, contracts, KYC documents |
| Government APIs | GSTN IRP, NIC EWB, ITD TRACES | E-invoicing, e-way bills, TDS reconciliation |
| BI & reporting | Power BI, Metabase | Live dashboards, board MIS, KPI tracking |
| ERP integration | Tally, Zoho Books, QuickBooks, SAP B1, NetSuite | Read/write APIs, scheduled syncs, TDL bridges |
| Hosting & monitoring | Azure, AWS, on-premise VM, Sentry | Bot orchestration, secrets vault, logging, alerts |
Methodology
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.
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.
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.
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.
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
Common questions
Explore further
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Learn moreNext step
Book a 30-minute discovery call. We'll scope the engagement, confirm deliverables, and give you a fixed-fee proposal within 48 hours.