Listed logistics company
- Challenge
- 1,200 monthly vendor invoices processed by four FTEs manually.
- Simplileap solution
- UiPath bots with Document Understanding and SOX audit logs.
- Outcome
- Straight-through processing 38% → 81%; audit finding closed.
// Automate
Data Entry & Back-Office Automation
Data entry and back-office processing are among the highest-volume, most error-prone manual tasks in operations. We automate these processes with RPA and intelligent automation, eliminating errors and freeing operations teams for higher-value work.
// Key benefits
What makes this service valuable
Zero-error data entry
Software bots enter data with 100% accuracy against the source, no transposition errors, missed fields, or copy-paste mistakes that cost hours of reconciliation.
Multi-system data reconciliation
Bots that compare records across systems, flag discrepancies, and either auto-resolve or route exceptions to human review, replacing manual reconciliation cycles.
Volume scaling
RPA bots can process thousands of records per hour, scaling with volume spikes without additional headcount.
// Details
Eliminating manual data processing
Data entry automation is the most common RPA use case, and the most immediately impactful. Processing invoices, updating ERP records, entering data from received documents, and reconciling between systems are all prime candidates.
We combine OCR document extraction (for data from documents) with RPA (for entering that data into systems) to create end-to-end automation for the most common back-office processes.
// What this includes
- Invoice and document data extraction
- ERP and CRM data entry automation
- Cross-system data reconciliation
- Exception identification and routing
- Processing volume and accuracy monitoring
- Audit trail for every automated entry
// Deliverables
What you receive
Every engagement produces clear, documented deliverables. Here is exactly what is included in our data entry & back-office automation service.
- 01Data entry automation implementation
- 02Exception handling and review queue
- 03Accuracy and volume monitoring
- 04Audit trail and reconciliation reporting
- 05Operations runbook
// In practice
How data entry & back-office automation engagements run
UiPath or Python bots read source documents and post to ERP fields with validation rules — duplicate PO numbers, VAT format, credit-limit checks — before submit. OCR confidence below 90% routes to a human queue with side-by-side source PDF. Reconciliation reports compare bot-entered rows against bank/ERP exports nightly; mismatches alert ops.
// Stack & frameworks
Stack we use for this
AI & LLM
- OpenAI / Anthropic APIs
- LangChain pipelines
- RAG architectures
- Confidence thresholds
Integration
- Salesforce / HubSpot
- Zapier / Make
- Custom webhooks
- ERP connectors
Governance
- LangSmith observability
- PII handling
- Audit logs
- Rollback procedures
// Delivery
Simplileap execution framework
01
Architecture mapping
Dependencies, API contracts, compliance constraints, and performance budgets documented before sprint one.
02
Secure sprints
Two-week increments with GitHub access, demo recordings, and QA checkpoints, client visibility at every stage.
03
QA & handover
Automated tests on critical paths, security review, runbooks, and knowledge transfer to your team.
// Proof
Real deployments from Bangalore
// Engagement models
How teams engage us
Currency
| Package | Ideal for | Investment | Includes |
|---|---|---|---|
| Workflow automation | Ops teams | ₹3L – ₹10L |
|
| AI / LLM integration | Product teams | ₹4L – ₹12L |
|
| RPA implementation | Back-office | Scoped per process |
|
// Company and service positioning
Company and Service positioning is reviewed for production delivery standards by Harsha Parthasarathy (Co-Founder, Strategy & Operations 24+ years IT veteran, IBM, Global Delivery, Program Management) and Keshav Sharma (Co-Founder, Engineering and Lead Architect, Full-stack engineering, product delivery and technical standards).
CIN
AAU-8582
Startup India
DIPP83124
Founded
November 2020
Office
Residency Rd, Bengaluru, India
// FAQ
Common questions about data entry & back-office automation
What error rate can I expect from data entry automation?+
Software bots that are correctly implemented make zero transcription errors, 100% accuracy for the data they are given. Overall accuracy depends on upstream data quality (OCR extraction, source data) which we assess before implementation.
Ready to get started with data entry & back-office automation?
Share your requirements with our team. We respond within one business day with a clear plan from discovery to delivery.