Data Entry & Virtual Assistant
Customer Service & BPO

Data Entry & Virtual Assistant as Your Operational Backbone

Accurate, high-speed data entry, document processing, and virtual assistant support, from inbox and calendar management to research — handled by a dedicated back-office team.

Proven Performance Metrics

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Accuracy
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Faster turnaround
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Lower processing cost
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Saved per week

Why Data Entry & VA Support Matters Now

Skilled employees still lose hours every week to data entry, document processing, and inbox triage, work that is essential but rarely the best use of their time. As volume grows, that drag compounds and pulls focus from higher-value work. A dedicated, accurate back-office team absorbs the repetitive load at lower cost and higher speed, so internal teams get their time back for the work only they can do. The hidden cost of in-house admin work is the higher-value work it crowds out.

The Old Way

Without a dedicated back-office team

The Intelegencia Way

With Intelegencia

Skilled staff drained by repetitive data tasks
Core team focused on high-judgment work only
Errors compound across large document volumes
Dual-validation catches errors before they spread
Admin backlog delays downstream decisions
Processed batches delivered on agreed SLA windows
Scaling output means scaling headcount costs
Elastic capacity absorbs volume spikes affordably

How We Run Back-Office Operations

Three tightly connected layers turn raw documents and admin requests into verified, structured outputs. Each layer has defined handoffs, quality gates, and tooling so work flows without bottlenecks and accuracy holds at volume.

Document Intake

Capture and classify every incoming document or task before any processing begins.

  • Multi-channel intake: email, portal, SFTP, and scan
  • Document classification and priority tagging
  • Completeness checks before queue entry
  • Audit-ready receipt logging for each item

Intelligent Processing

Apply OCR, extraction rules, and structured templates to convert source material into usable data.

  • OCR-assisted data extraction from PDFs and images
  • Field-level extraction templates per document type
  • Structured output mapped to your target system schema
  • Exception flagging for low-confidence extractions

Dual-Validation QA

Independent review by a second operator confirms every record before delivery.

  • Operator-one entry, operator-two independent verification
  • Discrepancy resolution with source-document audit trail
  • Field accuracy tracked per batch and per operator
  • Rejection and rework loop before any file is released

Your Operational Backbone

The essential back-office work that keeps a business running: data entry, document handling, inbox and calendar management, and research. A dedicated team follows defined field templates and SLA windows, so recurring tasks like invoice logging or supplier list updates clear your queue same-day without pulling your core staff off higher-judgment work.

High-accuracy data entry
Document digitization & tagging
Calendar & inbox management
Research & list building
Your **Operational Backbone**
**99.9% Accuracy**, Intelligent Processing

99.9% Accuracy, Intelligent Processing

OCR-assisted extraction converts PDFs, scanned forms, and image files into structured data mapped to your target system. A second operator independently verifies every record against the source document before delivery, which is how field-level accuracy holds at 99.9% even as monthly volume climbs into the hundreds of thousands. Capacity scales in agreed increments, so turnaround commitments stay firm during spikes.

Intelligent document processing
Dual-validation QA
Secure data handling
Scalable admin capacity

Driving Measurable Business Outcomes

Explore the specialized capabilities within this service, each engineered to deliver measurable business outcomes at enterprise scale.

Transform raw, fragmented information into structured, high-fidelity data through deep cleansing, de-duplication, and enrichment, so it's accurate, consistent, and ready for business intelligence and AI.

Scope & Sample
Template Build
Pilot Batch
Steady-State Ops

Your Back-Office Onboarding Path

From your first brief to live, verified output in four stages. Each stage has a defined exit criterion so you know exactly where things stand and what comes next before any volume is committed.

  1. 01

    Scope & Sample

    You share document samples and volume estimates; we map field requirements and flag any format edge cases.

  2. 02

    Template Build

    We build extraction templates, QA checklists, and system-mapping rules tailored to your document types.

  3. 03

    Pilot Batch

    A controlled first batch runs end-to-end so accuracy, turnaround, and delivery format are confirmed before scale.

  4. 04

    Steady-State Ops

    Full volume goes live with agreed SLAs, weekly accuracy reports, and a named account lead for escalations.

The Back-Office Delivery Model

Four operating disciplines hold accuracy and throughput steady as volume grows. Governance checkpoints are built in at each phase so quality does not depend on individual effort alone.

Phase 01

Intake

Every task is logged, classified, and queued before processing starts. Nothing enters the pipeline untracked.

Phase 02

Processing

Operators work to defined templates and field rules, reducing interpretation variance across the team.

Phase 03

Validation

A second independent operator reviews each record. Discrepancies are resolved against the source document.

Phase 04

Reporting

Batch accuracy rates, turnaround times, and error categories are shared weekly so you can spot trends early.

Frequently Asked Questions
About Data Entry & Virtual Assistant

Here you will find answers to questions we get asked the most about our offerings.

Two operators work independently on the same record: the first enters the data, the second verifies it against the source document without seeing the first entry. Any field where the two results differ triggers a resolution step with the source material as the tie-breaker. This process consistently holds field-level accuracy at 99.9% or above across standard document types, and we report accuracy by batch so you can track it over time.

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