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The Rise of Synthetic WF | 매거진에 참여하세요

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publish_date : 25.08.27

The Rise of Synthetic WF

#Outsourcin #BPO #India #Philippine #TimeZone #Cost #Scalabilit #AI #Synthetic

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AI-Driven Outsourcing: Why AI Threatens Traditional BPO?

Historically, companies outsourced repetitive tasks to reduce costs:

  • - Call centers in India or the Philippines

  • - Accounting & back-office tasks

  • - Customer support and document processing

The model was simple: low-cost human labor handles predictable, repetitive work.

But in 2025, the game has changed.
AI agents,aka Synthetic Workforce are cheaper, faster, and 24/7.

What Is a Synthetic Workforce?

A Synthetic Workforce is AI-powered labor that performs business processes traditionally done by humans:

Human Role

AI Equivalent

Call center agent

AI voice assistant

Data labeling

AI agent automation

Accounting/Tax processing

AI SaaS draft + minimal human review

From a corporate perspective: 10 human employees can be replaced by 100 AI agents running around the clock.

Real-World Examples

  • Call Centers:
    US banks and telecoms adopt AI voice agents, reducing thousands of outsourced contracts in India and the Philippines.

  • Customer Support SaaS:
    Platforms like Zendesk or Intercom embed AI agents that handle most queries before humans intervene.

  • Accounting / Legal Back Office:
    AI handles repetitive tasks such as invoices, contract drafting, and insurance claim review.

  • Startups:
    AI-driven legal document summarization, healthcare claim evaluation, and similar services are emerging.

Why Companies Adopt AI Agents

  • - Cost Savings:

  • Cheaper than offshore human labor

  • - 24/7 Operation:

  • No issues with time zones, breaks, or holidays

  • - Language Agnostic:

  • Multilingual support allows global customer reach

  • - Scalability:

  • Increase from 10 to 1,000 agents in seconds via cloud/server scaling

Traditional BPO vs Synthetic Workforce

Feature

Traditional BPO

Synthetic Workforce

Cost

Human wages (offshore cheaper)

Server/cloud usage

Scalability

Hiring & training required

Instantly scale via instances

Quality

Depends on human skill

Standardized AI agent performance

Language

Specific regional expertise

Multilingual by default

Limitations

Labor laws, turnover, human error

Lacks creativity, struggles with complex situations

Leading AI BPO / Synthetic Workforce Providers

Type

Company/Service

Key Feature

AI Agent Platform

Artisan AI

Automates specific roles like BDR, customer support

AI-Transformed BPO

Acquire Intelligence

AI + RPA integrated BPO

Data Automation Specialist

ARDEM

Focused on document and data automation

Synthetic Labor SaaS

KnowledgeLake

Platform to replace repetitive tasks with AI agents

AI-Augmented Traditional BPO

Teleperformance, Concentrix, TTEC

Enhances existing human agents with AI

AI-Centric Strategic BPO

WNS, TCS

Enterprise-level AI-powered operations

Cost Comparison (2025 Estimates)

  • AI Agents:

  • $0.03–$0.30 per minute → ~$1.80–$18 per hour

  • Traditional BPO:

  • $25–$50/hour (US), $6–$15/hour (offshore)

  • Advantages of AI Agents:

  • - Continuous 24/7 operation

  • - Instant scalability

  • - Consistent performance and standardized quality

Considerations beyond cost:

  • - Transition and integration costs

  • - Handling complex communication

  • - Maintaining creativity and human judgment when needed

Bottom Line:


AI-driven BPO is no longer futuristic, it's reshaping outsourcing.

Companies that once relied on offshore labor are increasingly adopting synthetic workforce solutions for cost, speed, and scalability advantages.