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Using offshore-based BPO = Living under a rock

Updated: Apr 8

The rapid evolution of AI agents presents a transformative opportunity to reimagine business operations, challenging the traditional reliance on offshore Business Process Outsourcing (BPO). Continuing to depend on it while ignoring advancements in AI is akin to “living under a rock” — clinging to outdated models despite better alternatives. 



 

Offshore BPO Workflows 


As per the Annual Strategic Review report released by NASSCOM (National Association of Software and Service Companies), which is a prominent Indian trade association and advocacy group representing the country's Information Technology (IT) and Business Process Management (BPM) industries, on February 24, 2025, the India BPM reached $54.6 billion.  

Service Category 

Examples 

Customer Interaction Services (CIS) 

Call centers, email support, and chat-based customer interaction service. 

Finance and Accounting (F&A) 

Payroll processing, accounts payable/receivable, and financial reporting. 

Knowledge Services 

Analytics and market research 

Vertical-Specific BPO Services 

Back-Office Processing like Data entry, claims processing 

HR Outsourcing 

Payroll Processing, Recruitment and Talent Acquisition, Employee Training and Development 

Procurement and Logistics 

Managing vendor relationships, purchase orders, and supply chain logistics for companies across industries 

Other Horizontal Services 

Facility Management 

As per the NASSCOM-McKinsey Report (2021), 33% of BPO jobs are related to Customer Interaction Services. 


 

Offshore BPO is "Living Under a Rock" 


Traditional offshore BPO has the disadvantages below, which can now be quickly addressed with the advancement in AI agents: 


  1. Operational challenges: Persistent issues include time-zone delays (avg. 12-hour lag for offshore-onsite teams) and language barriers. Cultural mismatches in service delivery, such as differences in politeness norms during customer interactions. 


  2. Risk complacency: Tolerating data security vulnerabilities inherent in cross-border data transfers. As per Netwrix Data Risk & Security Report 2020 (as cited in a CISO MAG article), 42% of organizations subject to the CCPA fail to discover and classify personal data at the point of creation. These organizations will face GDPR/CCPA violations in offshore data handling. 


  3. Quality Control: Higher error rates and inconsistent processing in complex processes, such as insurance claims, compared to AI alternatives. 


  4. Contractual Inefficiencies: The hidden costs (e.g., attrition, constant training, oversight) erode 20-30% of projected savings. 


  5. Cost Uncertainty: The current perceived cost benefits of using offshore-based teams can disappear due to the tariffs. 


 

AI Agent Solutions: Technology for replacing/diminishing various BPO services 


The AI Agent technology has made significant progress recently, and specific technologies are now available that can completely replace current offshore BPO teams with AI Agents or with smaller onsite teams, along with AI agents.



This section gives details of what AI agents could be used to replace the specific BPO services that you might be using.


BPO Service Category: Customer Interaction Services (CIS)

Examples of Services

Call centers, email/chat support, social media management

AI Agent Type

Conversational AI

Capabilities of AI Agents

  • 24/7 multilingual support

  • Real-time sentiment analysis

  • Automated ticket routing

Technology Examples for Implementing AI Agents

  • Zendesk AI- Convin Agent Assist

  • IBM watsonx Assistant

Example Implementation

  • H&M’s chatbot for instant support

  • Camping World’s virtual assistant


BPO Service Category: Finance and Accounting (F&A)

Examples of Services

Payroll processing, accounts payable/receivable, tax compliance

AI Agent Type

Financial Process Automation Agents

Capabilities of AI Agents

  • Automated invoice validation

  • Real-time reconciliation

  • Fraud detection

Technology Examples for Implementing AI Agents

  • ZBrain AI for Finance

  • IBM Watson Risk Analytics

Example Implementation

ZBrain automating accounts payable and tax compliance


BPO Service Category: Knowledge Services

Examples of Services

Market research, analytics, financial modeling

AI Agent Type

Predictive Analytics Agents

Capabilities of AI Agents

  • Real-time trend forecasting

  • Actionable insights from unstructured data

  • Report automation

Technology Examples for Implementing AI Agents

  • Tableau AI Extensions

  • PathAI for healthcare diagnostics and accelerating drug development

Example Implementation

  • Roche has integrated PathAI’s algorithms into drug development workflows for cancer research


BPO Service Category: Vertical-Specific BPO Services

Examples of Services

Healthcare claims processing, Insurance underwriting

AI Agent Type

Vertical AI Agents

Capabilities of AI Agents

  • Industry-specific compliance checks

  • Claims automation

  • Specialized decision-making

Technology Examples for Implementing AI Agents

  • Juniper AI for healthcare claims

Example Implementation

  • Juniper reduced claim denials by 80% for Intercare, a multi-state ABA provider.


BPO Service Category: HR Outsourcing

Examples of Services

Recruitment, onboarding, payroll management

AI Agent Type

HR Automation Agents

Capabilities of AI Agents

  • Resume screening

  • Candidate sourcing

  • Employee engagement analytics

Technology Examples for Implementing AI Agents

  • LinkedIn Recruiter AI

  • ZBrain AI agents for HR

Example Implementation

  • LinkedIn Recruiter filtering candidates based on skills

  • Multiple use cases from ZBrain for HR


BPO Service Category: Procurement and Logistics

Examples of Services

Supplier communication, freight RFQ management, inventory tracking

AI Agent Type

Procurement Optimization Agents

Capabilities of AI Agents

  • Automated RFQ management

  • Invoice reconciliation

Technology Examples for Implementing AI Agents

  • Pi Freight Procurement Agent

  • GEP Autonomous Procurement Agents

Example Implementation

  • Pi managing freight RFQs and carrier negotiations

  • GEP optimizing supplier scorecards


BPO Service Category: Other Horizontal Services

Examples of Services

Data entry, document classification, workflow automation

AI Agent Type

Horizontal AI Agents

Capabilities of AI Agents

  • Automates repetitive tasks

  • Scales across industries

  • Predictive analytics

Technology Examples for Implementing AI Agents

  • Azure OpenAI for general workflows

  • Salesforce Einstein Analytics

Example Implementation

  • Azure OpenAI automating content generation tasks

  • Salesforce Einstein to improve sales forecasting accuracy


 

The most important question - "Can I use the AI agents to replace my offshore BPO?"


The availability of the right data is the key to the success of these AI agents. This data varies significantly by domain. Below are examples of data requirements for different BPO service categories:

BPO Service Category

Examples of Data Requirements

Customer Interaction Services (CIS)

  • Historical chat logs/transcripts

  • Call recordings

  • Product/service knowledge bases

  • Customer feedback

Finance & Accounting (F&A)

  • Invoice templates/records

  • Transactional data

  • Compliance guidelines

  • ERP/CRM data

Knowledge Services

  • Unstructured text

  • Structured databases

  • Research publications

  • User interaction logs

Vertical-Specific BPO Services

  • Industry-specific records: Medical claims, insurance policies, or legal contracts.

  • Regulatory documents

  • IoT/sensor data for some of the sectors

HR Outsourcing

  • Resumes/CVs

  • Employee performance metrics

  • Compliance manuals

Procurement & Logistics

  • Supplier databases

  • Inventory records

  • RFQ/RFP templates

Other Horizontal Services

  • Structured forms

  • Workflow metadata

  • Cross-industry datasets

As long as you have the data, you can train AI agents to outperform offshore BPO models.


 

Conclusion


Adopting AI agents enables companies to:


  1. Eliminate Offshore Limitations: Resolve 78% of customer inquiries autonomously while reducing compliance risks


  2. Enhance Operational Metrics: Achieve higher accuracy (e.g., 99.8% invoice validation), speed (30–40% faster resolutions), and cost (60–80% savings)


  3. Strategic Repositioning: Leverage "reshoring" narratives for positive PR while maintaining cost efficiency


This transition represents not just technological progress, but a fundamental shift in global service delivery paradigms—lifting businesses out of their metaphorical "rock" into an AI-optimized future.

 

Are you interested in addressing the challenges of offshore BPO using AI agents? Talk to us.

 
 
 

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