AI and Agentic Systems in BPM and GCCs:India’s New Edge – Worxpertise

AI and Agentic Systems in BPM and GCCs:India’s New Edge

Imagine walking into a Global Capability Centre (GCC) in Bengaluru or Hyderabad. You see AI systems handle entire workflows on their own. They predict needs and make decisions fast. This is not the future. It is happening now in India's BPM sector.

India leads the world in BPM. We have over 1,700 GCCs. They employ nearly 2 million people. They add more than $64 billion to the economy each year. Now, agentic AI is changing everything.

Gartner predicts that 40% of enterprise applications will embed task-specific AI agents by 2026, turning assistants into proactive workflow partners. This was published by Forbes in the article "Agentic AI Takes Over — 11 Shocking 2026 Predictions".

What Is Agentic AI?

Agentic AI goes beyond simple tools. It acts like a smart teammate. It sees context. It plans steps. It works across systems. It learns from results. Generative AI creates text or insights. Agentic AI does tasks end-to-end with little human help.

Old BPM used rules and RPA bots for tasks like data entry. These worked well but failed on exceptions. Agentic systems fix that. They adapt and handle complex flows.

How Agentic AI Changes Workflows

Agentic AI breaks big processes into goals. It pulls data from CRM, ERP, and other tools. It handles exceptions alone for routine cases.

In finance, an agent manages the full procure-to-pay cycle. It scans invoices. It matches them to contracts. It spots issues with predictive checks. It routes problems smartly. Many pilots cut cycle times by 40-60%. Errors drop a lot.

Companies like Genpact and Infosys use these agents in India. They turn monthly reports into live dashboards.

Practical Uses in Customer Experience

Customer experience sees big wins. Old chatbots gave answers. Now, agentic agents predict needs.

In a telecom GCC in Pune, an agent watches usage. It spots churn risks from calls and apps. It sends personalised offers. It adjusts plans or books visits. All this stays compliant.

Surveys show 65% of GCCs use GenAI (and agentic layers) most in customer service. This area leads adoption. Many firms see 80% productivity gains. Customers get fast, personal service around the clock.

In banking and retail, agents handle loans or orders. They check credit. They run risk models. They create offers. They cut human steps by up to 70%. Satisfaction scores rise.

Practical Uses in Analytics

Analytics turns data into action. Agents crawl data sources. They run models. They find odd patterns. They suggest fixes.

In a Chennai manufacturing GCC, agents track global supply chains. They forecast issues with live data. They adjust buying plans alone.

Finance teams use agents for forecasts, fraud checks, and compliance. 53% of GCCs deploy AI here. Agents learn from outcomes. This creates better decisions over time.

Why GCCs Lead in Advanced Tech

India's GCCs are hubs for new tech. We have strong talent in AI, data science, and business knowledge.

Over 70% of GCCs focus on GenAI. Half run live cases. Many set up AI labs or agent foundries. They work with global HQs to build solutions for the world.

What sets us apart? Low costs. Good English skills. Fast testing culture. GCCs now own big platforms. They drive revenue, not just save costs.

EY data shows 92% of leaders see GCCs as innovation drivers. 81% train teams on GenAI. The workforce grows with the tech.

Key Stats from Recent Surveys

  • 58% of Indian GCCs invest in agentic AI now.
  • 29% plan to scale it soon.
  • 83% scale GenAI efforts.
  • Customer service leads at 65% adoption.
  • Finance follows at 53%.
  • Attrition fell to 9% with better skills and roles.

Forbes article "New Report Reveals The Hidden Force Stalling Agentic AI In Finance" says that While 76% of finance leaders say 2026 is the year for strategic agentic automation investment, only 30% have functional pilots underway.

Agentic AI Case Studies: Real-World Wins in BPM and GCCs

Agentic AI is moving from pilots to real action in business. It handles complex tasks on its own. It plans, decides, and acts with little human input. This fits well in Business Process Management (BPM) and Global Capability Centres (GCCs). Indian GCCs lead here due to strong talent and fast adoption.

Here are key case studies. They show how agentic AI boosts efficiency, cuts costs, and improves outcomes.

Infosys BPM: Autonomous Invoice Processing

Infosys BPM launched an agentic AI tool for invoice processing in 2025. It uses Infosys Topaz AI. The system works in an AI-first way. Agents handle end-to-end workflows. They manage complex rules and adapt to changes. This shifts from human-led to autonomous processing. It raises speed and accuracy. Businesses scale faster with less oversight. This fits India's GCC model. Many centres use it for finance tasks.

Genpact: AI-Enhanced Accounts Payable

Genpact applies agentic AI in accounts payable for global clients. Agents learn from payment patterns. They spot fraud risks. They negotiate terms based on cash flow. They flag issues in real time. Old BPM followed strict rules. Now agents adapt and decide. This turns automation into smart business intelligence. It cuts errors and speeds up cycles. Indian GCCs like Genpact's drive these changes.

SS&C Blue Prism: Claims Processing at Trygg-Hansa

Trygg-Hansa used SS&C Blue Prism with generative and agentic AI. Agents handle personal property claims. They combine automation and AI. This streamlines the full process. It reduces manual work. Results show faster resolutions and better accuracy. This example shows agentic AI in insurance BPM. Similar setups run in Indian GCCs for global insurers.

Appian: Accounts Payable at Century Fire Protection

Century Fire Protection used Appian's Agent Studio. It automates accounts payable with agentic AI. Agents reason through tasks. They update records and send emails. They handle multi-step flows. Invoice processing time dropped by 36%. This shows scalable agentic tools in finance. Many GCCs adopt similar platforms for quick wins.

Salesforce Agentforce: Customer Service Transformations

Salesforce's Agentforce deploys autonomous agents for customer experience. In India, teams use it to personalize journeys. Agents resolve issues proactively. They work 24/7 across channels. One example is ezCater. Agents replicate human decisions for seamless ordering. This boosts satisfaction and efficiency. Indian firms explore Agentforce heavily. Over 80% of businesses look into autonomous agents per Deloitte reports.

Points To Ponder

Challenges exist. We need good governance, data privacy, and human-AI teamwork. Indian GCCs use hybrid models. Agents do heavy work. People guide strategy and new ideas.

By 2026, agentic AI may add huge value worldwide. India's BPM and GCCs sit ready to take a big share. The sector aims for $350 billion soon, led by AI, analytics, and CX.

The change is here. India's GCCs do not just join this wave. They lead it. The future looks bright from our tech cities.

Author: admin