Skip to content 
Novitates Tech is committed to shaping a digital landscape that empowers businesses globally, offering accessible transformative solutions that ignite industry-wide change. Our dedication to innovation drives us to create strategies that redefine global business operations.
The BFSI contact centre of 2027 is not an upgraded version of the contact centre of 2024. It is a fundamentally different operating model — one where AI agents handle the majority of customer interactions, human specialists focus on high-value and emotionally complex cases, real-time decisioning personalises every interaction, and compliance documentation happens automatically.
McKinsey describes this shift as moving from AI curiosity to AI accountability — from experimenting with tools to redesigning how work is done. “It’s not about automating tasks anymore. It’s about redesigning how work gets done. This is not an efficiency play but rather a transformation play.” (Source: McKinsey, “The Future of Customer Experience: Embracing Agentic AI,” June 2025) For BFSI institutions, the transformation roadmap requires clarity on what the destination looks like, and a realistic path to get there.
| KEY STATISTICS AT A GLANCE ▶ 30% operational cost reduction from agentic AI customer service by 2029 — Gartner, March 2025 ▶ 75% of hiring processes will test AI proficiency by 2027 — Gartner, October 2025 ▶ 94% reduction in wait times at major multinational bank — Aloware, 2025–2026 ▶ AI transformation = redesigning how work gets done, not just automation — McKinsey, June 2025 |
The intelligent BFSI operations centre of 2027 has four distinct layers. The first is the self-service resolution layer: AI agents that handle all high-volume, low-complexity interactions autonomously — account inquiries, basic transactions, standard claims, routine compliance queries. These agents operate 24/7, across every channel, with response times measured in seconds.
The second is the AI-augmented specialist layer: human agents equipped with Pega’s Unified CSR Desktop, real-time AI guidance, and complete customer context. These specialists handle emotionally complex, regulatory-sensitive, or high-value interactions — with AI eliminating all administrative burden so they can focus entirely on the customer.
The third is the proactive engagement layer: AI-initiated outreach to customers showing signals of churn risk, financial distress, or product fit — delivering personalised, timely interventions that improve lifetime value. The fourth is the compliance and analytics layer: automated documentation, regulatory reporting, and performance analysis that runs continuously in the background, requiring human attention only for genuine exceptions.
McKinsey’s framework for scaling AI agents in enterprise operations provides the most actionable roadmap for BFSI contact centre transformation. Step one: prioritise vertical use cases tied to core business metrics — in BFSI, this means starting with the highest-volume, most measurable interaction types. Step two: build an agentic AI mesh — a modular, governed system for managing distributed AI agents. Step three: invest in data quality as the foundation — agents amplify data quality problems, not eliminate them. Step four: ensure business leadership drives the transformation, not just IT. (Source: McKinsey, “Seizing the Agentic AI Advantage,” 2025)
This four-step approach maps directly to Novitates’ Pega implementation methodology: identify the highest-impact use cases, build the orchestration infrastructure, validate data quality and integration, and align business leadership on measurable outcome targets.
| “McKinsey’s framework for scaling AI agents in enterprise operations provides the most actionable roadmap for BFSI contact centre transformation.” |
By 2027, 75% of hiring processes will include certifications and testing for workplace AI proficiency. (Source: Gartner, October 2025) In BFSI customer service, this means the job specification for a contact centre agent is already changing: from transaction processing to AI collaboration, from script following to complex problem-solving, from single-channel expertise to omnichannel relationship management.
The institutions that invest in AI literacy training for their service teams — alongside AI tooling — will be the ones whose human agents deliver exceptional outcomes in the hybrid model. Novitates’ Pega implementations include change management and training programmes specifically designed for BFSI customer service teams transitioning to AI-augmented operations.
The measurable outcomes of a fully transformed BFSI intelligent operations centre include: a 30% reduction in operational costs (Gartner’s 2029 projection for agentic AI customer service); a 9–14% improvement in agent efficiency (McKinsey, 2025); a 90% reduction in onboarding time for KYC (Deloitte, 2025); a 94% reduction in customer wait times for common queries (Aloware, 2025); and a 20-point NPS improvement (First Tech Federal Credit Union, Pega.com).
Every one of these outcomes is achievable for a BFSI institution that invests in the right platform, the right implementation, and the right change management. Novitates offers a structured transformation assessment that maps your current state to these targets and designs the fastest credible path between them.
| READY TO TRANSFORM YOUR BFSI CUSTOMER SERVICE? Novitates specialises in Pega-powered solutions for BFSI and enterprise commerce. Book a free 30-minute discovery session with our specialists today. novitatestech.com/contact-us | +91 929-151-6231 | connect@novitatestech.com |
Novitatestech © 2026 All rights reserved.
Optimized by Seraphinite Accelerator
