Customers in India are not comparing their bank to another bank anymore. They are comparing their banking experience to their last digital experience: a UPI transfer, a food delivery update, and a WhatsApp message. That is the benchmark BFSI organizations are now being measured against, and most of them are not meeting it.

A primary research study by Dun & Bradstreet and Genesys, covering 104 senior leaders across banking, insurance, NBFCs, FinTech, and wealth management, puts this problem in precise terms. Customer Experience (CX) intent across India’s BFSI sector is strong, but execution is structurally constrained. Here’s why the gap between the two is not closing and what BFSI leaders can do.

Customer Expectations in Indian BFSI Have Structurally Reset

Customer expectations from BFSI companies are evolving:

  • 72% of BFSI leaders report that customers now expect instant resolution
  • 60% say transparency expectations have risen significantly
  • 54% identify proactive engagement as a basic customer expectation

72% of BFSI leaders report that customers now expect instant resolution

60% say transparency expectations have risen significantly

54% identify proactive engagement as a basic customer expectation

But speed, transparency, and proactive engagement are no longer features that earn loyalty. Legacy service architectures are no longer capable of meeting these advancing expectations.

CX is a Boardroom Priority, but the Organization Has Not Fully Followed

Organizations are connecting CX outcomes to revenue and retention in ways they were not doing a few years ago.

  • 41% of BFSI leaders describe CX as a board-level priority
  • 38% see CX as a key revenue growth engine
  • 38% frame it as a trust and differentiation lever
1

41% of BFSI leaders describe CX as a board-level priority

2

38% see CX as a key revenue growth engine

3

38% frame it as a trust and differentiation lever

When you look at the operational picture, it’s a different reality. Only 36% of organizations are actively reimagining their backend workflows to reflect the CX priorities their leadership has set. Better conversations are not translating into faster resolutions, because approval chains, handoff protocols, and back-end processes that drive resolution speed haven’t been redesigned to reflect the ambition at the top. 

Frontline Agents Are Better Equipped, but Workflows Are Not Keeping Pace

Frontline investment is real and showing up in individual interactions:

  • 69% of organizations are giving agents real-time customer context at the point of interaction
  • 68% are automating repetitive tasks
  • 57% have deployed AI-assisted suggestions and next-best actions

01

69% of organizations are giving agents real-time customer context at the point of interaction

02

68% are automating repetitive tasks

03

57% have deployed AI-assisted suggestions and next-best actions

However, despite these advances, data unification and omnichannel journey orchestration rank at 37% and 33%, respectively. At the same time, 69% of BFSI leaders identify data quality and fragmentation as their primary modernization barrier. Legacy core and CRM integration follows at 53%.

Investments in AI are Rising, but Governance Structures are Weak

AI adoption across India’s BFSI sector is accelerating, but the frameworks designed to oversee and control that deployment are falling significantly behind the pace of implementation.

  • AI use cases are multiplying faster than the governance frameworks designed to manage them. Only 10% of BFSI leaders report confidence in well-governed, compliant AI deployment.
  • The current wave of AI adoption is targeted at high-volume, predictable interactions. Conversational bots lead at 54%, followed by agent assist and real-time guidance at 49%, and call and chat summarization at 42%.
  • Regulatory and data privacy constraints are the primary blockers of AI-led CX transformation. 51% of BFSI leaders identify these as a top modernization barrier.

What the Future CX Model Needs to Look Like

The future CX model runs automation and human judgment together, with each handling what it does best.

  • 38% of BFSI leaders envision a model balanced across self-service and human interaction.
  • 32% see AI-assisted self-service as the dominant model, where AI handles volume and routine interactions while human agents manage complexity and maintain trust.

The capabilities leaders believe will most differentiate CX organizations over the next two to three years are:

  • Proactive, predictive service at 32%
  • Trust, security, and transparency at 20%
  • AI-augmented human agents at 19%

Proactive, predictive service at 32%

Trust, security, and transparency at 20%

AI-augmented human agents at 19%

The findings point to three strategic imperatives that address the layers of the problem surface-level CX programs consistently miss. Organizations that act on all three will move faster from intent to execution than those that continue investing in the interaction layer alone.

  • Build governance into AI programs from the design stage: Embedding compliance into AI workflows at the point of design and investing in model explainability and auditability as core capabilities will allow AI-led CX programs to scale without accumulating regulatory and reputational exposure.
  • Shift CX investment from the interaction layer to the operational layer: The next phase of meaningful CX improvement will come from transforming what customers never see: the data pipelines, approval workflows, integration architectures, and operational processes that determine how quickly and reliably issues are resolved after the interaction has ended.
  • Choose sector-specific operating models over generic CX transformation approaches: No two BFSI segments are dealing with the same problem at the same depth. Organizations that design their CX strategy around their segment’s dominant constraint will make faster, more measurable progress than those applying standardized best practices across the board.

Global BFSI Success Story:

Visa partnered with Genesys to modernise its customer experience using a unified, AI-powered platform. The implementation helps Visa handle 106M+ disputes annually, support 340+ financial institutions, and deliver high-impact moments for consumers globally. Read the case study → https://www.genesys.com/en-sg/customer-stories/visa

Bridging the CX Intent-Execution Gap with Genesys

Bridging the distance between CX intent and CX execution requires addressing the structural, data, and governance foundations. Genesys Cloud brings together AI-powered automation, omnichannel journey orchestration, workforce engagement management, and unified customer data into a single platform built for exactly this challenge.

For BFSI organizations navigating legacy constraints, fragmented data, and rising regulatory expectations, Genesys provides the infrastructure that connects the interaction layer to the operational layer, so that better conversations lead to faster, more reliable resolutions for customers.

Get access to the full report

The 2026 BFSI CX Reality Check: India Edition

Download Now! → https://www.genesys.com/en-sg/resources/bfsi-cx-reality-check-report

FAQs

What is the biggest CX challenge facing India’s BFSI sector today?

The gap between board-level CX intent and the operational architecture required to deliver consistent outcomes at enterprise scale.

Why is AI governance a concern for BFSI organizations?

Only 10% of BFSI leaders are confident in well-governed AI deployment, meaning most are scaling AI use cases faster than the compliance frameworks designed to manage them.

Which BFSI segment faces the most severe data quality problem?

74% of NBFC leaders cite data quality and fragmentation as their primary CX modernization barrier.