Agentic AI in BFSI: A Leadership-Led Approach to Transformation

Agentic AI-Led BFSI Transformation Isn’t Just Tech, It’s Leadership with Responsibility

In a world where financial ecosystems are being redefined by uncertainty, digital disruption, and rising customer expectations, BFSI institutions are under more pressure than ever to evolve.

Today, transformation in BFSI goes beyond process digitization. It’s about prediction over reaction, personalization over standardization, and most importantly, purpose over just profit.

At the heart of this evolution lies Agentic AI—a new frontier in artificial intelligence that enables systems to act with autonomy, responsibility, and adaptability. It moves financial institutions from passive responders to intelligent, proactive, and trusted partners in their customers’ financial lives. And this shift is a leadership imperative beyond being just technical.

From Automation to Empowerment

The BFSI industry has already seen multiple waves of digital innovation—mobile banking, cloud migration, API banking, and now GenAI. But Agentic AI is different. Take the case of an AI agent who has been trained to proactively connect with customers through an app or platform. This agent is aware of the customer’s history and preferences and can recommend services – from renewing insurance policies, initiating payment transactions, or sharing details around new products.

The true benefit here is not just automation. It’s empowerment.

  • From resolving fraud to anticipating and preventing it in real-time
  • From one-size-fits-all products to hyper-personalized financial journeys
  • From back-office efficiency to frontline intelligence and advisory augmentation
  • From siloed systems to connected, context-aware ecosystems
  • From opaque decisions to explainable, auditable, and ethical AI

This level of transformation requires more than technology investment—it requires trust, governance, and visionary leadership. BFSI customers need to feel safe and understood during these interactions, especially when AI-led results and decision making, such as risk scoring, are shared. The results must be transparent, fair, and comprehensible. Governance plays a significant role in ethical deployments, regulatory foresight, and risk resiliency. It is strategic and visionary leadership that binds these together to establish an empathy-first, AI-led organizational approach.

Responsible AI: Trust is the New Currency

The financial services industry deals with more than just numbers. It deals with people’s futures, aspirations, and livelihoods. In this landscape, trust isn’t a by-product—it’s the product. Agentic AI brings tremendous power, but with that comes the duty to be transparent, inclusive, and accountable.

Responsible AI in BFSI means:

  • Ensuring bias-free lending decisions
  • Offering fair and accessible financial advice
  • Automating with explainability—especially in credit, risk, and compliance
  • Handling sensitive customer data with consent and care
  • Designing customer interactions that are empathetic, not just efficient

This is where leadership must step up—to both enable and govern AI with integrity. Leaders must take accountability of AI’s societal impact: incorporating responsible AI KPIs into leadership scorecards, and ensuring all teams—product, risk, legal, and tech—collaborate for success. This will also ensure that customer needs and human-centricity always come first as trust and transparency remain the bedrock of the BFSI industry.

Human + AI: Co-Creating the Future of BFSI

In the age of Agentic AI, success will come from blending human intelligence with machine intelligence. At Tech Mahindra, we’re proud to partner with forward-looking banks, insurers, and fintechs across Europe to redefine the future of finance. One that is:

  • Human-centric — designed for experience, inclusion, and well-being
  • AI-augmented — intelligent at scale, but always with human oversight
  • Cloud-native — resilient, scalable, and ready for continuous innovation
  • Outcome-focused — driving measurable business and societal impact

Our work includes:

  • Conversational banking and digital advisors powered by GenAI
  • Risk modeling and compliance automation using Agentic frameworks
  • Data-driven personalization in wealth, retail, and commercial banking
  • Claims automation, fraud analytics, and credit decisioning at scale
  • Sustainable finance platforms integrating ESG intelligence into portfolios

We’re not just modernizing systems—we’re co-creating future-ready financial institutions. This co-creation means that while Tech Mahindra provides the technical knowhow and AI –powered solutions, our clients bring consumer and industry insights. We are committed to shaping a BFSI future that is both tech-forward and trust-led. Together, we are creating a future that is based on empathy, ethics and excellence, enabling true transformation built on three pillars:

  • Technology that empowers
  • Leadership that inspires
  • Responsibility that guides

To bring these pillars to life, we partner with our clients from strategy to AI modelling and implementation, requirement gathering and designs, compliance automation, legal disclosures.

Leadership at the Crossroads of Technology and Purpose

The fastest adopters of tech will not shape the future of BFSI. But by the most responsible stewards of it.

This moment calls for leaders who:

  • Put transparency ahead of just tech enablement
  • Build cross-functional trust between business, risk, and IT
  • Align AI strategies with regulatory foresight and ethical clarity
  • Invest in digital upskilling across their organizations
  • Lead with empathy, especially as customers face financial stress, fraud, or exclusion

Being such a leader means embedding AI explainability into the core of the organization, establishing mechanisms to resolve unintended consequences, and proactively managing compliance and regulations rather than reacting to compliance mandates. It’s not about being “AI-first.” It’s about being purpose-first in an AI-enabled world. And this, to me, is what true leadership looks like in BFSI.

The Future of BFSI is Intentional, Not Accidental

Agentic AI will play a central role in:

  • Creating financial products that adapt in real time to customer needs
  • Enabling embedded finance models with contextual intelligence
  • Supporting climate finance, fraud mitigation, and inclusive lending
  • Building autonomous yet compliant processes that scale globally
  • Delivering seamless digital experiences that feel personal, not mechanical

But none of this will matter if the industry loses its human touch.

This transformation is a strategic leadership choice. It’s about taking accountability for how AI impacts people, customers, employees, and society at large.

This is the age of Agentic AI with accountability—where BFSI players don’t just evolve; they lead with purpose.

What’s next for Agentic AI? And how will this tech evolve the role of leadership in BFSI? We will soon find out.

About the Author
Manish Upadhyay
SVP & Business Head – Insurance, Europe, Tech Mahindra
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Manish Upadhyay is a seasoned industry leader with over 22 years of experience spanning the Banking, Financial Services, Insurance (BFSI), and global Sports ecosystem. As Senior Vice President at Tech Mahindra, he leads strategic growth and transformation initiatives across BFSI and Sports verticals, helping global enterprises embrace digital, cloud, and AI-driven innovation.

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Manish Upadhyay is a seasoned industry leader with over 22 years of experience spanning the Banking, Financial Services, Insurance (BFSI), and global Sports ecosystem. As Senior Vice President at Tech Mahindra, he leads strategic growth and transformation initiatives across BFSI and Sports verticals, helping global enterprises embrace digital, cloud, and AI-driven innovation.

Manish is a board member and frequent speaker and panelist at global forums, where he shares insights on digital transformation and AI in financial services. His expertise lies in building high-performing partnerships, scaling transformation programs, and aligning emerging technologies with real-world business outcomes.

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