Will Agentic AI Set the Next Standard in Financial Services?

Artificial Intelligence is already reshaping how businesses operate—and now, a more advanced phase is beginning to take hold: Agentic AI. Unlike conventional systems, this approach enables AI to carry out tasks with goal-driven independence, making decisions, adapting strategies, and executing complex processes with minimal oversight.

As fintech evolves in 2025, Agentic AI is no longer just a research topic—it’s already making its way into everyday financial services, offering smarter automation, faster decision-making, and more responsive customer interactions. So, what impact could this have on financial services?

What Is Agentic AI?

Agentic AI is designed to think and act in ways that mirror human reasoning. It can:

• Gather data from multiple sources (sensors, APIs, databases)
  
  
• Interpret this data using advanced AI capabilities like NLP and computer vision
  
  
• Set goals and build strategies using tools like decision trees and reinforcement learning
  
  
• Execute tasks, assess outcomes, and adjust based on feedback
  
  

Unlike traditional models that work within preset limits, Agentic AI adapts in real time. It operates through a system of individual AI agents, each completing a specific task and contributing to the larger objective. These agents work together under AI orchestration—a layer that oversees the full workflow and ensures everything runs smoothly, from coordination to error handling.

Agentic AI in Action- Financial Services Lead the Shift

In just the first few months of 2025, major tech and finance names have rolled out new Agentic AI-powered solutions.

• NVIDIA and Oracle partnered in March to help businesses scale their AI use by combining NVIDIA’s performance software with Oracle’s cloud infrastructure, making more than 160 AI tools available to users.
  
  
• Google Cloud extended its work with Deloitte, Capgemini, and Accenture to support businesses through ready-made agents and workflow enhancements, improving everything from customer service to internal systems.
  
  
• PayPal introduced the Agent Toolkit, enabling developers to build financial workflows using its APIs across payments, disputes, subscriptions, and more. Two weeks later, it added shopping-focused tools so merchants could power AI-based experiences for end users.
  
  
• Mastercard launched Agent Pay, offering AI-based tokens and payment flows that personalise and secure each step of a customer’s buying journey.
  
  
• Visa revealed Visa Intelligent Commerce, a framework designed to allow AI agents to manage payments securely. It integrates Visa’s network into future shopping systems where consumers receive recommendations and make purchases with minimal input.
  
  

These use cases go beyond just automation—they’re redesigning how systems interact, learn, and evolve. And it’s clear that global players are not waiting. They’re already investing in long-term infrastructure to prepare for a financial sector powered by AI agents.

Regulation- Keeping AI Accountable

With Agentic AI entering critical systems, oversight is becoming essential.

• The EU’s AI Act came into effect in August 2024, putting in place one of the most detailed legal frameworks to monitor AI across industries. Additional rules like the Digital Operational Resilience Act (DORA) address risks specific to the financial sector.
  
  
• The UK’s AI Safety Institute (AISI) now evaluates AI models to ensure safe practices, and the Financial Conduct Authority (FCA) introduced a live testing environment in April 2025 for companies to trial AI responsibly.
  
  
• In the US, the focus has shifted due to political changes. The Securities and Exchange Commission is currently examining AI’s role in market integrity, while banking regulators are weighing its influence on system stability.
  
  

Each country is taking a slightly different path, but all are working toward one goal: ensuring AI supports innovation without compromising safety, accountability, or fairness.

The Future- What’s Coming Next?

As Agentic AI continues to evolve, three emerging patterns stand out:

1. Interfaces are fading: Actions like payments, fraud checks, or onboarding are becoming embedded in conversations and behind-the-scenes systems. Agents handle these steps without needing the user to act directly.
   
   
2. The infrastructure is being redefined: Companies like Stripe, Mastercard, and PayPal are offering tools that let agents control transactions, shipping, and user permissions in real time, without added complexity.
   
   
3. Protocols are taking shape: Standards are being built to help agents connect and work across platforms. Those who build with these protocols in mind could soon own the entire transaction loop—from decision to data to value.
   
   

Conclusion

Agentic AI is more than another upgrade—it represents a new design philosophy for systems. Financial institutions that adopt it thoughtfully, with attention to compliance and user needs, will gain an edge. But with this opportunity comes the need for shared responsibility between developers, financial firms, and regulators.

At Techno Exponent, we’re following these trends closely—not to chase hype, but to build solutions that genuinely solve problems. Our goal is to help businesses move forward with AI tools that are not only efficient but also ethical, secure, and well-structured for the long run.

Stay tuned as we continue tracking what Agentic AI means for fintech—and beyond.