The transformative power of agentic AI in financial services

The Banking, Financial Services and Insurance (BFSI) sector stands at the forefront of a transformation catalyzed by a new wave of artificial intelligence: agentic AI.

Unlike traditional AI, which reacts to predefined inputs, agentic AI integrates proactive decision-making and autonomy, empowering financial institutions to anticipate and act on customer and operational needs. Such a paradigm shift is redefining how institutions engage with clients, manage regulatory complexities and optimize internal processes, while offering a strategic edge in an increasingly competitive market.

Deloitte predicts that by 2025, 25% of enterprises leveraging AI will deploy intelligent agents, with adoption expected to rise to 50% by 2027. These projections reflect a growing industry shift toward systems capable of autonomous action, making agentic AI an essential tool for financial institutions aiming to enhance customer satisfaction, streamline operations and ensure agility in a rapidly changing environment.

Agentic AI is not merely an extension of existing AI capabilities; it redefines what artificial intelligence can achieve. While generative AI (gen AI) focuses on creating content, agentic AI goes further, enabling systems to interpret complex scenarios and act decisively in real time.

Targeted use case: fraud prevention

The promise of agentic AI becomes clearer when examining its applications in fraud detection and customer engagement. Major financial institutions are already leveraging AI-powered fraud detection systems capable of analyzing millions of transactions in seconds to identify anomalies.

These systems reduce financial losses associated with fraud and minimize false positives for smoother experiences for legitimate customers. Virtual advisors powered by agentic AI monitor live market conditions to recommend portfolio adjustments proactively. Anticipating client needs strengthens relationships and positions financial institutions as trusted partners.

Beyond customer engagement, agentic AI is driving operational innovation. Tasks that once consumed significant time and resources, such as compliance reporting and trade financing, are now being streamlined with intelligent automation.

And another valuable application: risk management

Risk management is another critical area where agentic AI is making strides. Enhanced predictive models allow institutions to improve forecasting accuracy significantly—often by as much as 40%.

These advancements empower faster and more informed decision-making, allowing organizations to mitigate risks before they escalate. With compliance regulations becoming increasingly complex, agentic AI automates the generation of regulatory reports and dynamically adapts to new legal requirements. This approach reduces human error and allows compliance teams to focus on strategic priorities rather than routine tasks.

Upskilling in demand

While the promise of agentic AI is compelling, adoption presents several challenges. Many financial institutions still rely on legacy systems ill-suited for advanced AI technologies. Adopting a phased approach—starting with low-risk applications like automated notifications or compliance reporting—can help organizations realize incremental benefits while minimizing disruption.

Workforce readiness also requires attention. Employees need training and upskilling to collaborate with AI systems effectively. By investing in such programs and fostering a culture of collaboration, institutions can ensure the successful integration of AI technologies.

At the same time, data privacy must remain a top priority. Financial institutions must implement robust governance frameworks to protect sensitive customer information, comply with regulations like GDPR, and maintain trust.

The BFSI industry stands at a crossroads. Institutions that integrate agentic AI into their operations will be positioned to lead in a market defined by complexity and rapid change. Proactive systems that anticipate needs adapt to evolving conditions and make intelligent decisions will set the standard for customer engagement and operational excellence.

Delaying adoption is no longer a viable option. The pace of innovation is accelerating, and the costs of inaction—whether through inefficiencies, lost customers, or heightened risk exposure—are rising. Agentic AI is more than a technological advancement; it is a strategic imperative for financial institutions seeking to remain competitive in a digital-first world. For industry leaders, the path forward is clear.

By embracing the potential of intelligent, autonomous systems today, they can redefine the benchmarks of success for tomorrow.

Sudhir Nambiar is Managing Director and BFSI Leader for North America at Brillio. Dhiraj Pathak is Managing Director and Data and AI Head at Brillio.