Article
5 min read
Veena Nair

AI Agents Are Reshaping Financial Services  

 

AI-powered agents took center stage during the Super Bowl, a testament to their growing relevance across industries. While the average viewer may not interact directly with these technologies, one thing is clear—Agentic AI is no longer an emerging concept; it is a critical enabler of business transformation.   

 

What is Agentic AI?  

 

Agentic AI refers to intelligent systems that go beyond responding to commands—they proactively search, analyze, and execute tasks across enterprise environments. These AI agents enhance efficiency, automate complex workflows, and optimize decision-making across multiple domains.  

 

Leading cloud providers are shaping this shift:  

 

  • AWS: Amazon Q and Bedrock  
  • Salesforce: Agentforce  
  • Google Cloud: Agentspace  
  • Microsoft: Azure Copilot  
Financial services firms generate vast amounts of data, often housed in disconnected systems—financial reports, securities research, CRM platforms, cloud storage, and public sources. Traditional data management struggles with silos, while SaaS expansion has further increased complexity.  

 

How does Agentic AI help? AI-driven agents act as knowledge orchestrators, integrating disparate data sources, deriving actionable insights, and initiating follow-up actions. In financial services, AI agents can streamline critical operations, including:  

 

  • Regulatory intelligence: Identifying relevant legal and financial regulations  
  • Market insights: Summarizing key takeaways from research reports  
  • Risk mitigation: Aggregating and assessing risk data from various sources  
  • Workflow automation: Generating tasks or alerts for human intervention  
  • Choosing the Right AI Agent for Your Business  

 

Different cloud providers bring distinct strengths to the AI landscape. Selecting the optimal AI agent depends on the business challenge, rather than the vendor ecosystem:  

 

AI Agent  

Core Strengths  

Best Applications  

Agentspace (Google)  

Multi-modal AI (text, audio, video)  

AI-driven research, compliance  

Agentforce (Salesforce)  

CRM automation  

Sales, customer engagement  

Azure Copilot (Microsoft)  

Deep Office 365 integration  

Productivity, workflow optimization  

 

 

Multi-Cloud AI: A Smarter Approach for Financial Services  

 

A one-cloud-fits-all approach is limiting. Each provider specializes in key AI capabilities:  

 

  • Google leads in search, discovery, and AI-driven knowledge retrieval.  
  • AWS excels at scalable machine learning model deployment.  
  • Microsoft dominates in enterprise productivity solutions.  
For financial services organizations, a multi-cloud AI strategy ensures access to best-in-class tools, avoiding vendor lock-in. The key takeaway? Select AI solutions that solve specific business problems, not just those aligned with existing cloud providers.  
  

 

Agentic AI in Action: Transforming Insurance  

 

Insurance has long been burdened by manual, resource-intensive processes—particularly in underwriting and claims management. Endava has successfully deployed an AI Background Agent to automate underwriting by:  

 

  • Extracting missing policyholder information  
  • Cross-referencing databases for verification  
  • Identifying inconsistencies before final approval  
  • This innovation not only reduces human effort but also accelerates policy decisions with greater accuracy.  

 

Filing a claim? Imagine an AI-driven experience that:  

 

  • Auto-fills claim forms using existing data  
  • Instantly verifies coverage eligibility  
  • Flags missing documents before submission  
  • These capabilities significantly enhance customer experience—making an otherwise tedious process seamless and stress-free. 

 

Strengthening Compliance with AI-Powered Security Audits  

 

Risk and Control Self-Assessment (RCSA) is a critical component of financial services risk management. Historically, RCSA has relied on manual compliance checks, requiring teams to scrutinize reports, reconcile discrepancies, and ensure adherence to security policies.  

AI agents are redefining this process by:  

 

  • Monitoring transaction logs & security reports for anomalies  
  • Detecting inconsistencies to improve fraud prevention  
  • Generating automated compliance reports with actionable insights  
  • Correcting errors in real-time or escalating them to compliance teams  
This shift dramatically reduces the burden on compliance professionals, allowing them to focus on higher-value regulatory strategy and governance.  

 

The Future of Agentic AI in Financial Services  

 

Agentic AI is already transforming compliance, risk management, and security across financial institutions. By embedding AI-powered agents into underwriting, claims processing, fraud detection, and governance workflows, financial services firms can enhance operational efficiency, minimize risk, and maintain regulatory compliance.  

 

While AI-driven Super Bowl ads may have sparked curiosity among viewers, the real impact of Agentic AI is playing out in boardrooms and back offices across the financial sector.  

 

Looking to leverage Agentic AI for your business? Contact us at contactus@info.endava.com to explore tailored solutions that drive measurable results.

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