What if your bank could approve loans in under 10 minutes? That’s exactly what DBS Bank achieved with its AI-driven platform, drastically reducing approval times from days to mere minutes. Thanks to generative AI (GenAI) agents, these autonomous systems are changing how large banks operate, driving efficiency, enhancing customer experience, and boosting profitability. But what comes next after AI agents? What if those same agents not only handled individual tasks but managed entire workflows with little to no human oversight, learning and adapting as they went? This is the power of Generative AI agentic workflow(s), the next frontier in AI’s impact on the financial industry.

At the forefront of this transformation, AI agents are already reducing operational costs by as much as 90% in some financial institutions, showcasing the vast potential for cost savings and productivity improvements. Yet, only 32% of financial institutions currently harness AI for tasks like predictive analytics, highlighting a significant untapped opportunity for growth.

We’ll explore what GenAI agentic workflow does and how it can benefit your business. 

What is Generative AI Agentic Workflow?

To fully understand GenAI Agentic Workflow, we need to break down the individual components: Agentic AI, Agentic Workflows, and Generative AI, and how their combination leads to transformative automation in finance.

Agentic AI

Agentic AI refers to AI systems, or “agents,” that act with autonomy to perform tasks and make decisions without human oversight. These agents use data, predefined goals, and continuous learning to operate independently. They are not constrained by static rules but instead analyse real-time information, adapt their behaviour, and make decisions that help achieve specific objectives.

In finance, Agentic AI could autonomously assess creditworthiness, manage customer interactions, or handle compliance monitoring. These agents are flexible, making decisions dynamically based on the information available at the time.

Agentic Workflows

An Agentic Workflow goes a step further by combining multiple autonomous agents to manage entire sequences of tasks. Rather than relying on isolated actions, an agentic workflow handles entire business processes from start to finish. These workflows involve breaking down large operations—such as loan origination or regulatory compliance—into smaller, manageable steps, which are carried out by different agents.

The key benefit of an agentic workflow is that it doesn’t require constant human intervention. Once set up, the AI agents manage the workflow end-to-end, improving efficiency and accuracy while freeing human staff to focus on more strategic work.

Generative AI

Generative AI is a form of AI designed to create new content based on patterns and data. It doesn’t just process or interpret information but can produce human-like text, generate synthetic data, or even create entirely new ideas based on its training data. Generative AI is widely used in areas like customer service, where it generates responses, personalises communications, and offers creative solutions in real-time interactions.

The Combination: Generative AI in Agentic Workflows

When Generative AI is integrated into Agentic Workflows, it creates an advanced system capable of managing and generating content or decisions autonomously. The result is Generative AI Agentic Workflows—systems that can oversee entire processes while also creating personalised or innovative outputs.

For instance, while an agentic workflow may automate a loan approval process, Generative AI enhances this by generating personalised loan offers or drafting custom follow-up emails, all without human intervention. The generative aspect makes the system more adaptive and capable of delivering tailored outcomes.

By combining Generative AI with Agentic Workflows, financial institutions gain not only efficiency and automation but also the ability to generate new insights and customer solutions on the fly, increasing both productivity and customer satisfaction.

Key Features of Generative AI Agentic Workflow

Task Decomposition

In any financial institution, processes like loan approvals, customer service, and regulatory compliance consist of multiple smaller tasks. GenAI agentic workflows excel at task decomposition—breaking down these operations into individual steps that can be handled by AI agents.

For example, in a lending process, an agent might handle credit checks, another might review historical data, and yet another could manage customer communication—all as part of a single, cohesive workflow. 

Autonomous Decision-Making

GenAI agents don’t require constant human guidance. They are empowered to make decisions autonomously based on the data they process. Whether it’s determining creditworthiness for a loan or deciding on the best course of action in a customer service query, these agents operate independently and adjust based on new information.

This is crucial for banks handling large volumes of data, as autonomous decisions reduce bottlenecks and speed up service delivery.

Continuous Learning and Adaptation

Traditional automation systems rely on static rules, but GenAI agentic workflows are different. They continuously learn and improve from the data they encounter, making them increasingly efficient and reducing the likelihood of errors.

For instance, an AI agent managing a debt recovery process might initially suggest a standard recovery plan but, over time, learn which methods work best for different types of debtors, adapting its approach accordingly.

The Role of Generative AI Agentic Workflow in the Financial Industry

Understanding the Financial Industry’s Needs

Financial institutions operate in a complex, high-stakes environment, where efficiency, compliance, and customer satisfaction are critical. With 75% of employers in the financial sector reporting recruitment struggles, operational inefficiencies often arise from staff shortages. Moreover, productivity losses of up to 40% due to frequent task-switching highlight the need for automation that reduces manual workloads.

GenAI agentic workflows offer a solution by automating routine tasks, allowing institutions to optimise operations without requiring significant increases in staff.

Applications of GenAI Agentic Workflows in Finance

Lending Processes

One of the areas where GenAI agentic workflows make a significant impact is in the lending process. Loan approvals, which used to take days or even weeks, can now be handled in hours, or even minutes. By using autonomous decision-making, AI agents can assess a customer’s creditworthiness by analysing their financial history, employment records, and other relevant data instantly.

Banks like DBS and HSBC are already exploring the use of AI agents for streamlining loan approvals, and with agentic workflows, this process can become even more efficient by integrating credit assessments, documentation checks, and approvals into a single automated system.

Customer Relationship Management

Another key application is in customer relationship management (CRM). GenAI agentic workflows can provide a more personalised customer experience by analysing individual customer profiles, understanding their needs, and offering tailored financial products or services. This not only improves customer satisfaction but also increases loyalty and lifetime value.

For example, a customer looking to apply for a loan may automatically recommend a product that fits their needs, with no manual intervention required from bank staff. Meanwhile, the system can autonomously manage customer follow-ups, document submission, and approval processes, freeing up human resources for more complex tasks.

Financial Reporting

In terms of financial reporting, GenAI agentic workflows can automate the preparation and submission of complex reports. This is particularly useful in ensuring regulatory compliance, where large banks need to produce frequent, accurate reports on their financial activities.

These workflows can pull data from multiple sources, analyse it for accuracy, and generate reports with minimal human input, all while ensuring that they meet the latest regulatory standards. This not only saves time but also reduces the risk of human error.

Benefits of Implementing Generative AI Agentic Workflow in Finance

Operational Efficiency

GenAI agentic workflows offer significant operational efficiency gains by automating routine tasks such as document processing, loan approvals, and compliance checks. These workflows free up staff to focus on more strategic work, ultimately improving overall productivity. By reducing the need for manual intervention, these workflows help streamline operations and enhance the institution’s ability to scale its services, while maintaining accuracy and compliance. This level of automation ensures that institutions operate more efficiently, with fewer bottlenecks and delays.

Enhanced Decision-Making

Financial institutions that leverage GenAI agentic workflows benefit from real-time data insights, enabling them to make faster, more informed decisions. With AI agents continuously learning from data, decision-making processes become more accurate and agile.

This is particularly important in a financial landscape where banking CIOs believe that AI is critical to their future operations, highlighting the need for systems that can make decisions autonomously and effectively.

Improved Compliance

Compliance is a critical aspect of the financial industry, and GenAI agentic workflows help ensure that institutions stay on top of changing regulations. By automating the monitoring and reporting processes, these workflows ensure that all regulatory requirements are met in real-time, reducing the risk of costly fines or legal complications.

Increased Productivity

When repetitive, time-consuming tasks are automated, employees can shift their focus to higher-level work that adds more value to the organisation. GenAI agentic workflows allow financial institutions to scale their operations without significantly increasing headcount, improving overall productivity.

Generative AI Agentic Workflow in Financial Reporting and Compliance

Automating Financial Reports

One of the most significant benefits of GenAI agentic workflows is their ability to automate financial reports. In the past, generating these reports was a time-consuming process that required data collection, analysis, and multiple layers of review. With GenAI, the entire process can be streamlined, from data extraction to report generation.

For example, a large financial institution that previously needed several employees to compile monthly or quarterly reports can now have those reports automatically generated by an AI agent. This not only saves time but also ensures greater accuracy.

Real-Time Compliance Monitoring

Regulatory environments are constantly evolving, and financial institutions are required to stay up-to-date with new regulations. GenAI agentic workflows can monitor regulatory changes in real-time and ensure that institutions remain compliant by automatically adjusting workflows and reporting processes as needed.

Generative AI Agentic Workflow in Lending and Debt Recovery

Speeding Up Loan Approvals

Traditionally, loan approvals were a manual process, involving multiple departments and lengthy checks. With GenAI agentic workflows, these processes are faster and more accurate. Autonomous agents can review an applicant’s credit history, verify documents, and make an approval decision in minutes rather than days.

Improving Debt Recovery Strategies

Debt recovery is another area where GenAI agentic workflows shine. By analysing patterns in customer behaviour, these workflows can determine the most effective strategies for recovering debts. Agents can automatically recommend tailored repayment plans or strategies to engage with customers, making the recovery process more efficient and less intrusive.

Challenges and Considerations

Data Management Requirements

To implement GenAI agentic workflows effectively, financial institutions must have robust data management systems in place. AI agents rely on vast amounts of data to make decisions and continuously improve, so having a centralised, well-organised data infrastructure is crucial.

Regulatory Concerns

As with any new technology, there are regulatory challenges to consider. GenAI agentic workflows need to comply with industry standards, and banks must ensure that their AI-driven processes do not violate any privacy laws or compliance regulations. This requires close collaboration with legal and compliance teams throughout the implementation process.

Overcoming Obstacles in Generative AI Implementation

Technical Barriers

Many financial institutions still operate on legacy systems that were not designed with modern AI in mind. Integrating GenAI agentic workflows into these systems can be challenging, but it’s not impossible. The key is to adopt flexible, cloud-based architectures that can support the introduction of AI technologies.

Regulatory Hurdles

To navigate the regulatory challenges of implementing AI, financial institutions need to ensure that they remain transparent in how they use data and make decisions. This includes building in audit trails and ensuring that AI agents can provide explanations for their decisions, making it easier to comply with existing regulations.

Future Outlook: The Evolution of Generative AI in Finance

The future of finance is likely to be shaped by the growing adoption of GenAI agentic workflows. These systems will become more autonomous, managing increasingly complex financial operations with minimal human oversight. In time, we may see entire sections of banks—such as compliance or risk management—operating almost entirely through AI agents.

By embracing these workflows now, financial institutions will be better positioned to navigate future market challenges, reduce costs, and deliver a superior customer experience.

Introducing Juris AICraft: The Future of Agentic Workflow in Finance

As financial institutions strive to keep up with the demands of an increasingly complex market, solutions like Juris AICraft are redefining how banks and other financial institutions operate. Built on the principles of agentic AI workflows, Juris AICraft offers a seamless way to manage and automate end-to-end processes, from loan origination and debt recovery to compliance and reporting.

Juris AICraft Agentic Workflow

Why Juris AICraft? Practical Benefits for Financial Institutions

In today’s competitive financial landscape, operational efficiency and compliance are more critical than ever. With Juris AICraft, your institution can:

• Increase operational efficiency by automating time-consuming processes such as document processing, decision-making, and reporting.
• Enhance decision-making capabilities through real-time data analysis and AI-driven insights, enabling quicker and more accurate decisions.
• Streamline compliance with the ability to monitor regulations in real-time, ensuring that your institution remains compliant without the need for manual checks.
• Accelerate loan approvals and recovery strategies, reducing the time it takes to assess applications or recover debts, all while ensuring accuracy and minimising human error.

By adopting Juris AICraft, your institution can also benefit from its scalable and flexible architecture, allowing you to customise workflows to fit your unique needs. This ensures that your institution can not only improve its current operations but also future-proof itself for the challenges of tomorrow.

Explore Juris AICraft Today

If your financial institution is ready to embrace the future of agentic workflows and gain a competitive edge, now is the time to explore Juris AICraft. By implementing this transformative solution, you can reduce costs, increase productivity, and ensure compliance with evolving regulations—all while delivering a superior customer experience.

Don’t wait—explore how Juris AICraft can revolutionise your operations today.

About JurisTech

JurisTech is a global leading company, specialising in enterprise-class lending and recovery software solutions for banks, financial institutions, telecommunications, and automobile companies worldwide. JurisTech has been mentioned as a Representative Provider for Lending Ecosystems, as a Representative Vendor for Commercial Loan Origination Solutions, and as a Sample Vendor for Commercial Banking Onboarding across Gartner reports in 2024.

We power economies by reimagining financial services with cutting-edge software solutions, leveraging composable architecture and generative AI. Our offerings include artificial intelligence (AI), auto-decisioning, digital customer onboarding, loan origination, credit scoring, loan documentation, litigation, and debt collection.

Our solutions have enabled businesses across a broad array of industries to undergo digital transformation, providing enhanced customer experiences and, most importantly, achieving their business goals.