Reinvent banking operations with data and AI

Leverage AI and data to enhance customer experience, agility, and cost efficiency in banking operations.

As banks face high-cost legacy systems and increasing competition, achieving 20-25% cost savings and boosting customer satisfaction is crucial. Leveraging AI and data analytics can transform operations, enhance efficiency by up to 50%, and dramatically improve compliance. This approach helps ensure banks remain resilient and capitalize on emerging opportunities through intelligent data extraction and automation.

80%

of controls are automated which enhancing accuracy and reduces the risk of errors.

100%

reduction in AHT, leading to faster service delivery and improved customer satisfaction.

70%

reduction in 'time to yes' for bank account openings and lending, making the customer experience more seamless.

How AI is disrupting legacy banking operations

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AI and data are transforming banking operations

Banking leaders are transforming operations with AI and data analytics, addressing legacy system costs and inflexibility while boosting efficiency and customer experience. Intelligent data extraction helps ensure timely, accurate information, leading to cost savings, better compliance, and operational agility.

AI-enabled matching algorithms improve data integrity

Banking leaders use AI algorithms to validate data with human oversight. These algorithms learn from training data, improving accuracy and consistency. Intelligent data extraction simplifies data comparison, enhancing integrity and efficiency.

Intelligent workflow tools optimize resource use

Banking leaders optimize resource use with intelligent workflow tools. These tools assign tasks to the best resource, balance workloads, and ensure robots handle repetitive tasks while humans focus on complex work. Intelligent data extraction supports efficient workflows.

Rules engines are automating compliance

Banking leaders are using rules engines to automate compliance processes. By breaking down policies and regulations into actionable steps, they can enhance compliance by design. Intelligent data extraction helps ensure that the necessary data is accurately and efficiently processed, making it easier to meet regulatory requirements and reduce the risk of non-compliance.

Generative AI is personalizing customer interactions

Banking leaders are leveraging generative AI to create more personalized and efficient customer interactions. This technology uses extracted data to tailor communications through email and chat, streamlining processes and reducing manual entry. The result is seamless interactions, faster processing, and standardized outputs, which significantly improve customer satisfaction and operational efficiency.

Real-time data analysis is driving informed decisions

Banking leaders are harnessing the power of real-time data analysis to make more informed decisions. Intelligent data extraction helps ensure that critical information is available instantly, allowing banks to identify trends, manage risks, and optimize operations. This capability is essential for staying competitive and responsive in a rapidly evolving market.

Generative AI is enhancing security

Banking leaders are enhancing security through advanced AI and intelligent data extraction. By analyzing large datasets and identifying anomalies, they can proactively address potential security threats, reducing fraud and building customer trust. This technology also automates compliance checks, ensuring that all transactions are secure and compliant.

Data-driven practices are mitigating financial risks

Banking leaders are adopting data-driven risk management practices to mitigate financial risks. Intelligent data extraction provides accurate and timely information, enabling banks to assess and manage risks more effectively. This leads to optimized loan portfolios, improved credit scoring, and more robust risk management practices, ultimately resulting in better financial outcomes.

Leverage AI and data analytics to drive process transformation, achieving cost savings, improved service quality, and enhanced compliance. Intelligent data extraction ensures that critical information is accurately digitized and available for analysis, supporting strategic decision-making and operational agility.

Use AI-enabled matching algorithms to validate data with human oversight, improving over time as they learn from additional training data. Intelligent data extraction ensures that data is accurate and consistent, reducing errors and the need for manual intervention. This leads to enhanced data integrity and operational efficiency.

Implement intelligent workflow tools to assign tasks to the most suitable resource, balancing the workload and optimizing resource utilization. Robots handle repetitive tasks, while humans focus on complex work requiring specialized knowledge. Intelligent data extraction ensures that data is accurately and efficiently processed, supporting seamless and efficient workflows.

Use a rules engine to break down policies and regulations into actionable steps, enhancing compliance by design. Intelligent data extraction ensures that the necessary data is accurately and efficiently processed, making it easier to meet regulatory requirements and reduce the risk of non-compliance.

Leverage generative AI to enhance customer interactions through email and chat, using extracted data to personalize communications. Analyze documents and prepopulate inputs to streamline processes and reduce manual entry. This leads to seamless interactions, faster processing, and standardized outputs, improving customer satisfaction and operational efficiency.

What you’ll achieve

20-25% savings in banking costs

Transform banking operations with AI for 20-25% cost savings. Enhance customer satisfaction, compliance and efficiency through data analytics and automation. Accurate data extraction supports real-time analysis and decision-making.

Higher customer satisfaction and NPS

Implementing AI-driven automation in banking boosts NPS. It offers faster service, reduces fraud, improves compliance, and saves costs. Intelligent data extraction personalizes and streamlines interactions, providing a competitive edge.

50% efficiency gains

Unlock up to 50% efficiency gains in banking with AI and data-driven insights. improve cost savings, customer experiences, compliance and boost revenue. Intelligent data extraction automates processes, ensuring accurate and available data.

Enhanced compliance

Intelligent data extraction enhances compliance by automating digitization and validation, ensuring precise regulatory adherence. It increases compliance, freeing human resources for strategic tasks, making the organization more agile.

Personalized customer interactions

Generative AI enhances customer interactions through email and chat, using extracted data to personalize communications. It analyzes documents and prepopulates inputs to streamline processes. The result…faster processing.

Informed decisions driven by real-time data analysis

Intelligent data extraction enables real-time analysis, offering actionable insights for decision-making. It identifies trends, manages risks and optimizes operations, allowing banks to respond swiftly to market changes and customer needs.

Enhanced security

AI and intelligent data extraction are vital for fraud prevention. By analyzing large datasets to spot anomalies, banks tackle security threats, reduce fraud and boost customer trust and automate compliance checks for secure transactions.

Mitigated financial risks

Intelligent data extraction aids in risk management providing accurate, timely information. Banks use this data to mitigate financial risks, optimize loan portfolios and enhance credit scoring, resulting in more robust risk management.