AI and RPA in Banking

Automating business processes in banks create substantial cost savings, process efficiency and accuracy

SOLUTIONS BY INDUSTRY

Banking

We have helped some of the largest banks in Finland and Vietnam achieve cost savings, increase operational efficiency and productivity through automation along the years.

Banks have traditionally been on the forefront of implementing AI, automation and software robots. Automation solutions in banking have significant impact potential where the precision and efficiency provided by those technologies are particularly needed in processing large amounts of data.

Automation use cases in Banking

How AI-driven automation improves critical Banking processes

Explore how AI and RPA help banks process loans and payments faster, automate KYC and regulatory reporting, and deliver a smoother customer experience end to end.

Lending

AI and RPA automation transforms lending operations by handling application processing, loan processing, funding, and ongoing administration and monitoring, so banks approve loans faster, reduce credit decision errors, and keep portfolios audit-ready.

USE CASES EXAMPLES
  • Application Processing
  • Loan processing
  • Funding
  • Administration & Monitoring

Financing

Use AI and RPA to automate KYC, trade finance approvals, import and export documents, payments, and reconciliation, cutting cycle times in your financing operations.

USE CASES EXAMPLES
  • KYC and Due Diligence
  • Processing & Approvals
  • Import & Export
  • Payments
  • Reconciliation

Treasury & liquidity

Automate order management, risk monitoring, alerts, and fees and charges in treasury and liquidity operations with AI and RPA to improve cash control and reduce manual reconciliation.

USE CASES EXAMPLES
  • Order Management
  • Order Processing
  • Risk Management:
  • Monitoring & Alerts
  • Fees & Charges

Payments

AI-driven automation accelerates payment operations by handling payment initiation and repairs, processing high volumes of transactions, screening alerts for fraud and sanctions, and reconciling nostro accounts, helping banks settle payments faster with fewer errors and lower compliance risk.

USE CASES EXAMPLES
  • Payment initiation & repairs
  • Payment processing
  • Monitoring alerts & Screening
  • Nostro Account Management & Reconciliation

Collections & Risk compliance

Use AI and RPA to automate collections origination and processing, fees, internal reporting, and regulatory submissions, improving recovery rates while cutting compliance workload.

USE CASES EXAMPLES
  • Origination
  • Collection processing
  • Fees & Charges
  • Internal reporting
  • External reporting for authorities

Customer service

AI-driven automation improves banking customer service across onboarding, account servicing, day-to-day customer activities, account closure, and external customer reporting, so service teams resolve cases faster and deliver a consistent experience across every channel.

USE CASES EXAMPLES
  • Onboarding
  • Account Servicing
  • Customer service activities
  • External reporting for authorities
  • Account Closure
  • External customer reporting

Benefits of AI-driven automation in Banking

Increased speed and productivity​

RPA speeds up processes and increases efficiency by processing data quickly or transforming data between systems.

Enhanced customer experience​

Robots permit quicker response to customer requests and better management of customer feedback and satisfaction data.

Higher cost savings​

RPA creates immediate cost savings and RPA investment's payback time is usually a few months.

Better quality​

Process quality and accuracy are improved when the amount of errors in processes are reduced.

Case stories in Banking

Customer story

POP Bank develops their digital services with RPA

As POP Bank's automation partner since 2017, Sisua has built dozens of solutions that streamline back-office operations, improve risk management, and speed up customer service.

Case: Loan application process

Finnish Bank focused on servicing private customers & SMEs.

Finnish education system generates annual demand peaks for study loans during Spring and Autumn as students get accepted to degree programmes, which calls for significant amount of manual work in the bank. RPA was utilized for freeing human labour for more value adding tasks.

Upon new study loan applications, bank clerks need to gather applicant background information from Customer Information System, fill in an internal form, apply for loan warranty in external system and mark the application as accepted in the system.

With automation it was possible to significantly reduce the FTE related to the manual process and speed up the process during peak seasons.

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