To ensure effective oversight in a rapidly changing and complex financial landscape, regulators are progressively embracing digital transformation. This involves reshaping the traditional supervision model, leveraging suptech to build continuous, adaptive, and risk-aligned supervision.  

In this first of our three-part in-depth survey series conducted by Central Banking, supervisory leaders discuss their research and investment priorities, and how these are evolving. This is essential reading for regulatory practitioners seeking in-depth case studies on peer strategies and experiences. 

 

This report features direct insights from leaders at: 
  • Central Bank of Brazil   
  • Qatar Financial Centre Regulatory Authority (QFCRA) 
  • National Bank of Georgia   
  • Superintendency of Banking, Insurance and Private Pension Fund Administrators, Peru (SBS, Peru) 

 

The report covers four key areas:  
  • Research & investment priorities in data analytics, risk modeling, and regulatory reporting. 
  • Technology investments to build an efficient supervisory infrastructure. 
  • Pros and cons of adopting off-the-shelf solutions. 
  • Evolution of regtech and suptech operations, capacity and costs. 

What is really important is that we are at this point where central banks want to move forward – they want to leverage modernization and innovation to achieve an environment that is more streamlined, automated and resilient.

Tatia Tsiklauri National Bank of Georgia

Budgetary preference falls on integrated platforms or systems that can meet multiple supervisory needs in a unified way. For example, a single analytical solution that serves different departments – banks, cooperatives, capital markets – may be more costly initially, but it reduces silo maintenance expenses and future integration costs.

Aristides Andrade Cavalcante Neto Central Bank of Brazil

In terms of infrastructure investment, especially for AI, machine learning and automation projects, the AML/CFT area has recently incorporated technologies with enhanced processing capabilities.

SBS Peru

Costs and capacity are evolving in tandem. By automating data pipelines and deploying workflows, we are reducing manual effort and redirecting supervisory time to higher value analysis.

Perttu Korhonen QFCRA

RegTech and SupTech in central banks: 2026 Case Studies

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Discover how supervisory leaders are shaping research and investment priorities to build an effective, digitally enabled supervisory framework.

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