Use-case category

Prudential supervision of banks and non-bank deposit taking institutions

Suptech allows financial authorities to enhance data collection and analytics for both macroprudential and microprudential supervision

2,731 curated resources

Use cases

Latest resources

  • Tool for Corporate Telephone Survey automation

    Solution

    The European Central Bank is integrating large language models into its Corporate Telephone Survey workflow to automate transcript summarisation and support consistent scoring of qualitative…

  • State Examination System (SES)

    Solution · 19 February 2020

    SES is an examination system built by state regulators for state regulators and the companies they supervise. It is the only nationwide system connecting agencies and companies in the examination…

  • SupTech Week 2024: State of SupTech in Asia Pacific

    Video · 12 December 2024

    Session description: The Asia-Pacific region is at the forefront of digital transformation, with diverse financial ecosystems presenting unique opportunities and challenges. Suptech offers…

  • Privitar proof of concept

    Solution · 9 June 2017

    The Bank of England undertook a Proof of Concept (POC) with Privitar to further improve its understanding of the tools and technologies used in desensitisation, and to what extent this can play a…

  • Digital Reasoning proof of concept

    Solution · 3 May 2018

    This proof of concept involved using a machine learning solution to ingest and classify large amounts of weakly-structured data. The aim was to assess the effectiveness of the software in drawing out…

  • Experimentus proof of concept

    Solution · 9 July 2017

    This proof of concept applied Experimentus’ ORB tool to analyse historic Bank of England projects to visualise how they had performed against a range of standard key performance indicators.

  • Chain proof of concept

    Solution · 27 March 2018

    In this Proof of Concept (PoC) with Chain, the Bank of England wanted to explore how distributed ledgers could potentially be configured to enable privacy amongst participants whilst keeping data…

  • Machine Learning at Central Banks

    Report · 6 September 2017

    We introduce machine learning in the context of central banking and policy analyses. Our aim is to give an overview broad enough to allow the reader to place machine learning within the wider range…

  • RegTech and SupTech in central banks survey

    Survey · 30 April 2024

    A 2024 survey by Central Banking of 15 authorities across the Americas, Asia Pacific, Middle East, Africa, and Europe found that over half of respondents are already using regtech and suptech, with…

  • Webinar - Post-Mortem: Basel IV & CRR3

    Event · 23 February 2026

    This webinar explored the implementation of the Basel IV framework, also known as Capital Requirements Regulation III and Basel 3.1, and its impact on modern bank capital strategies. As one of the…

  • Webinar: Straight Through Reporting (STR) in action

    Event · 25 January 2026

    This webinar examined the growing shift toward Straight Through Reporting (STR) as the next stage in regulatory reporting transformation. Inspired by the success of Straight Through Processing, STR…

  • Webinar: Lessons from the frontlines of transformation

    Event · 19 January 2026

    This webinar explored the realities of driving large-scale operational transformation in financial services, highlighting that successful change requires more than advanced technology. Drawing on…

  • Webinar: Granular by design

    Event · 13 January 2026

    This webinar highlighted the global shift in financial regulation from template-based reporting toward granular, standardized data models that enable more accurate, timely, and adaptable reporting.…

  • Putting AI agents through their paces on general tasks

    Report · 20 January 2025

    Multimodal large language models (LLMs), trained on vast datasets are becoming increasingly capable in many settings. However, the capabilities of such models are typically evaluated in narrow tasks…

  • Artificial intelligence and human capital: challenges for central banks

    Report · 24 April 2025

    90% of surveyed central banks struggle to recruit and retain AI specialists, with institutions caught between private sector salary competition and regulatory hiring constraints. As central banks…

  • Toronto Centre Hosts Virtual Executive Panel on Emerging Technologies in Central Banking (Feb 25, 2026)

    Event · 24 February 2026

    Toronto Centre hosted a Virtual Executive Panel: Innovation at the Frontier on February 25, 2026, exploring how emerging technologies, particularly artificial intelligence, are reshaping central…

  • Toronto Centre to Host Crisis Preparedness Program in Cape Town (May 25–29, 2026)

    Training · 24 May 2026

    Toronto Centre will host the Certified Financial Supervisor (CFS) Level 1 – Crisis Preparedness Program from May 25 to May 29, 2026 in Cape Town, South Africa. This intensive week-long program will…

  • Toronto Centre Hosts Effective Supervision Program (Apr 20–24, 2026)

    Training · 19 April 2026

    Toronto Centre will host the Certified Financial Supervisor (CFS) Level 2 – Effective Supervision Program from April 20 to April 24, 2026, delivered virtually via Zoom. The program is designed to…

  • Fraud Vulnerability Index

    Solution · 1 June 2023

    A fraud vulnerability index provides an objective measure of susceptibility of a bank to any kind of frauds viz. credit, cyber, staff etc. The model uses machine learning techniques to assess…

  • RBNZ Nowcasting Models

    Solution · 14 April 2025

    The Reserve Bank of New Zealand (RBNZ) Nowcasting Models framework integrate advanced econometric and machine-learning approaches to deliver real-time estimates of economic activity. At its centre is…

  • Nowcasting New Zealand GDP using a dynamic factor model

    Report · 14 April 2025

    This Note explains the dynamic factor model which joins the suite of models that the Reserve Bank of New Zealand – Te Pūtea Matua utilises to nowcast GDP growth in New Zealand. It also serves as the…

  • Nowcasting New Zealand GDP using machine learning algorithms

    Report · 22 July 2018

    This paper examines whether machine learning algorithms can improve nowcasts of real GDP growth in New Zealand. It uses a large real-time dataset of around 550 New Zealand and international…

  • Nowcasting GDP using machine learning algorithms: A realtime assessment

    Report · 31 October 2019

    Can machine-learning algorithms help central banks understand the current state of the economy? Our results say yes! We contribute to the emerging literature on forecasting macroeconomic variables…

  • Alya

    Solution · 1 January 2023

    The Bank of Portugal’s Artificial Intelligence Initiative centres on Alya, an innovative AI platform launched in 2023 (seeded in 2019) that automates and enhances core central banking functions. Alya…

Showing 1,393–1,416 of 2,731 resources.