ROStrategy.com

AI in the energy sector – OFGEM feedback

For those that missed it a summary of the responses from the OFGEM consultation on the use of AI in the engery sector.Training, digital and transparency were all themes, but what was interesting was also the importance of third party and supply chain risk as use starts to expand. Governance and policy is going to start to be increasingly important to stay ahead in this area.https://consult.ofgem.gov.uk/energy-technologies/ai-in-the-energy-sector-guidance-consultation/consultation/published_select_respondent Key Take Aways Broad agreement with Ofgem’s principles-based, pro-innovation approach, but qualified this with… Read more

AI Voice Agents in Debt Collections – 2025

An updated summary of the use of Voice AI Agents within the arrears management and collections process. Currently a hot topic, the briefing covers some of the major considerations when looking at this sector. Executive Summary Artificial‑intelligence (AI) voice agents are reshaping UK debt‑collection operations. Early adopters report operating‑cost reductions of up to 40 percent and recovery uplifts of 10–80 percent, while maintaining or improving customer satisfaction. Voice‑driven automation now covers high‑volume, low‑complexity interactions—reminders, identification, payment capture—freeing human agents for complex negotiations and… Read more

Customers in Arrears: Australian and UK Legislation – A Comparison – 2025

An updated summary and comparison of regulations and constraints for arrears management, in financial institutions in Australia and the UK. Some very similar themes, albeit with some differences in areas of specific thresholds for calls. Introduction In Australia, a framework of laws, regulatory guidelines, and industry codes governs debt collection and arrears management in banking. These rules aim to ensure fair treatment of customers, protect privacy, and set standards for communications and data handling. This paper summarizes key Australian legislation… Read more

Insights: RegTech and Regulatory Change Report 2024

Summary Authored by Grant Thornton, this report provides key insights into the regulatory technology (RegTech) landscape in the UK financial services sector. Based on a survey of 119 risk and compliance professionals, it analyzes trends, challenges, and the adoption of RegTech solutions aimed at addressing evolving regulatory obligations. The report serves as a guide for financial institutions seeking to enhance compliance through innovative technology solutions. Key Take Aways Increased Regulatory Obligations: 77% of respondents anticipate more regulatory obligations in 2024,… Read more

Insights: Generative AI in Action – Opportunities & Risk Management in Financial Services

Summary This report, authored by UK Finance and Accenture, evaluates the adoption of generative AI in financial services, with a focus on practical applications, risk management, and regulatory considerations. It outlines seven prevalent use cases and examines risks associated with integrating AI technology, providing case studies to demonstrate current implementations. Key Take Aways Use Cases: AI is applied in areas such as customer service automation, fraud detection, and regulatory compliance.Adoption Trends: 12% of technology budgets were allocated to generative AI… Read more

Insights: FCA – A Pilot Study into Bias in Natural Language Processing

Summary This research note, authored by the Financial Conduct Authority (FCA), investigates bias in word embeddings, a fundamental technology in natural language processing (NLP). The study explores how biases related to gender, ethnicity, age, and other demographic factors are encoded and how effectively these biases can be mitigated through techniques like Hard Debiasing. The document is part of FCA’s efforts to foster safe AI use in financial services, aligned with regulatory frameworks like the Consumer Duty. Key Take Aways Bias… Read more