? Can AI Chatbots Deliver Timely Insights To 1st Line OpRisk Stakeholders?
Education
Introduction
In a recent workshop led by Mano Kwall and Alina Poova in September 2024, the application of generative AI technologies for operational risk management was discussed. Mano Kwall, who serves as the Chief Risk and AI Officer at Risk Spotlight in the UK, and Alina Poova, founder of The Op Risk Company and a renowned expert in operational risk management, highlighted how AI chatbots can effectively support first-line operational risk stakeholders.
Generative AI Chatbots: A Game Changer for Operational Risk Management
AI chatbots can be designed to respond to operational risk-related queries from first-line stakeholders, a critical area where timely and accurate information is essential. With the implementation of AI-driven chatbots, first-line teams can receive high-quality responses, significantly reducing the resource burden on second-line teams. This not only streamlines communication but also improves the overall efficiency of risk management processes.
The chatbots can be trained using the specific operational risk framework, policies, and procedures of an organization. This capability ensures that responses are tailored and relevant, thereby providing stakeholders with accurate insights rather than generic information sourced from the internet.
Creating a Personalized AI Chatbot
One of the innovative examples shared during the workshop was the development of personalized AI chatbots or "co-pilots." Each department—be it HR, Marketing, or Operational Risk Management—can create its respective chatbot that understands and adheres to its specific requirements.
For instance, Mano demonstrated a chatbot named "Oprisk Teacher," designed to respond to questions about operational risk concepts. It was integrated with relevant documents, such as the Basel principles for sound management of operational risk, ensuring that the answers provided were aligned with the organization's framework and policies.
This personalized approach allows employees, particularly those new to the organization, to ask questions as they arise. For example, a new employee could inquire, "What is a control?" The co-pilot would not only provide a definition but also offer a detailed explanation of various types of controls along with practical examples related to the organization’s practices.
Enhancing Efficiency with Co-Pilots
These AI chatbots can also function within collaboration platforms like Microsoft Teams. By introducing operational risk-specific chatbots in Teams, organizations can improve response times to queries. Instead of routing questions through a human intermediary, employees can easily interface with the chatbot, obtaining information quickly based on the organizational framework.
This strategy can save significant hours for second-line operational risk teams, allowing them to focus on more strategic tasks instead of answering repetitive queries. As these chatbots operate from a repository of internal risk management policies, the quality and relevance of the answers provided remain high.
Conclusion
The development of AI chatbots for responding to first-line operational risk management queries is one of over 100 innovative use cases explored by the Risk Spotlight team. By leveraging generative AI tools, organizations stand to enhance both the productivity and quality of their operational risk management activities.
To delve deeper into these use cases, interested parties are encouraged to reach out to Mano Kwall at mon.kwall@riskspotlight.com for a complimentary 60-minute consultation.
Thank you for your time and attention!
Keywords
- AI Chatbots
- Operational Risk Management
- First-Line Stakeholders
- Generative AI
- Co-Pilots
- Personalization
- Risk Framework
- Risk Policies
FAQ
Q1: What are AI chatbots used for in operational risk management?
A1: AI chatbots are used to provide timely and accurate responses to operational risk-related queries from first-line stakeholders, aiding in efficient risk management communications.
Q2: How do personalized AI chatbots work?
A2: Personalized AI chatbots, or co-pilots, are tailored to specific departments and can provide relevant answers based on internal policies and documentation instead of generic internet information.
Q3: What benefits do these chatbots offer?
A3: These chatbots enhance response efficiency, reduce the workload on second-line teams, and ensure that stakeholders receive high-quality, organization-specific answers to their queries.
Q4: Who can benefit from implementing these chatbots?
A4: Organizations across sectors, particularly those involved in operational risk management, can benefit from implementing AI chatbots for improved communication and risk management efficiency.