Artificial Intelligence
Turning a concept into added value for Risk and Customer Centricity
At Q-Lana, we are continuously exploring ways to enhance our platform through the integration of Artificial Intelligence (AI). Our research and development efforts focus on both advisory services and permanent solutions within the platform, aiming to harness AI’s potential to improve efficiency, risk management, and customer relationships.
Artificial Intelligence (AI) in Sector Assessment
- Automates research and evaluation processes to enhance sector analysis.
- Use Cases:
- Identification of key risk factors specific to sectors and countries.
- AI-generated sector assessment templates customizable by institutions.
- Real-time monitoring for up-to-date risk assessments.
AI in Relationship Management
- Structures and analyzes proprietary customer relationship data.
- Use Cases:
- Client relationship summary for new relationship managers.
- Instant client risk assessment using current and historical data.
- Business potential planning through sector and peer analysis.
- Ad hoc meeting reports with risk profiles and recommendations.
AI in App Configuration
- Rapid development of business management apps (e.g., inventory management) for clients.
- Improves business data for better financial analysis and informed lending decisions.
AI in Platform Installation
- Conversational AI for streamlined, faster platform rollouts.
- Natural language interaction for easier platform setup and improved user experience.