(within 18 words)

A1. Financial Wellbeing ( → View the Scenarios)
- Assisting customers in obtaining control over their finances through tracking of expenses by utilising management platforms

A2. Footprint Tracking / Evaluation ( → View the Scenarios)
- Learning about customers’ digital footprint for new business opportunities, personalised services, and reduce drop-off rate

A3. Knowledge Base ( → View the Scenarios)
- Increase productivity, efficiency, performance and improved customer service through organised data storage that contains relevant information to improve business processes

A4. News and Trend Insights  ( → View the Scenarios)
- Improving the collection, management and analysis of critical data and trends

A5. NFTs, Web3 and the Metaverse ( → View the Scenarios)
- Exploring potential business and marketing opportunities relevant for the banking and financial services sector, in or through Web3 the Metaverse and encompassing NFTs, Web 3 and the Blockchain

A6. Precision Targeting  ( → View the Scenarios)
- Embracing a digital-first marketing approach to increase personalisation for customers and also maximise business acquisition

B1. Early Warnings  ( → View the Scenarios)
- Notices to flag payments and high-risk transactions that are suspected of being fraudulent, so financial institutions can reduce risk to customers and its own business

B2. Fraud & Mule Account Detection and Visualisation ( → View the Scenarios)
- Investigating existing and innovative technologies - such as AI and Big Data - to reduce the risk of fraudulent financial activity through detection via relational network data and interactive data visualisation tools

B3. Impersonate Risk  ( → View the Scenarios)
- Improving cybersecurity and authentication measures through AI technology to reduce fraudulent activity protecting the customer and business

B4. Staff Data Leakage  ( → View the Scenarios)
- Tightening internal cybersecurity through adoption of new technologies to reduce the breaching of confidential data by employees

B5. Transaction Monitoring  ( → View the Scenarios)
- Identifying, mitigating and managing suspicious activity and transactions

B6. Detecting Potential Fraud Signals from Unstructured Data ( → View the Scenarios)
- Automating and improving the detection of potential fraud screening process in unstructured data

C1. Blacklist Management  ( → View the Scenarios)
- Automating the process of blacklist updating to enhance efficiency, saving on manual labour and reducing human error

C2. Due Diligence ( → View the Scenarios)
- Digitalising the due diligence process and enhancing the system for efficient data collection and reduction of manual work

C3. Name Screening ( → View the Scenarios)
- Streamlining the name screening process by using AI-related tools

C4. Suspicious Transaction Reporting  ( → View the Scenarios)
- Automating the collection and extraction of customer information data to reduce human error

C5. Transaction Monitoring ( → View the Scenarios)
- Reducing false positive alerts by investing in a system that helps identify, mitigate and manage money laundering and suspicious transactions

D1. Alternative Risk Assessment / Risk-Based Pricing  ( → View the Scenarios)
- Leverage out-of-the-box information to formulate holistic profiles for effective risk decision making

D2. Compliance Risk - Customer Endorsement ( → View the Scenarios)
- Creating additional value with alternative data collection under data security and privacy regulations through customer consent, enabling banks to provide more personalised services to clients

D3.Credit Spread Market Information ( → View the Scenarios)
- Decreasing overall costs for banks by accurately tracking the credit spread movement of bonds in repurchase transactions, allowing the speedy analysis of credit profiles

D4. Legal Risk ( → View the Scenarios)
- Investigating the use of AI to ensure communication between stakeholders about local laws and regulations remains accurate and consistent according to the Country Addendum and group requirements

(Max. 5 tags that best describe your company, e.g. #AntiMoneyLaundering #AppliedAI #DataIntelligence #DataVisualisation #NLP)