INDUSTRY SPECIFIC SOLUTIONS
Finance & Banking
Due to its quantitative nature, new AI-driven insights and accurate predictions are pivotal for the financial industry to provide customer offers and services. We have the solutions to help your business evolve and succeed.
Use cases
Fraud prediction
Identify fraud patterns, determine the level of risk and predicting future fraudulent events
Creditworthiness analysis
Determine creditworthiness by using historic data to analyze and predict default probability. Learn more
Market data cleaning
Detect anomalies (e.g., missing values) and assign abnormal values an averaged or fitted value
Settlement prediction
Predict when a settlement will be effectuated, based on current and historical settlements
Payment matching
Automate matching of incoming and outgoing payments and give the processor choices for “best fit” matches
Client reaction based on scenarios
Analyze client behavior in the different market scenarios and generate simulated market scenario predictions
Message categorization
Classify messages, emails, or documents for manual or automated processing. Learn more
Content comparison
Compare the content of documents to highlight similarities and differences
Use cases
Fraud prediction
Identifying fraud patterns, determining the level of risk and predicting future fraudulent events
Creditworthiness analysis
Determining creditworthiness by using historic data to analyze and predict default probability. Learn more
Market data cleaning
Detecting anomalies (e.g., missing values) and assigning abnormal values an averaged or fitted value
Settlement prediction
Predicting when a settlement will be effectuated, based on current and historical settlements
Payment matching
Automating matching of incoming and outgoing payments and giving the processor choices for “best fit” matches
Client reaction based on scenarios
Analyzing client behavior in the different market scenarios and generating simulated market scenario predictions
Message categorization
Classifying messages, emails, or documents for manual or automated processing. Learn more
Content comparison
Comparing the content of documents to highlight similarities and differences
MODEL LIBRARY
Ready-to-use solutions for finance & banking
With our model library, there is no need to develop everything from scratch yourself. Benefit from ready-to-use solutions, offering everything you need to kick-start and accelerate your AI projects.
PII Scanner
Governance
The Personal Identifiable Information (PII) scanner gives quick insights about PII within a directory or database
Fraud prediction
Prediction
Identify fraud patterns, determine the level of risk, and predict future fraudulent transactions
Bias manager
Governance
Ensure data sources do not lead to unknown or unintended biases
Credit rating
Prediction
Determines creditworthiness by using historic data to analyze and predict default probability
PII Scanner
Governance
The Personal Identifiable Information (PII) scanner gives quick insights about PII within a directory or database
Fraud prediction
Prediction
Identify fraud patterns, determine the level of risk, and predict future fraudulent transactions
Bias manager
Governance
Ensure data sources do not lead to unknown or unintended biases
Credit score accelerator
Model accelerator
Determines creditworthiness by using historic data to analyze and predict default probability
CLIENT CASE
Fraud detection and prevention
Knowing the likelihood of fraud in a transaction and the drivers behind it allows a company to lower its fraud rate by preventing transactions or conduct more efficient screening. 2021.AI has helped an insurance company with 30,000 cases where fraud was detected in 1,100 cases amounting to a value of 8,880,000 DKK.
Detected cases
Fraud detected
average value
per case
Estimated
fraud rate
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As the finance industry is highly regulated, governance, risk, and compliance for emerging technologies play an essential role in innovation, production, and delivering value.
Regulatory attention on emerging technologies and their applications is increasing
Organizations working with emerging technologies, such as AI, can expect more external requirements for transparency on how they use them, which will require added governance, risk & compliance capabilities.
Traditional compliance system
When it comes to monitoring and documenting the use of emerging technologies, traditional compliance systems have blind spots:
Lack transparent information about how models operate
Model results, including whether they are accurate and fair, are not tracked or measured
Producing a compliant Data Protection Impact Assessment (DPIA) is not possible
Compliance protection by design principles or guidelines are not available
GRACE’s Tech GRC system
With Governance, Risk & Compliance measures at its core, GRACE makes it easy to monitor and document how emerging technologies are applied:
Full transparency on how models operate
Solution and risk controls in place, allowing a complete overview of any operational measures of a model
Process and solution to ensure that all relevant stakeholders fill in DPIA and other mandatory assessments
Solution enhancing compliance with data protection at its core
Comply with existing and new regulations
GRACE makes it easy to build policy-guided workflows and guardrails into your AI development process to ensure adherence to laws and regulations.
Client stories
Delivering measurable business value
Discover how we help clients optimize costs, increase revenue, and address risks.
Connect with our experts
Our business experts are ready to answer your questions, provide advice, and offer insights. Please leave your contact details, and we will connect to set up a virtual one-on-one.
Bjørn Olesen
SALES DIRECTOR, 2021.AI
Bjørn has 15+ years of experience in IT implementations, for a large segment of clients. At 2021.AI, Bjørn focuses on transport and logistics industries, enabling our clients to optimize and improve their operations.