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

ASSET STORE

Ready-to-use solutions for finance & banking

With our Asset Store, 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

Model accelerator

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.

Roland Sapsford, Sales Executive at 2021.AI

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:

K

Lack transparent information about how models operate

K

Model results, including whether they are accurate and fair, are not tracked or measured

K

Producing a compliant Data Protection Impact Assessment (DPIA) is not possible

K

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:

L

Full transparency on how models operate

L

Solution and risk controls in place, allowing a complete overview of any operational measures of a model

L

Process and solution to ensure that all relevant stakeholders fill in DPIA and other mandatory assessments

L

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.

Roland Sapsford

Roland Sapsford

SALES EXECUTIVE, 2021.AI

Roland has more than 30 years’ experience working in financial software, bringing innovation and automation to highly regulated environments. He is an ex-banker who helps institutions leverage the value out of new technology.

Jens Nielsen

Jens Nielsen

SALES EXECUTIVE, 2021.AI

With an extensive background in the financial industry, Jens is an expert in supporting clients to leverage their historical data.