Data is centralized, allowing for timelier business intelligence that can inform product/service development, marketing campaigns, and operational efficiencies.

Data often exists in silos that are incompatible with each other. Business intelligence cannot be produced in a timely manner.

AI-based strategies

Legacy methods

Business and revenue growth

Automated data insights can allow for live decision-making capabilities, as opposed to waiting for quarterly or annual reporting.

Hidden biases and time-intensive reporting may impede the ability to pivot and make necessary business decisions quickly.

AI-based strategies

Legacy methods

Decision-making

Irregular patterns and atypical activities can be detected more quickly, allowing for a more timely response.

The ability to detect anomalies may be limited to individual systems or business units, and potentially long after an incident.

AI-based strategies

Legacy methods

Fraud prevention

Organizations can better predict and prepare for future risks, losses, and financial system stress by analyzing multiple data points and identifying potential trends or risk patterns.

Key risk indicators and patterns may not be as visible or may go unreported. Oversight on adherence to risk management policies can be more difficult to achieve.

AI-based strategies

Legacy methods

Risk management

Trends can be visualized more easily—including those that the human eye can’t capture—leading to value-added insights that improve agile decision-making.

Audits are structured as a report card, measuring performance based on compliance with existing policies, procedures, and regulations.

AI-based strategies

Legacy methods

Audit results

Processes are automated. Data is gathered using AI audit tools and analyzed against customized control points.

Traditional data gathering and analysis processes are manual, time-intensive, and onerous.

AI-based strategies

Legacy methods

Data analysis processes

Automated, regular insights based on full population sampling allows for a higher level of assurance.

Use of statistical sampling provides a limited level of assurance.

AI-based strategies

Legacy methods

Assurance quality

Data analysis processes

Assurance
quality

Risk management

Decision-
making

Business
and revenue
growth

Audit
results

Fraud
prevention

Data is centralized, allowing for timelier business intelligence that can inform product/service development, marketing campaigns, and operational efficiencies.

Data often exists in silos that are incompatible with each other. Business intelligence cannot be produced in a timely manner.

AI-based strategies

Legacy methods

Business and revenue growth

Automated data insights can allow for live decision-making capabilities, as opposed to waiting for quarterly or annual reporting.

Hidden biases and time-intensive reporting may impede the ability to pivot and make necessary business decisions quickly.

AI-based strategies

Legacy methods

Decision-making

Irregular patterns and atypical activities can be detected more quickly, allowing for a more timely response.

The ability to detect anomalies may be limited to individual systems or business units, and potentially long after an incident.

AI-based strategies

Legacy methods

Fraud prevention

Organizations can better predict and prepare for future risks, losses, and financial system stress by analyzing multiple data points and identifying potential trends or risk patterns.

Key risk indicators and patterns may not be as visible or may go unreported. Oversight on adherence to risk management policies can be more difficult to achieve.

AI-based strategies

Legacy methods

Risk management

Trends can be visualized more easily—including those that the human eye can’t capture—leading to value-added insights that improve agile decision-making.

Audits are structured as a report card, measuring performance based on compliance with existing policies, procedures, and regulations.

AI-based strategies

Legacy methods

Audit results

Processes are automated. Data is gathered using AI audit tools and analyzed against customized control points.

Traditional data gathering and analysis processes are manual, time-intensive, and onerous.

AI-based strategies

Legacy methods

Data analysis processes

Automated, regular insights based on full population sampling allows for a higher level of assurance.

Use of statistical sampling provides a limited level of assurance.

AI-based strategies

Legacy methods

Assurance quality

Data analysis processes

Assurance
quality

Risk management

Decision-
making

Business
and revenue
growth

Audit
results

Fraud
prevention