Financial Crime Compliance
CartographAI accelerates and improves integration with all FCC applications through AI-enabled data discovery, mapping, and transformation.
Cost of Compliance
- Financial Crime Compliance costs companies more than $200 billion globally.
- The driving force behind these surging costs is the rising price of expertise and technology.
- Despite record setting investments, companies continue to struggle with inefficient and ineffective programs, commonly citing data.
- Data quality has a profound impact on system stability, investigation efficiency, and alert accuracy.
Why Choose CartographAI?
Domain Experts. AI Innovators.
Enterprise-Grade Builders.
Our core team brings together decades of experience in:
-
AML & FCC
software applications -
Database design, admin
& secure architecture
-
AI/ML & LLM
product development -
C-level leadership across risk,
compliance, audit & technology
Use Case
Description
CartographAI Advantage
New Implementations
Accelerate the implementation of Financial Crime Compliance applications, where all the data must be newly sourced, mapped, and transformed into the target data model, by up to 50%.
AI-enabled data discovery, mapping, and transformation accelerates and improves integration with all FCC applications.
Additional Feeds
Adding new source data pipelines into an existing ecosystem is quick and easy. Though the effort for a single source may be smaller, the frequency with which this occurs is higher.
Rapid integration of new data sources through intelligent data mapping.
Data Validations
Regulators, auditors, model risk management teams, and other stakeholders are increasingly taking a microscope to the end-to-end lineage of the data feeding Financial Crime Compliance applications.
Ensures traceable, validated, and transparent data lineage for audit and compliance requirements.
Architecture Redesigns
Stale, obsolete, or inherited data architecture demands a thorough redesign. Leverage a blend of domain expertise and artificial intelligence to build for the future.
Utilizes AI and domain knowledge to redesign robust, future-ready data architectures.
Use Case
New Implementations
Additional Feeds
Data Validations
Architecture Redesigns
Description
Accelerate the implementation of Financial Crime Compliance applications, where all the data must be newly sourced, mapped, and transformed into the target data model, by up to 50%.
Adding new source data pipelines into an existing ecosystem is quick and easy. Though the effort for a single source may be smaller, the frequency with which this occurs is higher.
Regulators, auditors, model risk management teams, and other stakeholders are increasingly taking a microscope to the end-to-end lineage of the data feeding Financial Crime Compliance applications.
Stale, obsolete, or inherited data architecture demands a thorough redesign. Leverage a blend of domain expertise and artificial intelligence to build for the future.
CartographAI Advantage
AI-enabled data discovery, mapping, and transformation accelerates and improves integration with all FCC applications.
Rapid integration of new data sources through intelligent data mapping.
Ensures traceable, validated, and transparent data lineage for audit and compliance requirements.
Utilizes AI and domain knowledge to redesign robust, future-ready data architectures.
Reimagine your data journey now
