Accelerate Financial Crime Compliance

When implementing enterprise software solutions, a disproportionate amount of time and money is spent performing source data analysis, mapping, and transformation. Though onerous, this exercise is incredibly important as the ultimate effectiveness of the system is highly dependent on the quality of the underlying data.

CartographAI automates the generation of data pipelines to leading FCC applications by pairing subject matter expertise with artificial intelligence.

Discover

Discover analyzes unknown data sources to provide concise yet meaningful descriptions, actionable profiling metrics, and measurable data quality.

Map

Map leverages an extensive rule library, curated by product and domain experts, to recommend source to target data model mappings.

Transform

Transform automatically generates data pipelines while enforcing strict data governance, reconciliation, and completeness checks.

LexisNexis Risk Solutions released its annual report detailing the “True Cost of Financial Crime Compliance”. The 2023 study revealed that FCC costs companies $206.1 billion globally, and the driving force behind the surge is the rising price of expertise and technology.

Common use cases

  • CartographAI accelerates the initial implementation of new Financial Crime Compliance applications, where all the data needs to be sourced, mapped, and transformed into the target data model, by 25-50%.

  • 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 data feeding Financial Crime Compliance applications.