Financial Crimes Investigation

Automate Financial Crime Investigation through artificial intelligence to increase efficiency and reduce cost.

What's Involved?

The implications of a financial crime on a financial institution are huge in terms of cost and reputation. To be able to prevent or detect a financial crime early enough, it is imperative to have robust internal systems and accurate data. This also requires early detection of complex patterns. NextAngles enables this through a disruptive solution specially designed for prevention and early detection of financial crimes.

Automate Financial Crime Investigation through artificial intelligence to increase efficiency and reduce cost.

What's Involved?

The implications of a financial crime on a financial institution are huge in terms of cost and reputation. To be able to prevent or detect a financial crime early enough, it is imperative to have robust internal systems and accurate data. This also requires early detection of complex patterns. NextAngles enables this through a disruptive solution specially designed for prevention and early detection of financial crimes.

Automate Financial Crime Investigation through artificial intelligence to increase efficiency and reduce cost.

What's Involved?

The implications of a financial crime on a financial institution are huge in terms of cost and reputation. To be able to prevent or detect a financial crime early enough, it is imperative to have robust internal systems and accurate data. This also requires early detection of complex patterns. NextAngles enables this through a disruptive solution specially designed for prevention and early detection of financial crimes.

The Process

illustration of the process

The Process

illustration of the process

The Process

illustration of the process

What We Can Do

illustration of the key performance indices

What We Can Do

illustration of the key performance indices

What We Can Do

illustration of the key performance indices

How Do You Benefit?

  • NextAngles crawls through transaction data, transaction history and profile data to source relevant information and help detect patterns of possible financial crimes
  • Investigators can create granular queries in the system to fetch more relevant data
  • Negligible dependency on internal IT department