HSBC tests new AI system to tackle more ‘sophisticated’ crime

British bank HSBC has converted a financial crime-spotting algorithm it was forced to build in the wake of a money-laundering scandal into one that can scope out new business opportunities, bank executives said.

The system combines data on clients’ banking activities, with public data on company ownership and directorships, to flag desirable potential clients to HSBC staff and offer ways to connect to them through existing relationships.

Using data and artificial intelligence to try and boost revenues is part of HSBC’s broader push to squeeze more out of its large physical network and client data, a key priority for interim Chief Executive Noel Quinn.

“It’s one of the first commercial uses of investment in financial crime prevention, and the business we’re getting in this way is inherently lower risk and quicker to win,” said Stuart Nivison, HSBC’s global head of client network banking.

HSBC declined to comment on how much it expects to make from the new system but said the broader ‘network income’ initiative has already yielded hundreds of millions of dollars in additional revenue.

The drive is an important part of the bank’s efforts to defend its global presence at a time when some analysts and investors are saying it should shrink or exit markets like the United States where it makes returns below its cost of capital.

HSBC was forced to invest hundreds of millions of dollars in financial crime compliance as part of a $1.9 billion settlement in 2012 with U.S. authorities over the bank’s failure to prevent money laundering by drug cartels through its Mexican unit.

The system works by mapping individual customers’ and companies ties to each other and then looking for unusual patterns of transactions or unearthing previously unknown connections between those entities.