A practical blueprint for scaling AI in financial services

Generative AI, and increasingly AI agents, are quickly taking center stage in financial services.

What was formerly limited to experimentation has since evolved into systems capable of data analysis, real life action and large-scale decision making.

Many businesses are already feeling the effects of this transformation; according to KPMG research, more than half (51%) of the financial sector say AI is reshaping their business. On the other hand, almost three-quarters (72%) are concerned about data quality.

This is when strategic risk creeps in, stemming from fragmented or poorly governed data, that ultimately delays the transition from pilot to production.

Financial institutions must shift their focus if they want to see true value from AI. With solid data foundations that are ...