Our software is powered by the latest AI technology and incorporates proprietary insights derived from regulatory, compliance, and operational expertise to tackle some of the riskiest, most expensive client-centric challenges.
Whether we're working with complaints, policies, or text needing translation, you identify the data that will be processed using our tool.
Our proprietary model and workflows manage ingesting and processing the data.
Complaint insights are available in near real-time through our dashboard or can be sent directly to your case management system. Translated text is provided via UI or API-based updates to your CMS. And policies we process get a chat-like interface that can be provided to your staff.
Our team includes industry veterans with a combination of regulatory, technical and AI expertise. We fuse together the latest developments in generative AI with deep knowledge of the banking regulatory and compliance landscape in our software for banks and fintechs.
Earlier this month, Fannie Mae published its latest “Fair Servicing Best Practices” for Mortgage Servicers. In it, it issued what is perhaps the most affirmative guidance we have seen in this space encouraging services to, among other things: create a language access plan, provide materials and websites in languages other than English, monitor calls and complaints from non-English speakers for trends, and even “use technology to identify a consumer’s preferred language.” Fannie’s guidance seems to be a natural evolution of...
The CFPB enforcement team is on a roll and set to get supercharged in 2024. In a blog post last week, the Bureau covered highlights of the 29 enforcement actions brought in 2023, which resulted in more than 3 billion dollars in consumer compensation and almost half a billion in civil penalties. The post also announced that they would be “significantly expanding [their] enforcement capacity in 2024.” That expansion will reportedly increase the enforcement staff by 50% and create an additional litigation team.
When it comes to banks and chatbots, it may feel like what’s old is new again. Just six years ago, it seemed like the chatbot buzz was everywhere as banks started considering how the then-current natural language processing technology would power a new generation of digital customer interactions. The buzz quickly receded, though, as the limitations of that technology became clear. With ChatGPT as an example of broader large language models (LLMs), the chatbot narrative for banks has been rebooted...