Customer Service Automation · Marketing Personalization
Banca Investis wanted to modernize its service model with more frequent, higher-quality customer interactions, and it needed an AI system that could personalize investment conversations while giving bankers timely context.
Reported impact
Banca Investis launched a real-time, hyperpersonalized advisory app that improves customer dialogue quality, increases the frequency of touchpoints, and compressed ideation-to-launch time for a new AI banking experience.
Banca Investis built the NIWA app with Bain as a generative AI-based investment advisory platform that serves both customers and bankers. The application ingests more than 500 daily pieces of information and research, including customers' financial assets, characteristics, and preferences, then uses that context to generate tailored insights and market updates. It also includes a chatbot that answers questions in real time about investment portfolios and financial news, while highlighting key customer interactions so bankers can prepare follow-up engagement. In effect, the system plays the role of a digital junior banker: upstream market and customer data are processed inside NIWA, the chatbot serves personalized responses to customers, and bankers receive signals about where to deepen the relationship. The source does not identify a storage platform, but it clearly describes a production app launched in seven months with live personalization and banker-assist capabilities.
The NIWA app ingests daily research plus each customer's assets, characteristics, and preferences, processes that data into tailored insights and market news, then serves those outputs through a chatbot and banker-facing interaction highlights that support follow-up conversations.
"7 months from ideation to launch"
"The NIWA app analyzes more than 500 pieces of information and research daily"
"a chatbot that provides live, real-time answers to questions about investment portfolios and financial news"
"an AI-based investment advisory app that increases the frequency of touchpoints between customers and the bank"
"including customers' financial assets, characteristics, and preferences, to provide a hyperpersonalized experience"
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
The annual report states that as of 31 December 2021 Banca Investis and its subsidiaries had 243 dipendenti (employees), within a total of 272 risorse.
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