Abaka AI: The artificial intelligence platform

The Fintilect Abaka AI platform is an artificial intelligence recommendation engine enabling the financial services industry to recognize customers as individuals and deliver highly engaging hyper-personalized digital experiences that resonate and create better outcomes.

Our AI platform for banking analyses customer activity, including lifestyle, behavioral, transactions and preferences data and creates segmentation at an individual level. Customers are engaged through their channel of choice with content and messaging that is most likely to resonate and receive positive outcomes.

AI is transforming the financial services sector. You don’t want to miss out.

How our services can unlock AI's full economic value

We simplify the development and deployment of ML algorithms by guiding clients through challenges like data collection, quality assurance, privacy, bias, ethical considerations, algorithm selection, and continuous training to ensure their models remain relevant and effective.

We assist clients in maintaining a high-quality data ecosystem by streamlining data management across disparate sources and legacy systems, while addressing privacy, security, and governance challenges effectively

We support clients in managing workforce transitions by providing guidance and resources for investing in employee training, skill development, and job role adaptation as they adopt AI technology.

Key features of the Fintilect Abaka AI Platform

The Fintilect Abaka AI platform is a proven AI-recommendation engine in production with global banks and insurers, constantly learning from our vast ecosystem of clients, customer data and financial products. It addresses the need for delivering personalized customer life journeys with highly engaging digital experiences.

We create a single data ecosystem

Vast amounts of online client data are brought into a single data ecosystem via easy plug-and-play and file transfers. The creation of this ecosystem provides financial institutions with more than 200 identifying features and a new data set that can be prepared for analysis.

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We turn this vast data into a specific picture

We correlate the numerous digital data footprints consumers leave online, typically around 12,000GB of data per year, which by 2025 is estimated to be 50,000GB per year. We cover six dimensions, each with multiple subcategories: Behavioural; Social; Emotional; Financial; Health; and traditional personal data to pull together a fully rounded picture of a client.

We combine behaviour traits

Our machine learning models combines the data with key behavioural traits across Fear of Missing Out, Fear of Losing Out, Staying in Control, Indecision and Fear of the Unknown. These machine learning models provide continuous customer understanding at a micro level and can be deployed at scale.

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We then create magic for financial institutions

The data generated allows financial services providers to reach each customer with the message and channel that are most likely to resonate and activate a positive response.

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Templated recommendations and digital experiences

Once a particular product has been identified to recommend to which customer and when, Abaka AI will select the right marketing template consisting of the right wording, image, tone, content, and delivery channel.

The correct identification of this has proven to have a material impact on the product conversion and subsequent customer engagement.

We offer a carefully crafted library of 5000 pre-curated marketing templates that will engage a customer with the relevant recommendations to create a positive personalized digital experience.

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Front-end delivery:

Through Webviews
APIs
White-labeled App
Intuitive UI

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Languages:

Available in English, French, Thai, and Traditional Chinese
Our team will coordinate and managing translations to new languages if required

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Channels:

SMS
Email
Push
In-app notifications

Conversational AI

Conversational user interface and chatbot framework that impersonates a financial assistant for guidance on life assurance, retirement, savings, investments and other banking products, for both fully digital and hybrid advice (advisor handoff, live on chat or on booking meeting).

Our proprietary Natural Language Processing models take vast quantities of user behavioural and financial data to intelligently manage human like conversations and can hand-off to an advisor.

FAQs

AI-powered banking integrates artificial intelligence technologies into financial services, transforming customer interactions and improving operational efficiencies. Platforms like Abaka AI use machine learning to analyze vast datasets, including customer behavior, transaction history, and personal preferences, enabling banks to deliver hyper-personalized experiences.

This technology fosters personalized engagement by recognizing customers as individuals rather than mere data points. Advanced analytical tools generate insights that inform banks on how to best serve their clients. AI’s continuous learning capability ensures that recommendations evolve with customer needs, while engaging them through preferred channels like SMS and email. Ultimately, AI-powered banking aims to enhance customer satisfaction and improve business outcomes for financial institutions.

AI banking solutions effectively tackle various challenges within the financial sector. One major issue is data management; AI streamlines data collection and integration from multiple sources, creating a unified ecosystem that eliminates silos and ensures high-quality data for analysis.

AI also enhances customer engagement by analyzing behavior and preferences to deliver targeted marketing and product recommendations, increasing conversion rates. Additionally, it automates routine tasks, allowing banks to reduce operational costs and enable staff to focus on more complex issues.

Moreover, AI provides valuable insights into customer behavior for more effective segmentation and tailored offerings. It also assists institutions in managing workforce transitions by offering resources for employee training and skill development. Finally, AI strengthens data privacy and security through continuous transaction monitoring, reducing fraud risks and ensuring regulatory compliance. Overall, AI-powered banking solutions significantly enhance customer experiences, operational efficiency, and data management while addressing critical industry challenges.