Backbase is excited to announce a major expansion of the Engagement Banking Platform with the introduction of the Intelligence Fabric layer, a powerful set of data and AI infrastructure and development capabilities that are now natively embedded in the platform. This groundbreaking launch is set to redefine how banks can harness the power of data and AI to unlock significant productivity gains within their business-critical customer servicing and sales operations.
AI is already playing a pivotal role in transforming banking, driving efficiency, improving risk management, and orchestrating contextual, relevant customer experiences. As the AI super-cycle continues to reshape the financial landscape, Backbase is rising to meet these challenges head-on with the introduction of the Intelligence Fabric.
Introducing Agentic AI for banking
With the new Intelligence Fabric, Backbase will enable banks to implement Agentic AI capabilities that unlock massive productivity gains across all their critical service and sales operations. Using advanced reasoning and grounded in cross‑bank data through the Backbase platform, banks can now create AI Agents that augment and orchestrate customer journeys in tandem with underlying workflows, integrations, and real-time data interpretation.
Gartner® predicts that by 2028, one third of interactions with GenAI services will invoke action models and autonomous agents for task completion. With unified, real-time access to bank-wide data, knowledge, tools, and workflows on the Engagement Banking Platform, Backbase AI Agents can understand and interpret contextual information to provide personalized responses. They can also execute action plans, from handling small tasks like transaction search or bill payment scheduling to managing entire processes such as customer onboarding. Ultimately, the AI Agents have the potential to reinvent customer journeys and workflows across the bank. Built-in guardrails will provide robust oversight, allowing banks to implement strict levels of compliance and governance.
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Jouk Pleiter, Founder and CEO at Backbase, commented, “Backbase is leading the way with its AI platform capabilities for banking. The introduction of the Intelligence Fabric marks a pivotal moment in our mission to empower banks to harness the power of data and AI at scale. Today, we are making a massive leap forward in unveiling our Agentic AI strategy. We see a future where AI Agents will work autonomously in the background, handling tasks, managing processes, and collaborating with customers and employees. The adoption and evolution of these new-gen, super-powerful agents will dramatically reduce internal and external labor spend on overheads such as sales, marketing, customer service, and compliance operations.”
Leveraging data connectivity with Grand Central integration platform
The Intelligence Fabric leverages Backbase’s Grand Central — the world’s first Integration Platform-as-a-Service for banking — which seamlessly unifies data from diverse sources, including core banking systems, payment gateways, fintech capabilities, and non-fintech systems like CRMs. This robust integration platform provides a single source of truth for banks, consolidating data from all these sources. Additionally, this enhancement allows for democratized data, making it accessible to not only Backbase, but also banks, their partners, and vendors.
AI-driven customer engagement orchestration
Backbase is prioritizing the availability of AI-Agent capabilities for the following use cases:
- Conversational Banking: leverage large language models (LLMs) to handle daily banking tasks like accessing accounts, making payments, checking transaction histories, and managing cards across digital channels.
- Customer Lifetime Orchestration: create AI-driven product activation and up-sell campaigns that enable the bank to increase the product holding per customer. AI-driven predictive nudges will provide contextual guidance to customers, promoting relevant new products such as credit cards, loans, savings, investing, and insurance, all based on customer behavior and financial history.
- Advanced Financial Insights: harness AI and machine learning models to analyze customer data and behavior, providing actionable insights such as early warning indicators for retail customers, cash-flow forecasting for SMBs, and customer health and viability information for relationship managers.
SOURCE: GlobeNewswire