By integrating Kasisto’s financial-grade conversational AI into its flagship Banking OS, Backbase offers African financial institutions a fast-track bypass around costly legacy infrastructure, turning customer intent into automated, compliant execution.
In a milestone move set to reshape the fintech landscape, engagement banking platform Backbase has announced the acquisition of Kasisto, a pioneer in banking-grade agentic artificial intelligence. With this deal, Kasisto’s specialized platform, financial intelligence models, and New York-based team are officially integrated into Backbase and its AI-native Banking OS.
The strategic acquisition comes hot on the heels of a revealing industry survey by African Banker magazine and Backbase. Polling 277 banking executives across Africa, the research pinpointed legacy system integration as the single biggest barrier to AI adoption on the continent. While agile, cloud-native fintechs and mobile money operators scale at lightning speed, established traditional banks have found themselves anchored down by decades-old, expensive-to-maintain core IT systems.
For African financial institutions operating in high-growth, mobile-first markets, the cost of legacy maintenance is more than a financial drain; it is an existential growth issue.
According to Ayman Daoud, Vice-President of Africa regions at Backbase, many traditional banks fall into the trap of deploying AI in isolated silos.
“We see too many banks build AI in isolated pockets, like a chatbot in digital self-service or automation in the contact centre, without resolving the disconnect between those teams and back-office operations,” Daoud explained.
By embedding Kasisto’s reasoning AI directly into the core operating model, Backbase aims to solve this fragmentation. The system goes beyond basic conversational prompts; it doesn’t just answer a customer query; it coordinates and completes the actual backend work under strict regulatory governance and compliance frameworks.
Unlike generic large language models (LLMs) that pose compliance and hallucination risks, Kasisto’s platform KAI is purpose-built for regulated financial environments. It utilizes specialized financial intelligence models capable of understanding complex banking contexts, applying institutional judgment, and operating strictly within compliance parameters.
The platform already boasts proven success across Africa, having been deployed by major institutions like Absa and Nedbank. Notably, Nedbank leveraged the technology to slash live agent conversations by half within just one year of deployment.
When combined with Backbase’s engagement-layer Banking OS, KAI translates customer intent straight into governed execution, verifying eligibility, applying corporate policies, and triggering complex backend workflows without manual handoffs. The result is proactive, compliant engagement that resolves customer needs before they even escalate into heavy inbound service requests.
Lance Berks, CEO of Kasisto, emphasizes that agentic AI will dictate how banks compete over the coming decade.
“Africa is particularly well-placed to leapfrog western banks with decades-old core systems,” Berks noted. “Backbase and Kasisto give those institutions purpose-built agentic intelligence from day one, rather than retrofitting it onto legacy infrastructure later.”
By pairing Backbase’s front-end engagement mastery with Kasisto’s transactional, reasoning AI, African banks now possess a realistic, accelerated pathway to bypass multi-year, high-failure IT modernization cycles, ushering in a new era of agile, competitive banking across the continent.
