DIGITAL BANKING
hyper-personalised, conversational interactions across channels. Domain agents execute core banking processes such as payments, lending and treasury, automating complex workflows end-to-end.
The unified AI fabric What differentiates this model is not just the presence of agents, but the orchestration layer that coordinates them. Banks are evolving from isolated intelligent components to coordinated agent ecosystems, where experience and domain agents operate in harmony through a unified orchestration fabric. This enables end-to-end execution of business processes, transforming fragmented workflows into continuous, outcome-driven value streams.
To operationalise agentic banking at scale, institutions require more than models – banks need a unified AI fabric that provides the foundational capabilities for:
• model orchestration and lifecycle management
• retrieval-augmented generation( RAG) over enterprise data
• secure model invocation and token governance
• agent coordination and telemetry
• policy enforcement and explainability.
By abstracting these capabilities into a shared layer, banks can move from fragmented AI deployments to a scalable, reusable intelligence platform.
Banks have long pursued efficiency through automation, but AI agents extend this further by orchestrating workflows across the entire value chain. Instead of optimising individual tasks, agents coordinate multi-step processes across systems and functions. For example, a lending journey can be executed seamlessly from onboarding to underwriting to disbursement, while preserving human oversight. The result is a step-change in operational performance that accelerates cycle
122 August 2026