Starling has deployed an agentic "financial crime investigator" that the UK digital bank says can carry out an end-to-end investigation within 17 seconds.
Editorial
This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community.
On LinkedIn, Starling chief customer and banking officer, Bernadette Smith says that the agent is not a third-party plugin but is embedded natively directly within the bank's core engine.
"Because it sits inside the core, Starling owns the data and the model, meaning access to real-time telemetry, historical behaviour patterns, and transactional contexts—without the lag of external integration, and the ongoing frustration of change requests, external costs and development constraints," she writes.
The result, she says, it an agent that can fully investigate a transaction monitoring alert, document the entire investigation audit trail, and deliver a full decision within 17 seconds of the alert coming through.
Writes Smith: "The future of Financial Crime compliance isn't bigger analyst teams or faster rule engines—it's native, AI agents working in milliseconds."
The agent is the latest recent example of Starling's approach to AI. Last week it revealed that is working with Nvidia to build a transactional foundational model that is trained and hosted within a UK sovereign cloud.
The model is set to go into production in early 2027, initially focusing on services around fraud detection and then to augment the AI Starling Assistant. In time, the plan is to form a single intelligence layer - ‘Starling Intelligence’ - that elevates the bank’s AI capabilities and enables it to build "entirely new experiences".