GBST, a wealth administration software provider, has integrated agentic artificial intelligence into its Composer Software as a Service platform, enabling the automation of complex, high-volume wealth administration processes in a way that meets regulatory requirements and reduces the need for manual intervention.
Unlike conventional AI tools, which are generally used to analyse data or assist with individual decisions, agentic AI is built to execute multi-step processes from beginning to end.
GBST has designed the technology to function within defined parameters inside Composer, meaning clients can automate intricate, high-volume tasks that have historically demanded considerable human involvement. The company has completed an initial controlled release of these capabilities, developed in partnership with long-standing collaborator AWS.
A key challenge that agentic AI addresses is the absence of standardised workflows across clients, products and risk profiles, which has long made rules-based automation difficult to implement. GBST’s approach allows each client’s own operating procedures to be followed consistently and at pace, without requiring bespoke development. Human oversight remains built into the system, allowing staff to approve, intervene or review outcomes where necessary, preserving explainability, auditability and regulatory compliance.
The first live application of the technology, being run in the UK, focuses on automating pension transfer-out requests, a process involving multiple validations, checks and actions across different areas of the platform.
Tasks that previously took hours or days to complete due to queues, handoffs and dependencies can now be executed in seconds once initiated. GBST said it is now in discussions with clients about applying the capabilities to further live operational processes, with a broader rollout to follow.
GBST CEO Rob DeDominicis said, “There’s a lot of noise around AI disrupting software. In reality, in regulated, high-volume environments, it provides an opportunity to improve how work gets done. Composer is already highly automated, with around of 94% of transactions processed automatically. With the introduction of agentic AI, we can move automated processing closer to 99%, targeting the most complex, client‑specific workflows that have historically resisted automation.
“We’ve developed a scalable framework that can be applied across multiple processes and clients over time. By applying AI inside Composer, we can automate complex operational processes in a controlled and auditable way while reducing cost, delay and operational risk. That means working with each client’s own procedures, while maintaining the governance and oversight our clients require.”
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