GBST has built and deployed agentic AI into its Composer platform to automate high-volume administration processes.
Agentic AI is a type of AI designed to perform tasks independently, rather than just responding to commands or generating content.
Traditional AI is typically used to analyse data, make predictions, or support individual decisions within a process.
Agentic AI is designed to execute a sequence of steps end to end. By designing agentic AI to operate within Composer, GBST’s clients can automate complex, high-volume wealth administration processes that currently require manual intervention.
GBST’s agentic AI can carry out client-specific operating procedures consistently and at speed without bespoke development, incorporating human oversight where required to approve, intervene or review outcomes.
The fintech said its use of agentic AI ensures automation can scale without compromising explainability, auditability or regulatory compliance.
Rob DeDominicis, CEO of GBST, 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.”
For its first controlled release, the agentic AI has been used to automate pension transfer-out requests, which require multiple validations, checks and actions across different parts of the platform.
Following the success of the controlled release, GBST is now working with clients to apply the agentic AI capabilities to liver operational processes.
GBST’s cloud-based Composer wealth and administration platform is designed to streamline investment, pension and annuity management for financial services firms. GBST claims that around £210bn of assets are managed on Composer.