25 February 2026: Sydney – GBST has appointed Jai Swaminathan as AI Transformation Lead, a newly created role designed to accelerate the company’s adoption of artificial intelligence across its global operations and product suite.
Based in Sydney, Jai will oversee the development and execution of GBST’s enterprise AI strategy, driving initiatives across internal productivity, product innovation and governance. The appointment advances GBST’s progress in scaling AI-driven solutions, with a clear focus on embedding these capabilities into the core workflows used by wealth management and financial services organisations
In the near term, this includes the rollout of AI-enabled capabilities within GBST’s flagship Composer platform, including a knowledge assistant and agentic automation to support multi-step back-office processes. These enhancements are being developed with strong governance, human oversight and enterprise-grade security as foundational principles.
Rob DeDominicis, CEO of GBST, said:
“Jai’s appointment accelerates our efforts to apply AI where it can drive real operational value, aligning with our broader global strategy to modernise our platforms and operations, while maintaining the reliability and trust clients expect in highly regulated markets.
“AI is rapidly becoming a core capability for our clients, but adoption in regulated environments demands discipline, transparency and trust. This role ensures AI at GBST is applied where it delivers meaningful impact – supporting complex workflows, improving consistency and enabling scale, while keeping people firmly in control.”
Jai brings extensive experience in AI-enabled product development, platform architecture and enterprise transformation. His mandate spans both internal and client-facing initiatives, with a dual focus on enhancing how GBST teams operate and embedding AI into products in ways that deliver measurable client outcomes.
Internally, priorities include deploying governed AI tools to enhance productivity, modernise codebases and streamline documentation, supported by clear policies on approved tools, data protection and human review. Externally, the focus is on integrating AI within Composer and all GBST’s products to improve operational consistency and support administrators working at scale in complex regulatory environments.
Isabel Sanchez, GBST’s Chief Product and Technology Officer, said:
“AI creates value when it is thoughtfully embedded into real-world workflows and built on secure, scalable foundations. Our AI strategy is underpinned by GBST’s established robust technology , including cloud-native architecture, real-time interfaces and enterprise AI platforms, and we’re investing in upskilling our engineering and product teams, complemented by targeted specialist hires, to build sustainable long-term capability.
“Jai’s appointment brings dedicated leadership to a rapidly evolving domain, ensuring our AI roadmap aligns closely with product strategy, leverages secure architecture and is delivered with the governance standards our clients expect.”
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