About Us
Meet The Team
Warwick Kirby
CEO
Warwick leads GSI’s strategy, scale-up and partner ecosystem for its AI-powered, no-code GRC platform. A former CEO of Camms and Revelian, with prior senior leadership at Oracle—he brings 20+ years of building and transforming software businesses, including leading organic growth, M&A and capital programs. His focus: product-led innovation, measurable customer outcomes and disciplined execution.
Eric de Vos
VP Head of Accounts
Eric leads GSI’s global account relationships. He has held executive roles at Oracle (VP, Consulting Services) and Hewlett-Packard (Director, Managed Services & Global Delivery). He couples commercial acuity with rigorous governance to drive adoption, value realization, and multi-year growth roadmaps. Eric is a Graduate of the Australian Institute of Company Directors and a GRI Certified Professional.
Darren Jacobs
Chief Product Officer
Darren sets the vision for GSI’s Agentic AI and no-code product stack, aligning roadmap, research, and market feedback to deliver measurable outcomes across governance, risk, and compliance. He represents GSI in analyst and client forums, translating emerging trends into enterprise-grade capabilities. He partners closely with customers and analysts to translate real-world requirements into enterprise-grade solutions that deliver measurable impact.
Sofia Khan
Finance Manager
Sofia leads financial strategy and operations, aligning financial governance, reporting, and compliance with broader business objectives. With more than 25 years of experience, she brings deep expertise in financial management, process optimisation, and operational control across diverse industries.
She partners with leadership teams to strengthen financial performance, enhance transparency, and deliver disciplined execution. Her focus: financial integrity, sustainable growth, and measurable results.
Tarryn Lyle
Digital Marketing & Business Growth Manager
Tarryn leads GSI’s digital growth and performance marketing strategy for its AI-powered enterprise platform. With 15 years’ experience and a Master’s Degree in Digital Marketing, alongside advanced AI credentials and a technical foundation in digital systems and multimedia integration, she brings commercial rigour and data-led execution to demand generation and brand performance. She is focused on scalable growth, disciplined execution, and ensuring marketing delivers measurable enterprise impact.

Why the GSI Platform?
Enterprise AI app development is moving to 100 percent no code, as traditional application development cycles are failing, very costly, lack agility, and rely on scarce specialist resources. GSi enables organisations to design, deploy, and govern AI driven enterprise applications without writing code, compressing delivery timelines from months to days.
Salesforce and ServiceNow are strong platforms, but complex enterprise requirements often push teams into proprietary and pro code patterns, increasing cost, risk, and long-term delivery dependency.
Leading low code platforms, including OutSystems and Mendix, explicitly support extending applications with custom C# or Java, which reintroduces developer bottlenecks as scope and complexity grow.
GSI is designed to coexist with existing platforms, allowing partners to add new enterprise applications without a rip and replace program. Faster iteration and safer change management are achieved because all logic remains configurable and centrally governed, rather than scattered across scripts and custom code bases.
For partners, this delivers a significant commercial edge, reducing delivery cost and reliance on scarce specialist skills while dramatically increasing the number of enterprise applications delivered in days rather than months. The outcome is higher margins, faster deal velocity, and a platform built to scale with confidence, delivering enterprise grade governance, auditability, and control as AI adoption accelerates.
Build Enterprise AI You Can Control
GSI provides the governed, no-code foundation organisations and partners need to deploy AI-driven applications with confidence, adapt quickly as demands evolve, and maintain control as complexity grows.