PolyGroup

The people behind PolyGroup

The advisers, architects and researchers behind the platforms — and behind every configured implementation.

Leadership & advisory

Senior advisory leadership

Every engagement is led at senior level, from discovery and governance through to the platforms that deliver it.

Ron Forlee

Ron Forlee

B.Arch, MIA, ISAA

Founder & Principal

Architect | Property Developer | AI Strategist

About Ron

Ron advises boards, founders, and executive teams on AI governance, digital transformation, and strategic adoption within the built environment and regulated industries. With over 45 years of experience spanning architecture, property development, and real estate investment, he brings a rare combination of commercial acumen and governance oversight.

Ron has led complex development projects, advised on procurement and development management, and is actively building AI platforms serving construction, infrastructure, and SME sectors across Australia and internationally. He leads structured, ethics-driven engagements that align AI adoption with fiduciary duty, risk management, and long-term institutional integrity.

Danny Chong

Danny Chong

AI & Data Architecture Advisor

AI Systems | Data Platforms | Automation Frameworks

About Danny

Danny advises boards, founders, and executive teams on AI architecture, data platforms, and secure automation frameworks that enable scalable, commercially aligned digital transformation. With over a decade of experience spanning AI-driven platforms, business analysis, and technology delivery, he specialises in Large Language Model systems, Retrieval-Augmented Generation (RAG) architectures, document intelligence, and enterprise data integration.

Danny has led AI and analytics initiatives across transport, local government, real estate, and SME environments, translating complex operational challenges into structured, execution-ready technology architectures. He contributes technical depth to governance-led engagements, ensuring AI systems are architected with security, scalability, and measurable business outcomes at their core.

Qi Wei Ang, (Wayne)

Qi Wei Ang, (Wayne)

MSc (Applied Statistics), PRINCE2, SAFe®

Enterprise AI & Data Strategy Advisor

Governance | Risk | Institutional Operations

About Wayne

Qi Wei advises boards, C-suite leaders, and government executives on enterprise AI transformation, data platform strategy, and analytics governance that drive measurable business outcomes. With over 16 years' experience across academia, government, mining, health, and giga-scale infrastructure environments, he specialises in embedding AI and advanced analytics into strategic decision-making frameworks.

Qi Wei has led large-scale data transformations, secured multimillion-dollar funding for enterprise data platforms, architected AI-driven compliance and automation systems, and partnered directly with CFOs, COOs, and Executive Directors to align analytics with institutional priorities. He contributes deep expertise in AI governance, data architecture, and executive-level analytics strategy, ensuring AI adoption is commercially grounded, auditable, and aligned with long-term enterprise resilience.

Ian Teh

Ian Teh

AI & Marketing Strategy Advisor | Business Development

About Ian

Ian advises business owners, founders, and subject matter experts on AI automation, marketing strategy, and commercial growth across Australian and international markets.

With experience spanning digital marketing, process optimisation, and AI-enabled systems, he specialises in identifying where organisations lose leads, revenue, and operational efficiency, then developing practical solutions that improve workflow, automation, and scalability. He also works with established experts and advisory-led businesses to structure knowledge into digital products, published assets, and media platforms that strengthen authority and market reach.

Ian brings commercial growth capabilities, marketing strategy expertise, and depth in AI automation to engagements, helping ensure recommendations are practical, scalable, and aligned with business outcomes.

Structured research & development program

Graduate Fellows & Research Interns

Graduate Fellows and Research Interns participate in supervised research, analytical support, and structured governance initiatives. The program is designed to cultivate emerging leaders in AI governance, data ethics, and institutional transformation while strengthening our research capability and analytical depth. Fellows and interns do not provide independent advisory services and operate under defined supervision and engagement boundaries.

Arjan Mallik

Arjan Mallik

Graduate Fellow: Information Systems & AI

About Arjan

Arjan is an Information Systems graduate with a strong interest in how technology can improve business processes, systems, and user experience. Through his work with a client project, ProactiveIQ.ai, he contributes to developing an AI-enabled platform while gaining practical insight into the industry, its operational challenges, and how to design technology around real business needs.

Arjan brings a process-focused perspective to research and project work, with particular interest in translating complex business requirements into practical, intuitive solutions that people can readily adopt.

Sufian Sayed

Sufian Sayed

Graduate Fellow: Business Information Systems & AI

About Sufian

Sufian is a Business Information Systems graduate with a strong interest in AI, business analytics, digital transformation, and emerging technologies. Through his work with a client project, ProactiveIQ.ai, he is gaining practical experience applying AI, data, automation, and digital systems to address real-world business challenges and improve organisational performance.

Sufian contributes to research and project work while building his capabilities across business and technology, with a particular focus on translating emerging technologies into practical, measurable value for organisations.

Ishaq Rind

Ishaq Rind

Graduate Fellow: Business Information Systems & AI Governance

About Ishaq

Ishaq is a Business Information Systems graduate focused on Business Analytics, with a strong interest in AI governance, data-driven decision-making, and digital transformation. His interests centre on how organisations can apply AI and emerging technologies responsibly, with particular emphasis on data governance, institutional impact, and effective decision-making.

Ishaq contributes to research and analytical initiatives supporting practical approaches to responsible AI adoption, while developing his expertise at the intersection of technology, governance, and organisational strategy.

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