Australia is entering a new chapter in digital transformation, one defined by autonomous, trustworthy, and verifiable AI. As government services modernise and enterprises accelerate automation programs, a new question has emerged:
How can AI do more than generate information, and instead securely act on it?
The answer lies in Agentic AI: autonomous AI agents capable of reasoning, executing tasks, and interacting with verified government data. And while the potential is enormous, one barrier continues to determine adoption success:
Trust
Trust in data provenance. Trust in compliance. Trust in the systems connecting AI to sensitive government information.
This is the problem InfoTrack has set out to solve.
From Generative to Agentic: The next evolution of enterprise AI
Agentic AI goes beyond traditional generative models. Instead of simply producing text or insights, AI agents can:
This shift is already reshaping global enterprise strategies
The pattern is clear:
Enterprises are moving from AI as a tool to AI as an operational workforce.
Australia’s Moment: Regulation, risk and opportunity
Australia’s digital landscape is evolving fast:
- The Digital Transformation Strategy (2025–2030) prioritises secure AI enablement and trusted data exchange.
- Major banks NAB, Westpac, ANZ have stood up AI governance boards aligned to APRA, ASIC, and OAIC frameworks.
- According to CSIRO’s 2025 survey, 64% of Australian enterprises plan to invest in AI governance and compliance tech within 18 months.
However, CIOs and CTOs continue to face the same challenge:
How do we integrate AI agents into production systems without compromising compliance or data lineage?
This is where InfoTrack’s Agentic AI framework provides a unique advantage, offering a secure, compliant, and auditable pathway between AI systems and verified government data.
Introducing the Trust Layer: InfoTrack’s MCP-Enabled Architecture
InfoTrack’s Multi-Connector Protocol (MCP) provides a secure and compliant bridge between:
- Government Registries (ASIC, Land Registries, Courts)
- Enterprise Systems (Microsoft Copilot, Salesforce, Google Vertex AI)
- Agentic AI Models (OpenAI GPT Enterprise, Azure OpenAI, Vertex AI Agents)
What makes it different?
Every interaction is logged, certified, and fully auditable.
Built to align with Australian Privacy Principles and ISO 27001 controls.
Supports RESTful APIs, secure token exchange, and multi-agent orchestration
This trust layer allows AI agents to operate autonomously, without introducing new compliance risks.
Where agentic AI creates immediate value
- Automated verification and settlement workflows
- Up to 60% reduction in property settlement turnaround times
- AI-driven KYC, title checks, and loan processing
- 25–35% reduction in manual compliance workloads (Deloitte, 2025)
- AI assistants pulling live company/trust data
- Automated audit, tax, and compliance reporting
- Cross-agency data collaboration via privacy-safe MCP sandboxes
- Enhanced public trust through traceable AI decision-making
Across all sectors, the pattern is consistent:
Agentic AI accelerates workflows, strengthens compliance, and reduces human burden.
Risk, compliance, and responsible adoption
Enterprises seeking to deploy Agentic AI must ensure:
Every decision must be interpretable.
MCP maintains full logs of agent actions and government data interactions.
Supports major Australian standards, including:
- OAIC – Privacy Act compliance
- APRA CPG 234 – Cyber risk & governance
By acting as a compliant intermediary between AI agents and official data, InfoTrack provides the regulatory guardrails enterprises need to deploy autonomous systems safely.
A strategic roadmap for CIOs & CTOs (2026–2030)
To prepare for enterprise-wide Agentic AI, technology leaders should focus on four immediate steps:
Review data lineage, security posture, interoperability, and system maturity.
Target workflows that are compliance-heavy and high-value, yet low-risk.
Partner with connectors like InfoTrack to ensure compliance from day one.
Exclusive forums featuring leaders from Microsoft, OpenAI, Salesforce, Australian regulators, and top-tier CIO/CTO peers.
These roundtables are where the future of AI-to-government connectivity is being shaped.
The Future: A national agentic AI ecosystem
Australia is shifting from AI experimentation to AI infrastructure.
In this new landscape:
- Agentic AI will power digital service delivery.
- Compliance-ready connectors like InfoTrack will form the trust backbone.
- First movers will gain a decisive competitive advantage in automation and customer experience.
Together with regulators, technology partners, and enterprise leaders, InfoTrack is building Australia’s most secure and interoperable Agentic AI ecosystem, setting a global benchmark for connected, ethical AI.
Conclusion: A call to action for technology leaders
Agentic AI represents the convergence of autonomy, trust, and compliance, the defining forces of the next decade.
For CIOs and CTOs, the question is no longer if to adopt AI agents, but how to do it responsibly.
InfoTrack invites you to participate in our exclusive Agentic AI Roundtables, where Australia’s technology leaders collaborate to define the future of trusted AI connectivity.