Technology provider InfoTrack has rolled out a new AI platform that promises a more secure and transparent link between enterprises and government data – launching at a moment when scrutiny is rising, and businesses are demanding firmer guardrails for AI.
InfoTrack has introduced a new AI platform that offers organisations across accounting, healthcare, financial services, property, and insurance a more secure and transparent way to access government data systems.
The platform, known as InfoTrack.ai, is designed to provide a faster, more secure and fully auditable pathway for retrieving verified data and validating information.
The technology provider explained how the launch of the new platform comes at a pivotal moment for enterprises, as regulatory expectations tighten and organisations seek clearer guardrails for responsible AI adoption.
John Ahern, the CEO of InfoTrack, described the platform as a “universal connector”, uniting core AI tools in one place while ensuring humans remain firmly in control through explicit oversight and complete auditability.
“InfoTrack’s MCP solution acts as a universal connector for enterprise AI, offering all the services and tools you need from one place,” Ahern said.
“It combines the benefits of autonomous systems with human oversight, explicit approval and full auditability.”
Built on Model Context Protocol (MCP), Ahern explained, the platform goes beyond executing tasks – it can reason, plan, and make decisions, arriving at a pivotal moment as technology leaders navigate the challenges of introducing AI safely and efficiently.
“This new breed of AI not only retrieves data and executes complex tasks but can reason, plan and make decisions,” Ahern said.
“InfoTrack’s launch of MCP comes as CIOs and CTOs are grappling with how to deploy AI in a compliant, responsible, and efficient manner.”
The launch coincides with a broader national focus on the responsible adoption of AI.
This week, the federal government unveiled its national AI plan, highlighting sector-wide opportunities and allocating $17 million to support practitioner programs, building on the National Framework for the Assurance of AI in Government, which prioritises transparency, traceability, and public trust.
Reflecting on developments in compliance, Ahern emphasised that these policies underscore the need for AI systems built on a compliance-first foundation, ensuring every piece of data is fully traceable and legitimate.
“The AI systems of the future, like MCP, must operate within a compliance-first framework, ensuring every data point is traceable and legitimate,” Ahern said.
