Adactin targets public sector AI work after Federal Government directory listing

Strengthens its visibility across the public sector as agencies and organisations look to harness the technology.

Adactin has announced it’s now listed on the federal government’s AI directory, paving the way for opportunities to participate in government-led AI initiatives and programs.

The directory aims to help small and medium-sized businesses, government bodies and industries find and connect with providers for their AI requirements.

Srinivas Gutta, technical practice director, Adactin, said the listing significantly enhances trust, credibility and visibility for SMBs like Adactin.

“It increases awareness of our capabilities across the public sector and helps position us as a trusted partner,” Gutta said.

The services provider specialises in cloud, AI and software engineering services. Gutta said the firm has built strong domain knowledge that’s critical for enabling AI solutions in complex regulatory environments.

“We’re continuing to invest in developing local talent, allowing us to deliver AI and cloud services onshore while maintaining a strong understanding of Australia’s regulatory, security and compliance requirements,” he added.

It’s estimated AI could add $142 billion per annum to the economy by 2030, according to an industry report, which had input from the Australian Information Industry Association (AIIA) and the Business Council of Australia.

To realise the economic dividend from AI, widespread business adoption, investment in domestic capabilities and developing the industry as a regional hub are needed, according to the report.

Adactin’s finding most organisations have identified areas where AI can drive efficiency, improve services and generate better insights, but they’re discovering the limitations of existing systems.

“We’re seeing organisations at varying levels of maturity across governance, security and skills,” said Gutta.

Common gaps include evolving AI governance models, particularly around accountability and traceability as well as the need to strengthen security frameworks to better support AI at scale.

They’re also facing challenges around data quality and governance, combined with the rapid pace of AI evolution, are slowing the take-up of the technology.

“Strengthening data foundations and security controls will be critical to moving from identified use cases to confident, scalable AI deployments,” Gutta told CRN Australia.

“On the skills side, there’s a growing demand for practical experience across AI, data and cybersecurity. Many organisations are actively working to address this as part of their broader AI journey,” he added.

In addition, many organisations are still struggling to develop a clear AI adoption strategy, which compounds skills gaps within their teams.

“Addressing strategy, capability and data readiness together is essential to accelerating meaningful AI adoption,” he said.

Gutta expects agentic AI will make real inroads in local organisations in the next 12 months, able to handle more complex, multi-step tasks across systems and applications.

It could see the rise of ‘virtual co-workers’ and potentially a generational change in workplace productivity, he noted.