Sinorbis has launched an artificial intelligence agent designed to answer prospective international students in their own language within seconds, as education providers face mounting pressure to maintain recruitment activity with increasingly stretched teams.
The Sydney-based technology and marketing services company announced the launch of ALFRED earlier today, alongside a broader overhaul of its offering as it marks 10 years in business.
The agent responds to enquiries through institutional websites, WeChat and WhatsApp, operating around the clock and across languages. It is designed to qualify prospective students against each institution’s recruitment criteria and gather information for counsellors to use in follow-up conversations.
The proposition is straightforward. In a competitive recruitment market, a prospective student who receives a timely, relevant response may be more likely to progress their application than one left waiting for a reply.
But the technology also reflects a broader shift in international education, where institutions are being asked to do more with fewer resources while navigating uncertain demand, changing visa settings and increasingly complex recruitment markets.
Department of Education figures cited by Sinorbis show international student commencements across all sectors fell 9 per cent in the year to June 2026, to 234,038. While higher education enrolments grew by 2 per cent over the same period, sector analysts have projected a 4 per cent decline in higher education commencements for 2026, amid falling offshore applications and persistently high visa refusal rates in several key markets.
Phil Honeywood, CEO of the International Education Association of Australia and an advisory board member at Sinorbis, said institutions were operating in a market where each enquiry carried greater weight.
“Institutions are being asked to recruit more students with fewer people, in a market where every enquiry matters more than it did two years ago,” Honeywood said.
“Students expect an answer in their own language at whatever hour they ask, and they’re more likely to apply to whoever gets back to them first.”
Honeywood said technology that helped institutions respond quickly while providing reliable information was an important direction for the sector.
The challenge, however, is not simply responding faster. International recruitment relies on accurate advice about course availability, entry requirements, fees, application deadlines and visa-related processes. An automated response that is quick but wrong could undermine the trust institutions are trying to build with prospective students.
Sinorbis said ALFRED had been designed with two safeguards to address that risk. Responses are drawn from institution-approved material, with questions that fall outside that information referred to a human counsellor rather than answered by the agent.
The company also said private and sensitive information was removed before messages were processed by AI models, meaning the models would not receive students’ contact details.
These measures speak to two of the more important questions surrounding the adoption of AI in international education: how institutions maintain control over the advice prospective students receive, and how they protect personal information as more recruitment interactions become automated.
The effectiveness of those safeguards will ultimately depend on how they operate in practice, including how reliably the system recognises questions it cannot answer and how institutions maintain the information on which its responses depend.
For Sinorbis, ALFRED is part of a wider change in how it packages its services. CEO Nicolas Chu, who is also Professor of Practice at UNSW Business School, said the company had developed its new offering in response to feedback from hundreds of clients.
“They did not need another platform to manage,” Chu said. “They needed the work done, in the markets that are hardest to reach, with something tangible to show for it at the end of the year.”
Under the revised subscription model, each plan includes localised marketing assets developed by Sinorbis, alongside analytics intended to give institutions a clearer picture of global campaign performance.
The move addresses another persistent problem for international recruitment teams: fragmented marketing data and limited capacity to engage prospective students across every market in which an institution operates.
Localised content and communications can help institutions connect with students in different markets, but measuring whether those activities translate into meaningful enquiries, applications and enrolments remains essential. By combining marketing assets, engagement tools and analytics, Sinorbis is seeking to position its offering as an integrated recruitment service rather than another standalone technology platform.
For institutions under pressure to demonstrate returns on recruitment spending, that distinction may matter as much as the AI agent itself.
Automation can help teams respond at scale, particularly across different time zones and languages. It cannot, on its own, resolve the underlying challenges of international recruitment, from affordability and visa uncertainty to competition between destinations and the quality of the student experience.
The test for ALFRED and similar tools will therefore be whether faster engagement leads to better-informed students, stronger conversion rates and more effective use of recruitment resources, rather than simply a higher volume of automated conversations.
For a sector increasingly looking to technology to fill operational gaps, the promise is clear. Whether it delivers will depend on the quality of the information, the human support behind the system and the outcomes institutions can demonstrate.
More information is available at Sinorbis.
