A new AI-driven scheduling system built on Microsoft Azure has slashed the time required for morning rescheduling at Australian aged care provider ECH by 50 percent. The solution, named Schedtris AI, was developed by workforce management technology company Gadali in collaboration with ECH and through the Microsoft Elevate program. Deployed inside ECH’s Microsoft environment, the system automates the complex task of adjusting carer schedules each morning, freeing up coordinators to focus on resident care.
The Morning Rescheduling Crunch in Aged Care
Aged care providers operate in a dynamic environment where schedules are rarely static. Overnight changes—such as staff absences, new care requirements, or client health episodes—force coordinators to scramble each morning to reassign shifts. For ECH, a not-for-profit aged care organization serving thousands of older South Australians, this daily ritual was consuming valuable time and creating stress for its workforce management team.
The manual process often involves juggling spreadsheets, phone calls, and paper rosters to find replacement workers who have the right skills, are available at short notice, and are located near the client. Coordinators must also comply with complex award conditions, mandatory rest periods, and carer certifications. A single error can lead to missed care visits or regulatory non-compliance. With Australia’s aged care sector already grappling with severe workforce shortages, every minute spent on administrative reshuffling is a minute away from direct care.
How Schedtris AI Tackles Workforce Rostering
Schedtris AI tackles the problem by ingesting real-time data from ECH’s roster systems, staff availability feeds, and care plans. The AI engine then runs hundreds of what-if scenarios within seconds, factoring in employee skills, certifications, geographic proximity, and even individual preferences. The result is an optimized reschedule that coordinators can review and approve with a few clicks, rather than spending hours manually adjusting spreadsheets.
Gadali, the Adelaide-based company behind the tool, designed Schedtris to plug into existing workforce management platforms. In ECH’s case, the AI sits on top of its Microsoft environment, drawing data from Dynamics 365 or other scheduling modules, and exposing its recommendations through a familiar interface. This tight integration was made possible through the Microsoft Elevate program, which provides partners with technical guidance and co-selling opportunities.
The AI algorithms account for dozens of constraints simultaneously: a carer’s shift starts only after school drop-off, another has a lifting restriction due to an injury, a third speaks a client’s preferred language. By automating these micro-decisions, Schedtris reduces the cognitive load on human schedulers and cuts the risk of oversight.
The Microsoft Elevate Advantage
Microsoft Elevate is a partner acceleration initiative that helps ISVs modernize their applications on Azure, access go-to-market resources, and align with Microsoft’s sales motions. For Gadali, the program provided the architectural blueprint to containerize Schedtris AI, ensure HIPAA-like compliance for health data, and take advantage of Azure’s sovereign cloud capabilities in Australia.
By deploying on Azure, ECH gains elastic compute for the bursty nature of morning rescheduling, along with enterprise-grade security and disaster recovery. The AI models, which require periodic retraining as care patterns evolve, can leverage Azure Machine Learning pipelines for continuous improvement. Moreover, the integration with Microsoft 365 and Teams means that coordinators receive rescheduling suggestions directly within the collaboration tools they already use.
That deep integration also simplifies adoption—there’s no new interface to learn. When a carer calls in sick, a coordinator can open a Teams notification, see the AI’s top three replacement suggestions with clear rationale, and confirm the change in seconds. Role-based access controls ensure that sensitive client data remains protected according to Australia’s Privacy Act and aged care quality standards.
Measurable Impact at ECH
Since deploying Schedtris AI, ECH has halved the time its coordinators spend on morning rescheduling. While the organization has not yet disclosed the exact hourly savings, the 50 percent reduction marks a significant operational efficiency gain for a provider that manages thousands of weekly care visits. Coordinators can now redirect their attention to complex care coordination tasks and direct resident interaction rather than administrative reshuffling.
Early feedback from ECH’s rostering team points to reduced frustration and fewer rostering errors, as the AI consistently remembers minor constraints—such as a carer’s temporary lifting restriction or a client’s preference for a particular care worker—that humans might overlook during a rushed morning. The system also flags compliance risks, such as exceeding maximum shift lengths, before they materialize.
For ECH, the return on investment extends beyond time savings. Fewer rostering errors mean fewer last-minute scrambles that disrupt care continuity and erode staff morale. Happier workers tend to stay longer, indirectly tackling the sector’s high turnover rates. The AI’s transparency—it explains why a certain replacement was chosen—also builds trust among coordinators who were initially skeptical about ceding control to an algorithm.
AI in Aged Care: Beyond the Buzzwords
The aged care sector is under immense pressure to do more with less. Australia’s Royal Commission into Aged Care Quality and Safety highlighted systemic workforce challenges, and providers like ECH are turning to technology to maintain service quality amidst staffing shortages. AI-powered scheduling is emerging as a critical tool, not just for efficiency but for improving staff satisfaction and retention by accommodating preferences and reducing last-minute disruptions.
Gadali’s Schedtris AI joins a growing field of specialist healthcare rostering solutions, but its tight coupling with the Microsoft stack could give it an edge in organizations already standardized on 365 and Azure. Competitors such as Humanforce, Roubler, and SAP SuccessFactors offer workforce management modules, but many lack the advanced AI scenario modeling that Schedtris brings to bear on the unique morning rescheduling problem.
The technology also aligns with broader trends in healthcare IT: the shift from reactive to predictive operations. By analyzing historical data, Schedtris can potentially forecast rush periods—Mondays with higher sick calls, or seasonal demand spikes—and pre-build optimal schedules. This moves the sector from constant firefighting to proactive workforce planning.
What’s Next for Gadali and ECH
With the successful pilot at ECH, Gadali is expected to offer Schedtris AI more broadly to other aged care and disability service providers across Australia and beyond. The Microsoft Elevate relationship positions Gadali for joint selling through Microsoft’s enterprise sales teams, potentially accelerating adoption in government-funded care sectors.
Future iterations could incorporate predictive analytics that anticipate sick leave spikes during flu season, or recommend optimal care worker recruitment drives using historical trend data. As Azure’s AI services expand with generative AI capabilities, Schedtris might one day allow coordinators to reschedule by simply typing or speaking a request: “Find me a replacement for Mary on Thursday morning who speaks Italian.” That future is not far off.
Meanwhile, ECH plans to continue refining the AI model with operational data to inch toward even greater time savings. The organization is exploring whether the same AI principles can be applied to other administrative pain points, such as billing reconciliation or compliance reporting. If successful, Schedtris could evolve from a point solution into a comprehensive aged care operations platform.
Gadali is also actively gathering feedback from coordinators to enhance the user experience—for instance, adding more granular override options when business rules conflict, or creating a mobile app for on-the-go approvals. These enhancements will be rolled out via Azure’s continuous deployment pipelines, ensuring that improvements reach users quickly and without disruption.
A Blueprint for Industry Collaboration
The Schedtris–ECH–Microsoft triad demonstrates how co-development between domain experts, agile ISVs, and hyperscale cloud platforms can produce outcomes that off-the-shelf software cannot. ECH brought deep operational knowledge of aged care pain points, Gadali contributed AI and rostering expertise, and Microsoft provided the scalable infrastructure and go-to-market muscle.
This model is gaining traction in health and human services, where generic enterprise software often stumbles against intricate compliance and personalization requirements. By embedding AI into the flow of work—and doing so within the tools caregivers already use—the partnership avoided the classic pitfall of adding another siloed app to an already fragmented IT landscape.
As aged care operators worldwide stare down demographic headwinds, such targeted AI deployments offer a practical path to doing more with constrained workforces. The 50 percent time savings at ECH is not just a statistic; it represents hours returned to care, reduced burnout, and a more resilient care system. The challenge now lies in replicating that success across the sector while maintaining the human touch that lies at the heart of aged care.