Microsoft AI tool cuts paperwork for Regis Aged Care staff

Microsoft’s RegiCare Assist has become a daily paperwork filter for Regis Aged Care, summarizing handover notes, flagging concerns and sorting them by clinical issue for about 150 staff. The tool, built with Microsoft Copilot Studio and Microsoft Foundry, was rolled out in September 2025 and is designed to free frontline workers to spend more time with residents.

That is the key distinction in this story: RegiCare Assist is not a generic chatbot sitting on the side of the job. It is embedded in a specific workflow, aimed at a repetitive task that care managers already had to do every day. Regis, which Microsoft describes as one of Australia’s largest aged care providers, developed the solution with Cognizant, giving the project a familiar enterprise shape: a domain-specific problem, a workflow-specific build and a clear operational target.

Microsoft has framed the assistant as part of a wider push to use AI in healthcare to connect care experiences, improve team collaboration and surface operational insight. For workplace software teams, that is the real lesson. AI adoption tends to stick when it removes a known friction point, shortens a handoff or makes the next action more obvious. In this case, the measurable burden is the reading and triage of handover notes. The payoff is less admin and more time on resident care.

That same logic is now central to monday.com’s own AI strategy. The company announced its AI Vision for 2025 on February 10, then introduced monday magic, monday vibe and monday sidekick on July 10, saying the products were meant to place AI directly inside everyday workflows. In September 2025, monday.com added monday agents and monday campaigns, extending the idea from assistive features into more automated task handling. The company describes itself as an AI work platform built to help teams manage and orchestrate work, which makes workflow specificity more than a slogan. It is the product test.

The stakes are high because monday.com is selling into real operating motions, not toy use cases. By year-end 2025, the company said it had more than 250,000 customers, including 4,281 customers with more than $50,000 in annual recurring revenue, 1,844 above $100,000 and 99 above $500,000. It also reported about $1.23 billion in FY2025 revenue and about $118.7 million in net income. That scale raises the bar for every AI launch: buyers will not reward broad promises of productivity unless the feature removes a specific piece of operational friction.