Senior living providers are taking direct control of their technology challenges rather than relying on outside vendors. They are now designing their own AI-driven solutions to address persistent issues in nursing workflows, regulatory compliance, and care documentation.
The industry’s approach to innovation has fundamentally changed. Platforms like ALIS, an integrated clinical and operational system, now allow operators to create custom applications without needing external developers. “AI has democratized inventing,” says John Shafaee, CEO of ALIS. “The old world order of relying on companies to innovate has been disrupted massively. Anyone with a dream, or an idea, can do this.”
AI ‘digital nurses’ cut med-review backlogs
In 2026, three operators using ALIS have developed systems that target long-standing operational frustrations. Adava Care addressed a critical bottleneck: psychotropic medication reviews. When a nurse resigned unexpectedly, the facility faced 150 pending faxes and manual follow-ups. Rather than hiring additional staff, Adava implemented an automated “digital nurse” that generates, sends, and tracks these reviews. This shift allows nurses to focus on direct resident interaction.
The tool has improved compliance and reduced errors. “We’ve caught errors that weren’t noticed before,” explains Kurosh Dejgosha, Adava’s president. Staff no longer face the administrative burden of manual tracking. “The tools we’re building don’t eliminate jobs,” Dejgosha says. “They allow the people in those positions to focus on what they’re good at, patient care, rather than filling out forms and repeatedly faxing. The tools eliminate the tedium.”
For operators, the value extends beyond time savings. By reducing paperwork, these tools help combat staff burnout—a persistent crisis in senior care where labor shortages persist despite rising demand. The digital nurse demonstrates that AI can alleviate workloads without eliminating jobs, a key consideration in an industry already strained by workforce constraints.
Risk-scoring tools flag care gaps before they worsen
Longevity Senior Living tackled a different challenge: ensuring clinical tasks, such as UTI testing, were consistently completed. Without reliable tracking, some follow-ups were overlooked. Their solution was a clinical tracker that analyzes care data to assign risk scores, flagging issues like missed medications or declining health. Within three months, the system produced clear results:
- Average care revenue increased by 9.9%.
- Clinical directors saved two hours daily on chart reviews.
- Medication-related issues decreased by 78%.
The system prioritizes actions through push notifications, directing caregivers to unresolved tasks. “You don’t need new tech with more data,” says Carl Hirschman, Longevity’s president. “You need to identify the signal through the noise on the data you already have.”
Solera Senior Living focused on reconciling passive monitoring data with care documentation. Ambient sensors detect incidents like falls, but matching these events to written records had been inconsistent. Solera’s AI reviewer resolves discrepancies by cross-checking systems, identifying gaps, such as documented falls without sensor alerts, and routing corrections to the appropriate team. Since its launch in July, the tool has been adopted in 13 communities, improving accuracy and closing care gaps.
- Fall-event documentation accuracy rose from approximately one in eight to six in seven.
Revenue jumps as AI turns data into action
For Longevity, the clinical tracker’s revenue impact highlights AI’s role in financial stability. The 9.9% increase in care revenue stems from improved task completion, which directly affects billing accuracy. Clinical directors report that the risk-scoring system helps prioritize high-need residents, reducing delays that lead to costly care gaps. Hirschman stresses that the solution works with existing data rather than adding more. “The goal was to ensure that the right leader sees the right exception while there is still time to act,” he says. The two-hour daily time savings for directors translates into broader oversight capacity, a critical advantage in understaffed facilities.
ALIS is actively expanding the infrastructure that makes this kind of operator-led development possible, deepening its open APIs, growing the App Store ecosystem, and building the tools that allow operators to connect, build, and act on their own data without needing an engineering team to do it. For operators who see a problem worth solving, that door is open.
