Real-world Senior Living Ai Innovation: What Three Operators Built In 2026 

When senior living operators face a problem, their instinct is to create the solution. Literally.

That previously wasn’t possible.

Now it is.

“AI has democratized inventing,” says John Shafaee, CEO of ALIS, the all-in-one, clinical and operational platform that is opening the door to operators being able to take the lead in many of their own challenges. “The old world order of relying on companies to innovate has been disrupted massively. Anyone with a dream, or an idea, can do this.”

Shafaee has seen that first-hand. In 2026, operators partnering with ALIS have led the creation of innovations that tackle some of the industry’s most important problems. One built a digital nurse to give bedside care time back to their nursing staff, another a clinical tracker. Solera Senior Living created an entire AI review system to reconcile the data from their passive, ambient monitoring system with their documentation.

The solutions these operators built with ALIS this year impact nearly every vital area of the industry, including compliance, nursing time and documentation.

“We saw an opportunity to use AI not to replace clinical judgement, but to protect and amplify it,” says Phil Lord, COO of Solera, whose new AI reviewer is opening up all sorts of new possibilities for the operator. “The goal was to ensure that the right leader sees the right exception while there is still time to act.”

Solera’s work is one of many exciting operator-led AI innovations that Shafaee saw in 2026. Here is a look at three of his favorites.

Adava Care’s digital nurse

Problem they sought to solve: Getting time back for nurses. When a nurse at Adava Care quit unexpectedly, the leadership team saw that the psychotropic reviews had not been completed on time. This led to an enormous amount of logistical work: 150 faxes and responses to file.

What they built with ALIS: A “digital nurse.” Adava Care president Kurosh Dejgosha built a solution to generate, fax and receive those signed reviews. It takes all of their psychotropic meds, generates a form detailing their usage, faxes it to the prescribing provider and manages the receipt of their response fax, ​​all of which feeds back into the ALIS system.

“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. After the initial hesitation, everyone has loved it.”

Outcomes: Improvements across the board.

“We’ve caught errors that weren’t noticed before,” Dejgosha says. “Our compliance is perfect. The AI tools thrive on processing large amounts of data for rules where a human might make mistakes. Time is freed up from rote tasks. There’s no more worry about whether a task was completed.”

Longevity Senior Living’s clinical tracker

Problem they sought to solve: Ensuring that clinical tasks are completed. Longevity found that when they were taking on a clinical task, such as ordering a UTI test, they didn’t have a good way to ensure that the task was completed.

What they built with ALIS: A clinical tracker. The tracker analyzes all of their care data to give each resident a risk score, which combines falls, incidents, hospitalizations, missed meds, absences, observations, UTI workflows and care-plan drift​​.

Outcomes: The AI tool that Longevity built with ALIS reviews notes and observations to show which residents are quietly declining, delivers a push notification so that staff members can see which patients need attention, and what tasks have not been completed. In just 90 days:

• Average care revenue has increased by 9.9% 

• Clinical directors have reported that it saves them two hours per day from chart reviews 

• Medication issues have reduced by 78% 

• Occupancy has increased by 5% 

“You don’t need new tech with more data,” ​​says Longevity president Carl Hirschman. “You need to identify the signal through the noise on the data you already have.”

Solera Senior Living’s AI reviewer

Problem they sought to solve: reconciling their passive, ambient monitoring technology with their documentation in ALIS.

What they built with ALIS: An agentic AI reviewer. The AI reviewer securely accesses ALIS and connected point solutions, and evaluates information across systems rather than reviewing each report independently. It also performs the inverse review. If a fall is documented in ALIS but there is no corresponding event detected through ambient monitoring, the issue is identified as a potential detection failure and directed to the technology partner, not the care team.

“That distinction matters because different problems require different owners and different solutions,” Lord says.

Their first enhanced cycle launched in July of this year. A few months later and it is no longer a ​​pilot: the AI review now runs across thirteen Solera communities.

“Every Monday, before the week gains momentum, our leaders receive a clearer picture of what happened, what may have been missed, what remains unresolved and who owns the next action,” Lord says. “That is how innovation becomes infrastructure.”

Outcomes: Many, including:

• Reconciliation between detected fall events and incident reports improved from approximately one in eight to six in seven 

• Medication availability failures declined to near zero 

• Care documentation is operating at 100% completion with zero missed shifts 

“The on-ramp for innovation”

For Shafaee, these three stories are proof of something bigger.

The industry has for years looked to technology companies to define what’s possible. What 2026 is beginning to show is that operators themselves, meaning those closest to the work, the residents and the staff, are becoming the most important source of innovation. The platforms they build on matter, but the ideas are increasingly coming from the inside out.

“Systems need to be built around the people who use them, not around the work they do,” he says. “And we want ALIS to be the on-ramp for innovation.”

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.

This Views article is sponsored by ALIS. To learn more, visit https://www.go-alis.com/.

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