Hey everyone, Kamal here.
Over the last few weeks, I’ve been writing about:
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how hard it is to justify care plan / LOC changes when the acuity trail is fuzzy.
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how AI can improve operations in senior living as a visibility layer.
Here’s the next step if you’re nodding along:
I’m looking to work with 5 operators to quantify unplanned care and recover NOI in 30 days, without changing your EHR or existing workflows
Most buildings I talk to are missing one thing:
real-time visibility into planned vs unplanned care minutes (and what that means for staffing capacity + margins).
So decisions get made on lagging signals:
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staffing feels “tight” but no one can point to where the load is coming from
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unplanned care quietly grows (behaviors, falls risk, toileting assist, redirections, call lights, follow-ups)
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service plans/LOC stay static while care demand changes
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families feel inconsistency, staff feels burnout, NOI takes the hit
The goal is simple:
Can we identify and capture at least $250 NOI per occupied resident in ~30 days by making planned vs unplanned care costs visible and using that visibility to adjust service plans/LOC and staffing capacity?
This is for you if:
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you run assisted living/memory care
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you run on ALIS, PointClickCare or similar
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you feel “capacity is the problem” but don’t have clean visibility into the drivers
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you suspect you’re over-serving relative to current plans (or underpricing acuity)
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you want a practical system that helps the floor and gives leadership better signals
This is not for you if:
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you want a generic chatbot
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you already have clear, trusted visibility into planned vs unplanned care minutes by resident/unit/shift
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you can’t spare a couple short working sessions over the month to review signals + decide actions
What you get out of the 30 days
By the end of the 30 days, you should have:
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a clear, real-time view of where unplanned care is coming from (by resident/unit/shift)
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a concrete estimate of NOI you’re leaving on the table
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a usable acuity trail for at least a handful of residents where you can justify LOC / service plan changes with confidence
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a simple playbook your team can follow to keep visibility consistent even with turnover
If you’d like to see whether one of your buildings could be a fit for this:
– Reply NOI or
– Click below to run a quick NOI leak check on one building:
– Kamal Bhartiya, Founder & CEO at Fitmedik
Whenever you are ready, my team is happy to get your building started with AI. To see what’s working for other operators and identify your first AI-delegated workflow, book a 15min brainstorming session here.