Where we’re going
We start by getting new hires to their first shift. Where we’re going: AI employees that know your practice, finish routine work across teams and help you see what needs attention before it costs you.
Building towardExampleGetting new people to their first shift is the job Rōvn does today. The same thread can carry more of the practice’s work.
Today
New hires, from signed offer to first shift.
Building toward
The whole practice, on one thread.
Building towardExampleAn example of where we’re going. Each step shows what it could change.
Step 1
Know this practice.
The real steps, who owns what, the systems and the exceptions. A small clinic, a home health team and a multi-site group don’t work the same way.
Could change: time
Building towardExampleStep 2
Finish the job across hand-offs.
A task starts with a person, needs a check, waits on a decision and ends in a schedule. It keeps moving between teams instead of landing in another inbox.
Could change: time
Building towardExampleStep 3
See what could hold the team back.
Visit demand rises while a new clinician’s start slips. Check the need, the open requirement, the schedule and the free rooms before promising more capacity.
Could change: capacity
Building towardExampleStep 4
Help people choose.
Lay out the options, what each one fixes and what it costs. Then carry out the one that’s chosen, and show where a person has to decide.
Could change: cost
Building towardExampleStep 5
Learn from what happened.
Did the person start? Were the visits used? Did the team chase less? The answer makes the next plan better.
Could change: time, capacity and cost
Building towardExampleHowever far it goes, these stay the same.
People decide
The AI prepares the options. Where a decision matters, a person makes it.
Built on your practice
It works from your own steps, rules and people.
You can see why
Each suggestion shows what it’s based on and what it would change.
It starts with hiring
Getting new people working is the first job, and the one we do today.
Can Rōvn do all of this today?
Not yet. We’re building the first part now: getting new hires from signed offer to first shift, and showing who can start, practice and bill. The rest of this page is where we’re going.
What Rōvn does todayWill the AI make decisions for us?
No. It prepares the options, explains what each one changes and shows where a person needs to decide. People make the calls.
How would it learn our practice?
From the work your team does: your steps, who owns what, your systems and your exceptions, and from the results of what it did.
Where should we start?
With one workflow that slows you down today, usually getting a new hire to a first shift. A six-month pilot shows what changes.
How the pilot runs