Auxo AI · The Intelligence Layer
The only EHR that talks back.
Auxo’s assistant answers questions about your live data, builds finished reports from a plain-English sentence, drafts your appeals, calls your payers, and keeps your scribe honest.
Conversational over live data
Ask anything. Get the real answer.
Auxo queries your live record in real time — not a stale snapshot, not a vector search of summaries, not a BI dashboard you have to babysit. Every answer cites the rows it came from. Ask it a question, or describe a report in a single sentence and get the finished thing back.
“Which clients are at the highest risk of leaving AMA this week?”
3 patients. Common signal: missed group + meds-refused-twice + family contact lapsed.
“How much revenue is stuck in pending authorizations right now?”
$84,210 across 12 auths. BCBS TX is 61% of that. Want me to escalate?
“Show me clinicians whose notes are running 4+ days late.”
2 clinicians, 18 open notes. Pinging both with templates pre-drafted from session transcripts.
“Build me a report of admits by referral source this quarter.”
Done. Finished report with source breakdown, admit rate, and attributed revenue — ready to export or schedule weekly.
AI Scribe
Notes you can actually defend in court.
Most AI scribes hallucinate. Auxo’s won’t — because it can’t. Every claim is traced back to the transcript and tagged with its source.
Extract
Auxo transcribes the session in real time and extracts only the facts that actually appeared in the conversation — diagnoses, symptoms, statements made by the client. Nothing is invented.
Generate
Auxo composes the SOAP / DAP / BPS note from the extracted facts only — never from training data, never from inference past the source. The note is shaped by Auxo’s clinical templates, not a generic LLM’s best guess.
Verify
Every sentence is traced back to the transcript and tagged. If it can’t be verified, it’s flagged [NEEDS INPUT] for the clinician — not silently asserted.
Direct quote or paraphrase from the recorded session.
A clinically reasonable inference — explicitly labeled, not hidden.
The model didn’t see enough to assert this. Clinician must confirm.
Utilization Review
Rationales drafted in seconds — policy citations included.
Auxo maintains an indexed library of Tricare, BCBS, Aetna, Cigna, and state-parity policy — refined by 20 years of front-line clinical work. Auxo pulls the language that wins, every time. Not boilerplate — your last 3 wins, restructured for the case in front of you.
Patient continues to meet ASAM Level 3.5 criteria. Per BCBS TX clinical policy MED-9047.7, continued residential treatment is supported by:
- Persistent withdrawal-related anxiety + sleep disruption (Dim 1, 2)
- Active suicidal ideation w/o plan, mitigated by 24/7 supervision (Dim 3)
- Recent failed IOP attempt prior to current admission (Dim 5)
- Family system unable to provide sober environment (Dim 6)
VOB Automation
Verification of benefits in 90 seconds, not 90 minutes.
Three things happen the moment a card photo is dropped into Auxo.
Step 1
Smart card capture
Member ID, group, plan name, and customer service number lifted from the card photo in under a second — no typing.
Step 2
Real-time eligibility (270/271)
Plan, deductible, OOP max, behavioral-health coverage, and prior-auth requirements returned from the payer in seconds — across every major insurer.
Step 3
Auxo voice agent
If anything’s missing or unclear, our AI voice agent calls the payer’s line, navigates the IVR, and confirms benefits verbally — using scripts written by 20 years of admissions experience.
Alumni Engagement
Outcomes payors will pay for — 365 days after discharge.
Wellness check-in calls run automatically at 30, 90, 180, and 365 days. Each call captures sobriety, employment, housing, and mental health — and routes at-risk alumni back to a human.
“Hi Jordan, this is Maya from Clearfork — your 90-day check-in. How has your sleep been since we last spoke?”
Sobriety
90 days
Employment
Returned
Housing
Stable
Risk flag
Sleep ↓
Bring a question your current EHR can’t answer.
We’ll wire up a sandbox with sample data shaped like yours and demo the live response.