Patient triage chat
Conversational symptom triage in the portal — answers routine questions, sizes up urgency, escalates the rest to the right clinician.
Clinicle AI
One AI layer across patients, providers & payers
Clinicle AI isn't a chatbot bolted onto the side — it's the same model layer applied wherever it helps: documenting visits, coding claims, triaging patient messages, predicting denials, and forecasting demand. One record, many use cases.
See AI in action
Talk to our AI team
✓ Consent-first
✓ Human-in-the-loop
✓ Audit logged
✓ Model-versioned
By pillar
How Clinicle AI shows up for each side
Same model layer, different surfaces. Pick a pillar to jump to its capabilities below.
Patient AI
Helpful, not pushy
Lower friction for the people you care for — finding care, understanding care, paying for care.
- Symptom triage chat
- Plain-language visit summaries
- Smart appointment suggestions
- Voice-first booking & refills
Provider AI
More time with patients
The thickest layer today — every step from booking through billing has an AI assist.
- Ambient SOAP documentation
- Auto-coding & claims pre-check
- Prior auth automation
- Smart scheduling & rebalancing
- Inventory forecasting
- Voice-first navigation
Payer AI
Decisions, faster
Surface clinical context inside payer workflows — fewer back-and-forth requests, faster decisions, cleaner claims.
- Eligibility & coverage prediction
- Auto-fed prior-auth reviews
- Risk stratification
- Document extraction from provider records
- Outlier detection for FWA
Capabilities
Twelve places Clinicle AI already shows up
Each capability is wired into a specific module on a specific pillar. The list is the floor, not the ceiling — partners ship new use cases through the marketplace.
Pillar Patient AI
Plain-language visit summary
Generates a patient-friendly summary of the visit for the portal — same record, no clinical jargon, optional language translation.
Pillar Provider AI
Ambient documentation
Listens to the visit and drafts a structured SOAP note in ~30 seconds. Provider reviews and signs — no after-hours charting.
Auto-coding & charge capture
Suggests ICD-10 and CPT codes from the chart, catches missing modifiers, flags under-documented encounters before they leave the visit.
Prior auth automation
Reads the chart, fills the prior-auth form, submits to the payer, and tracks the decision. Care teams just review and respond.
Smart scheduling
Predicts no-show risk per slot, suggests overbooking patterns, rebalances the provider day in real time as the schedule shifts.
Claims pre-check
Scans claims against payer rules before submission, flags likely denials and suggests fixes — higher clean-claim rates without manual review.
Inventory forecasting
Predicts consumable, vaccine, and device usage per site. Restock orders go out before someone runs out.
Pillar Payer AI
Eligibility & coverage prediction
Predicts coverage gaps before the visit, suggests retroactive enrollment fixes, surfaces likely benefit caps for care planning.
Risk stratification
Identifies members at high risk and gaps in care, generates outreach lists tuned to HEDIS-style measures and program goals.
Spans all Cross-cutting
Document extraction
Insurance cards, faxes, lab PDFs, referrals — Clinicle reads them, pulls structured data, files it where it belongs in the record.
Voice-first navigation
Ask Clinicle anything: "Show me tomorrow's panel", "Find dermatology referrals this week", "Refill Sarah's metformin." It does the steps.
Live example
A visit, captured and structured in seconds
The most-shipped use case today: ambient documentation. With provider and patient consent, Clinicle listens to the visit, drafts the SOAP note, suggests codes, and stages the claim. Provider just reviews and signs.
~30s
To draft note
≈2 hrs
Saved per provider/day
100%
Generated, not pasted
Safety & governance
AI you can let into the chart
Clinicle AI is built for the realities of regulated healthcare — consent boundaries, audit needs, and the assumption that a human always signs.
Patient & provider consent
AI features that touch the visit (ambient capture, voice navigation) require explicit consent — captured, dated, and revocable per encounter.
AI suggests, humans sign
No AI artifact enters the record without a human reviewer. Notes, codes, claims, and auths all gate on staff approval.
Full audit trail
Every AI action — prompt context, model version, output, reviewer, timestamp — is logged and queryable.
Model version on every artifact
Each AI-generated artifact carries the model version that produced it. Roll back, compare, and re-run with newer models without losing history.
No training on your data
Patient data is never used to train shared models. Tenant-scoped fine-tuning is opt-in and isolated to your organization.
Per-org and per-user opt-out
Turn any AI feature off at the organization, site, role, or user level. Granular control over what runs and where.
See Clinicle AI on a real chart
Bring a sample workflow and we'll show ambient documentation, auto-coding, and prior auth running end-to-end in one workspace.
Book an AI demo
Compare pillars