Documentation, scheduling,
and triage that scale.

Ambient clinical documentation, AI scheduling, async-care triage, and patient-communication automation. HIPAA-compliant by default. Deployed alongside your clinical team, not in place of it.

The problem

Most clinical AI is built for the demo, not the floor.

Ambient scribes that work in a quiet exam room break down in a busy primary-care clinic. AI schedulers tuned for single-specialty groups misroute multi-specialty referrals. Async triage tools written for venture-funded telehealth do not survive a state-licensed practice.

The work is not building the model. It is integrating with the EHR, mapping to the practice’s actual clinical workflow, and operating it day-to-day with the protocols a HIPAA programme demands.

Famaash deploys clinical AI alongside the practice, augmentation not autonomy, and operates it as a managed service, with PHI segmented from non-PHI workflows and audit logs retained seven years.

How we run it

Four workflows, one operating posture.

Ambient documentation on the front, scheduling AI in the middle, async triage at the back, and patient communication that spans all three.

01

Ambient documentation

HIPAA-compliant ambient scribe deployed per clinician, with note-quality QA and EHR-native handoff. Clinician sign-off remains the gate.

02

Scheduling AI

Multi-specialty scheduling AI, no-show prediction, and capacity-aware booking that respects payor and credentialing constraints.

03

Async-care triage

Symptom triage, prescription-refill routing, and clinician-loop hand-offs for telehealth and primary-care use cases.

04

Patient communication

Pre-visit reminders, post-visit instructions, multilingual outreach, and care-gap nudges aligned to clinical protocols.

Anchor results

A multi-state pediatrics network, 23 locations.

Hours returned
6.2 / wk
Per clinician
Note-quality pass
98%
After QA layer
No-show rate
−21%
After scheduling AI
Methodology

Sixty days from BAA to first clinician live.

IDays 1 to 14

BAA & protocols

  • BAA before any model access
  • Clinical-AI use-policy aligned with your CMO
  • Audit-log architecture stood up
  • EHR integration mapped
IIDays 15 to 60

Pilot

  • Ambient scribe live with 5 to 10 clinicians
  • Scheduling AI live in priority lines
  • Note-quality QA cadence in place
  • Clinician feedback loop weekly
IIIDay 61 onward

Scale

  • Roll-out to remaining clinicians
  • Async triage activated where appropriate
  • Quarterly clinical-AI audit
  • Annual model-version review
Related healthcare capabilities

Continue exploring the practice.

The healthcare audit

See where your pipeline
is leaking.

A four-question audit benchmarked against the Famaash anchor engagement. Numbers in your inbox the same day.