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AI Medical Scribe & Clinical Documentation Agent

Ambient AI medical scribe that drafts SOAP notes from every encounter and cuts physician documentation time by 50%. Built and integrated by Bonami X AI.

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Award-Winning AI Development & Consulting

100 Fastest Growth Companies
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Top App Development Company
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100 Fastest Growth Companies
Global Spring Winner
Top App Development Company
AWS Partner Network
Google Cloud Partner
Highly Rated on Trustpilot
Verified Agency
Top App Development Company
ASSOCHAM Member

Clinical & Front-Office

The Documentation Burden Driving Physician Burnout

Physicians spend 49.2% of their workday on EHR and desk work — only 27% with patients. Excessive documentation is the top burnout driver for 65% of physicians, with each departure costing $500,000–$1,000,000 to replace.

Read the full evidence

2hrs Bonami's agent reduces documentation time by 50–72% and captures every billable diagnosis through concurrent CDI analysis.

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Business impact

72%

reduction in physician documentation time achieved by AI clinical documentation agents in peer-reviewed clinical deployments — reclaiming hours for patient care daily

2hrs
For a 200-physician practice, one hour saved per physician per day unlocks $2M–$5M in annual encounter capacity.

Core Capabilities of the AI Clinical Documentation Agent

Six capability pillars — from ambient capture and SOAP note generation to CDI analysis and revenue cycle intelligence.

01

Ambient AI & Note Generation

Ambient capture identifies complaints, findings and diagnoses in real time — no dictation.

02

Multi-Format Clinical Notes

SOAP notes, H&P, progress notes, operative reports and after-visit summaries.

03

CDI Analysis & Documentation

Flags missing diagnosis specificity, CC/MCC and DRG gaps before the physician signs.

04

Discharge & Prior Auth Docs

Discharge summaries in minutes, not 45–90.

05

EHR & HL7 FHIR Integration

Certified Epic, Oracle Cerner, Meditech, Allscripts and athenahealth write-back.

06

Revenue Cycle & Coding

ICD-10-CM and CPT code sets at the point of documentation, cutting coding lag to hours.

How the AI Clinical Documentation Agent Works

  1. Step 1

    The ambient intelligence engine listens to the physician-patient encounter and recognises clinical entities, symptoms, medications, diagnoses, and care plans as they are discussed, beginning to structure the clinical note before the encounter has ended

  2. Step 2

    Generated SOAP notes, H&P documents, and progress notes are structured to your organisation's clinical templates and mapped to ICD-10-CM, CPT, and SNOMED CT codes — ready for EHR submission and billing in minutes, not hours

  3. Step 3

    CDI analysis runs against every completed note before finalisation — missing CC/MCC codes, under-specified principal diagnoses, and DRG optimisation opportunities are flagged with specific clinical query recommendations for the attending physician

  4. Step 4

    Every generated document is written to an immutable audit trail with source attribution — every clinical assertion traceable to the encounter audio, EHR data, or physician input that generated it, satisfying medical-legal documentation standards

Why Choose Bonami's AI Clinical Documentation Agent

Physicians lose 49.2% of the workday to EHR work — only 27% goes to patients.

AI Clinical Documentation Agent outcomes

50–72% Reduction in Documentation Time — Validated in Clinical Deployment

Physicians review an AI-prepared note in 5–10 minutes, not 30–90.

CDI Intelligence That Captures Every Billable Diagnosis at the Point of Care

Concurrent CDI analysis closes documentation gaps before the note is finalised.

HIPAA-Compliant by Architecture — Not by Policy

Encryption, least-privilege access, BAA coverage and immutable audit logs by design.

Integrations

Works With Your Existing EHR and Clinical Infrastructure

The AI Clinical Documentation Agent connects to leading EHR, medical coding, and revenue cycle platforms.

7 named systems it connects to

Running something not listed here? Tell us on the call — scoping the connector is the first step.

Bonami X AI AI Clinical Documentation Agent
  • Epic logo Epic
  • Oracle Health logo Oracle Cerner
  • Meditech logo Meditech
  • athenahealth logo athenahealth
  • Workday logo Workday
  • ServiceNow logo ServiceNow
  • Allscripts logo Allscripts

AI Clinical Documentation Agent — FAQs

[ 1 ]

What is an AI medical scribe?

An AI medical scribe listens to the encounter and drafts a structured SOAP note in real time. Physicians sign in 5–10 minutes.

[ 2 ]

It drafts the note, runs a CDI gap check, and generates discharge and prior auth documents — the physician signs.

[ 3 ]

One tap starts ambient capture — no dictation. A SOAP note waits in the EHR; documentation drops to 3–8 minutes.

[ 4 ]

Studies report 95%+ capture of key clinical facts, with physician-in-the-loop review covering any gaps.

[ 5 ]

Epic, Oracle Cerner, Meditech Expanse, athenahealth and Allscripts, via SMART on FHIR R4 read and write-back.

[ 6 ]

Before signing, it flags unspecified ICD-10 codes, undocumented CC/MCC and secondary diagnoses as ACDIS queries.

[ 7 ]

AES-256 encrypted audio, no PHI retained after the session, immutable audit logs and a BAA before deployment.

[ 8 ]

Yes — HCC capture flags chronic conditions missing from the note, lifting risk score capture 8–15%.

[ 9 ]

50–72% less documentation time, lower attrition, CDI uplift and fewer denials — payback inside the first quarter.

[ 10 ]

Scribe software needs dictation or a human transcriber; ambient documentation drafts the note from natural speech.

[ 11 ]

It runs as clinical documentation software inside the EHR, writing the signed note back as the official record.

Physicians Spend Two Hours on Documentation for Every One Hour of Direct Patient Care.

Every hour a physician spends on documentation is an hour not spent on patient care, clinical leadership, or the professional satisfaction that sustains long-term practice. Get a live demo of the AI Clinical Documentation Agent capturing an encounter and generating a complete clinical note — then see the CDI analysis that runs before the note is finalised.

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AI Clinical Documentation Agent
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