Billing
ConversationalCPT/ICD-10 coding, E/M level, underpayment risk
Every agent below is in the live registry. 19 are conversational — you talk to them in the AI Assistant — and 21 work inside specific workflows. Every agent drafts or proposes; a person approves. Each reports confidence on its output, routes anything uncertain to a human, and can be switched off with one switch — autonomy is yours to dial.
Meet your agents live →CPT/ICD-10 coding, E/M level, underpayment risk
Predict and prevent claim denials with CARC/RARC fixes
Triage claims lifecycle — clean, appeal, write-off
Draft PA packages with clinical justification
14-day and 90-day cash flow forecasting
Signature-workflow payer-appeal letters for denied claims
Payer dispute letters for claims paid below contract
Draft charges + line items for completed encounters
Audit charge-capture drafts for missed add-on codes
Pre-visit cost estimates as front-desk scripts
No-show risk prediction and demand forecasting
TCPA-compliant SMS/email outreach and recall sequences
Multi-segment campaigns with A/B arms and ROI estimates
Verify demographics, insurance, and missing intake fields
Lifetime value scoring and churn risk segmentation
Draft complete specialist referral packages
Daily recall worklist ranking
Drafts supportive check-ins and replies about a signed functional-medicine protocol
Find today's appointment and open real ambient charting
Summarize written notes and telehealth call recordings
Open HEDIS/MIPS gaps and closure recommendations
Chronic burden, HCC suspects, and polypharmacy flags
Audit documentation vs billed E/M codes
Detect anomalous PHI access and suspicious patterns
MIPS/QPP composite scoring and improvement planning
Provider productivity, burnout scoring, staffing needs
Pre-prescribe safety checks and sig suggestions
Interpret PHQ-9/GAD-7 outcome-measure trends
Pre-visit brief compressed into a 20-second read
Post-visit coding review: missed add-ons + time-banded CPT
Term extraction for catalog-grounded ICD/CPT coding
Organises a submitted functional-medicine intake for clinician review
Routes cross-line signals in functional-medicine records to the right team as tasks
General-purpose practice management assistant
Plan-graph workflow orchestration across agents
Closed-loop prompt-candidate generation meta-agent
Diagnose why an agent output was rejected
Self-critique meta-agent for structured outputs
HIPAA-safe public replies to patient reviews
Themed sentiment analysis across patient reviews
40 agents in the live registry, in 4 pods: Revenue 10, Patient engagement 8, Clinical 15 and Platform 7. 19 are conversational agents you can talk to in the AI Assistant; the other 21 work inside specific workflows as drafters, critics, coders and platform meta-agents. 3 of them work only in functional medicine, which is in early access, and are labelled "Early access". Agents that are switched off pending a review are not listed.
No. Every agent drafts or proposes, and a person approves. Agents report a confidence score on their output and route anything uncertain to a human for review, and patient communication is draft-only by default. eRx changes specifically require TOTP-gated two-factor confirmation from a clinician — an agent cannot submit a prescription unsupervised.
Yes. Every agent has its own kill switch, independent of the others in its pod. You can run Scribe and Grounded Coder while leaving Smart Scheduling or Review Reply off, and change that at any time.
Grounded Coder retrieves from a verified 98,186-code ICD-10-CM catalog rather than generating codes from a language model. A code is always selected from the catalog, never invented, and every selection is logged in the audit trail.
Low-confidence outputs are routed to a human reviewer instead of being auto-submitted. This applies across every pod — a denial-prevention flag, a coding suggestion, or a drafted note can all be held for review rather than pushed through automatically.
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