Scrivas wants the doctor back in the room

A patient encounter produces two things: a conversation and a record. The conversation can wander. The record must make sense to someone who was never in the room. Scrivas has built its business in the space between those two events, where a physician’s attention can get pulled from the person asking for help toward the computer asking for another field.

Its founder, pediatric emergency physician Fernando Mendoza, knew the problem from practice. Scrivas traces its beginnings to his effort to reduce documentation work in 2012. Human scribes were the original answer: someone beside the clinician, turning the encounter into a chart while the clinician kept moving. The Florida limited liability company was registered in March 2014.

That sequence matters. Scrivas approached medical software through a service business. It had to recruit people, train them, arrange coverage and learn how different physicians wanted their records written. Today it sells an ambient AI scribe called SAI alongside human documentation support. Its proposition is unusually practical: choose the amount of assistance that fits the work.

A person, a program, or both

SAI listens to an encounter and produces a structured draft. The physician reviews it before finalization. Templates can be adjusted for a specialty and an individual clinician’s preferences. The feature list extends to pre-charting, voice editing, coding suggestions and a clinical assistant that surfaces questions or considerations during the visit. Those suggestions still require clinical judgment.

The customers are healthcare organizations: hospitals, health systems and medical practices. Scrivas’s human scribe services cover emergency departments, urgent care, hospitalists and outpatient care. These settings share a paperwork problem, but their rhythms differ. A short urgent-care visit and a complicated hospital admission should not demand identical documentation workflows.

The company publicly announced SAI on July 30, 2024. Its launch offer included standalone software and combinations with virtual or onsite scribes. That flexibility remains central to its positioning. A practice can use AI alone, add a documentation specialist to check the draft, or retain an in-person scribe. Buying the software need not mean redesigning every clinician’s working day at once.

What the subscription buys

The current pricing page lists SAI Essentials at $115 per provider per month and SAI Plus at $175. Premium has custom pricing. Scrivas advertises five free notes and a 15% annual discount. Essentials covers documentation tools; Plus adds assistant functionality, customized templates and the availability of EMR integration. The distinction matters when comparing the subscription with the workflow a practice actually needs.

For ten providers, the listed monthly rates imply $1,150 for Essentials or $1,750 for Plus, before any individually scoped services. That is simple arithmetic, rather than a promised return. The purchase earns its keep only if the practice gets usable time back after review and correction. A fast draft followed by a long repair session is an expensive way to move typing around.

Scrivas therefore operates two businesses together: recurring software subscriptions and clinical support services. The latter include medical assistant staffing and patient experience liaisons. Liaisons make bedside rounds, call patients after care and help address concerns. These are people doing communication work that a completed medical note cannot do for a worried family.

The note has an author

In an August 2026 account of conversations at Pri-Med Tampa, vice president Alyssa Meza described a revealing complaint. Clinicians already using AI wanted less editing, better handling of complicated visits and notes that matched their preferences. A document could be technically acceptable and still feel wrong to the physician expected to sign it.

That observation helps explain Scrivas’s emphasis on customization. Formatting and phrasing are part of how a clinician organizes information for the next encounter. If software repeatedly scrambles that organization, the physician becomes its editor. Meza’s account says conference feedback reinforced development choices the team had already made; it describes validation rather than a sudden corporate conversion.

This gives a buyer something concrete to copy. Test the tool on representative encounters, including the awkward ones. Count the minutes spent correcting the draft and moving it into the chart. Compare the result with the existing process. The meaningful unit is a finished, reviewed note. A polished demonstration is a useful beginning; an ordinary clinic day is the harder audition.

The meaningful unit is a finished, reviewed note.THE BUYER’S TEST

People remain part of the machinery

Scrivas’s training program offers a clue to the expertise behind its pitch. A November 2023 company article describes three days of classroom instruction for incoming scribes, covering terminology, anatomy, privacy, electronic records, coding and communication. Medical professionals, experienced scribes and billing personnel contribute. The job involves selecting and organizing information, as well as catching the words.

There is also a career ladder inside the operation. Operations director CJ Moore joined as a medical scribe in 2018 before progressing through supervisory and management roles. Technology director Louis Farrell previously directed training. These biographies connect the software effort to people who have dealt with implementation and documentation quality as daily operating problems.

Against an AI-only tool or an EHR’s built-in assistant, Scrivas’s clearest distinction is the available service layer. That is a difference in what it sells, not proof that its model writes better notes than every rival. Its appeal is strongest where clinician preferences vary or where a practice wants help adopting the technology.

Keep the signature human

The safeguards are part of the product’s usefulness. Scrivas says SAI provides a business associate agreement, uses US-based AWS infrastructure and has undergone SOC 2 Type II auditing. Its published policy says encounter audio is deleted after note completion, while transcripts and notes follow customer-defined retention windows. Audio deletion does not mean the entire encounter record disappears.

The company also requires physician review before AI notes are finalized. A clinic that cannot make time for that review is a poor fit for the workflow. So is one whose required EHR connection or documentation format cannot be supported on acceptable terms. Integration should be demonstrated in the intended setup, particularly because plan features differ.

At SAI’s public debut, Mendoza put the objective plainly: “Physicians have become overwhelmed with paperwork, taking us away from being able to spend quality time with patients.” Scrivas is selling a way to redistribute that work. The test is refreshingly ordinary: when the next patient starts talking, how much of the doctor’s attention is available?