Give clinicians their time back.
AI that fits into clinical workflows: documentation, triage, scheduling and coding, built with privacy, auditability and a human in the loop.
- 48–72 HOURS
- TOP 3% ENGINEERS
- 100% REPLACEMENT
Clinical teams do not need another screen. They need less typing, fewer clicks and fewer evenings spent finishing notes. We build AI into the tools clinicians already use. The AI drafts and sorts. The clinician reviews and decides. Every output can be traced to what the system saw. We work to that rule on every project, because in healthcare a tool that is clever but untrusted will simply not get used.
- 48–72hfrom first call to engineers in your standup
- Top 3%of applicants, vetted for the work
- 100%replacement guarantee on every hire
What we do.
AI-assisted clinical documentation
that drafts notes for clinician review. The clinician edits, signs and owns the final record.
Intake, triage and scheduling automation.
Forms, messages and referrals are read, sorted and routed, with urgent or unclear cases sent to a person.
Coding and billing support with human sign-off.
The system suggests codes with the supporting text highlighted. A coder confirms.
Integration with EHRs through HL7 and FHIR.
These are standard ways for health systems to exchange data. We use them where your systems support them and write careful adapters where they do not.
Privacy and compliance by design (HIPAA, audit logs, access controls).
Role-based access, minimal data use, encryption and a record of who saw what. We build to the rules that apply to you and work with your compliance lead.
Who this is for.
A clinic group where doctors finish their charting at home.
A medical director who wants to try AI documentation but needs clinician control and a clear audit trail.
An operations head whose front desk spends the day re-keying data between systems.
A health-tech product team adding AI features and needing engineers who understand clinical data.
A practice manager dealing with late claims caused by late or incomplete notes.
How we work.
We start with a clinician, not a model. We watch a real clinic session, map where time goes and agree one workflow to improve. Then we build in short cycles with a small group of clinicians who test it daily and tell us what is wrong. Nothing reaches the wider team until that group trusts it.
What you get.
A mapped workflow with time measured before we change anything.
A working feature inside your EHR or alongside it, not a separate tool to log into.
Data mapping documents and tested interfaces for your connected systems.
Access controls, audit logs and a review process for AI outputs.
Clinician-facing training notes and a one-page guide to what the tool does and does not do.
Measured results from the pilot, compared with the baseline.
- Top 3% of applicants
- Start in 48–72 hours
- Dedicated account manager
- 100% replacement guarantee
Typical timeline.
Integration with older EHRs can add time. We will say so at scoping.
- 01
Weeks 1 to 2
discovery. Clinic observation, baseline measurement, data and integration review, privacy and risk checks.
- 02
Weeks 3 to 6
build and pilot with a small clinician group. Daily feedback, fast fixes, review of every type of error.
- 03
Weeks 7 to 8
extend to more clinicians if the pilot results hold. Train staff and finalise the audit and access setup.
- 04
After that
monitor, tune and add the next workflow, or hand over to your team.
No. It drafts, sorts and suggests. Clinicians and coders decide. We build the review step into the workflow so nothing is committed without a person.
Related work and reading.
Case studyCutting physician charting time by 35% with AI-assisted documentationRead the story 
Case studyConnecting three EHR systems into one patient viewRead the story 
ArticleWhat clinical AI can (and can't) do safely in 2026Read the article 
ArticleThe hidden cost of manual clinical documentationRead the article
LET'S TALK. Start now.
Tell us what you're building. We'll come back with a plan and matched, pre-vetted engineers.
CONTACT