The current app works
Staff are trained, workflows are settled and a rebuild would disrupt care for months.
Add an AI Scribe to Existing EHR Software
Add an AI Scribe to Your Existing App or EHR
You already have working software. We add ambient recording, AI-drafted notes, clinician approval and write-back to it, so your team gets AI documentation without a rebuild or a platform switch.
- Documentation time per patient in our SureScribe build
- 60+ → ~20 min
- Documentation time per patient in our SureScribe build
- Nothing reaches the record until a clinician approves it
- Clinician-approved
- Nothing reaches the record until a clinician approves it
- Athenahealth and CharmHealth write-back shipped
- 2 EHRs
- Athenahealth and CharmHealth write-back shipped
- AI added to the software you already use
- Keep your tools
- AI added to the software you already use
What Is This Service?
AI added to the software you already trust
Many clinics, treatment programs and health-tech companies have an application that works: clinicians know it, data lives in it, and reports depend on it. What it lacks is an AI recorder that turns a conversation into the note or form the clinician would otherwise type.
Replacing that software to get AI is expensive and risky. Our service adds the AI layer to what you have: audio capture inside your current app, a pipeline that turns the conversation into structured drafts in your formats, a review screen where clinicians edit and approve, and write-back to your existing database or EHR.
We built these same pieces for SureScribe, including write-back to Athenahealth and CharmHealth, where documentation dropped from more than an hour to about 20 minutes per patient.
Business Challenges
Why teams choose to add rather than rebuild
Data and reporting live there
Years of records, billing and compliance reporting depend on the existing data model.
Off-the-shelf scribes don't fit
Generic scribes produce generic notes and rarely write into custom forms or niche EHRs.
Budget and risk
A focused AI addition costs less and can be piloted with a few clinicians before wider rollout.
Features & Capabilities
What we add to your application
Audio capture in your current app
A record button on web or mobile, with consent prompts, pause and resume, and secure upload, added to your existing screens.
Transcription tuned to your setting
Speech engines benchmarked on your sessions, with speaker separation and clinical vocabulary.
Note and form pipeline
Multi-stage AI that fills your note sections or form fields as drafts, following your templates rather than a generic format.
Clinician review and approval
Side-by-side transcript and draft, inline edits, and explicit approval before anything is saved.
Write-back
Approved content is written to your database or EHR through its APIs, so the record of truth stays where it is today.
Security and audit
Encryption, role-based access, audit logs and defined retention for audio and transcripts.
Business Benefits
Business value designed into the system
No migration
Your data, forms, integrations and reports stay exactly where they are.
Faster to value
A proof of concept on one workflow in about four weeks, before any larger commitment.
Existing workflows preserved
Clinicians keep the screens they know; the AI appears as a helper inside them.
You own the result
The AI layer is part of your product, configured to your templates and vendors.
Our Process
How we add AI to working software
Discovery
We review your application, tech stack, data model, target notes or forms and integration points, and agree what success looks like.
Audio capture
We add recording to your current app, including consent and failure handling for poor connectivity.
Note pipeline
We build transcription and the multi-stage prompts that produce drafts in your formats, with an evaluation set.
Clinician approval
We add review, edit and approve screens that fit your existing interface.
Write-back
Approved content is saved to your database or EHR, with audit history.
Pilot and rollout
A pilot group uses it in real work; we measure, fix and then expand.
Technologies We Use
A production stack selected for your requirements
We work with your existing stack and add only what the AI layer needs. Model and speech providers are chosen by measured results on your data.
- AssemblyAI
- AWS Transcribe
- Whisper
- OpenAI
- Anthropic
- LangChain
- RAG
- Python
- FastAPI
- React
- React Native
- PostgreSQL
- AWS
- FHIR
Who It's For
Teams with software they want to keep
Behavioral health and addiction treatment
Assessment and session documentation added to an existing app or EHR.
Clinics and specialty practices
Custom or niche EHRs that generic scribes do not write into.
Home health and care teams
Visit notes captured in the field app caregivers already use.
Health-tech companies
Product teams adding ambient documentation to their own platform.
Why Torch Solutions
Why add AI with Torch Solutions
Proven building blocks
Capture, multi-stage notes, clinician approval and EHR write-back, all shipped in SureScribe.
Comfortable in other people's code
We work inside existing web, mobile and backend codebases and alongside your developers or vendor.
Small first step
A scoped proof of concept shows real results before you commit to a full integration.
Compliance from the start
PHI flows, vendor agreements, access and retention are designed before the first recording.
Related Case Studies
The same approach, in production
SureScribe AI Clinical Documentation Platform
HIPAA-aware AI scribe: clinical speech recognition, multi-stage LLM notes, clinician approval and Athenahealth / CharmHealth integration. Documentation cut from 60+ to about 20 minutes per patient.
Read Case Study →Engagement & Timelines
A typical engagement
Scoped to your application and one or two workflows first.
Discovery
About 1–2 weeks
Codebase and integration review, target workflow and success criteria.
- Integration assessment
- Architecture and data-flow plan
- Estimate
Proof of concept
About 4 weeks
Recording to approved draft for one note type or form.
- Working prototype
- Evaluation results
- Plan to production
Integration and pilot
Typically 4–8 weeks
Built into your app with write-back, then piloted with clinicians.
- Capture, review and write-back in your app
- Audit logging
- Pilot support
Timelines depend on access to your codebase or vendor, available APIs and the number of note types.
Related Services
Combine this capability with the application, cloud, data, integration, and product engineering required to operate it reliably.
Frequently Asked Questions
Questions about Add AI to an Existing App
Can you add an AI scribe to an app another vendor built?
Usually, yes. We need access to the source code, or to APIs or extension points the vendor provides. During discovery we confirm which route is possible and what the vendor must support.
What if our app is an older HTML or web application?
That is common. Recording can be added to most web applications in the browser, with the AI pipeline running as a separate secure service that your app calls.
Will it change how our clinicians work?
As little as possible. They stay in the screens they know, press record, then review and approve a draft instead of typing it. Existing forms and workflows are preserved.
Where does the audio go, and is it kept?
That is your decision. We design where audio and transcripts are processed and stored, which vendors receive them under appropriate agreements, and when they are deleted.
How is this different from buying an AI scribe subscription?
A subscription gives you the vendor's note formats and integrations. Adding AI to your app gives drafts in your own forms, written into your own system, with control over vendors and data.
How much does it cost?
Cost depends on your application, the number of note types or forms and integration depth. We provide a written estimate after discovery.
Have working software and want AI added to it? Contact Torch Solutions.
CustomSoftware DevelopmentCompany
Ready to Solve the Right Software Problem?
Talk with an experienced software team about your goals, workflows, users, integrations, and technical risks before you commit to a roadmap, architecture, or development budget.