Healthcare
AI for care teams. Clinician in the loop. Always.
The average physician spends 2 hours on administrative work for every 1 hour with a patient. Nurses document for 25–40% of every shift. Prior authorization denials delay care for weeks. After-hours calls go unanswered or go to voicemail. None of this is why anyone went into medicine.
Syntic AI handles the operational work that pulls clinicians away from care — documentation, prior authorization, appeals, inbox triage, patient communication, after-hours coverage — drafted for review, with clinician sign-off on anything that touches a patient. Deployed inside your privacy boundary. PHI never leaves your environment for training. Compliant with HIPAA in the US, GDPR in Europe, and equivalent frameworks worldwide.
Why health systems choose Syntic AI
Healthcare AI either does too little or promises too much.
Most AI in healthcare stops at autocomplete — useful for a sentence, useless for the 2-hour documentation burden at the end of a 12-hour shift. The rest claims to replace clinical judgment — a promise that creates liability, alienates clinicians, and fails the first time the edge case arrives.
Neither addresses the actual problem. Clinicians are leaving medicine not because the work is too hard but because the administrative burden on top of the work is unsustainable. Revenue teams aren't losing because of poor clinical outcomes — they're losing because prior authorizations take three weeks and appeals take longer. Patients aren't abandoning their health systems because care is bad — they're abandoning them because they can't get through on the phone.
Syntic AI fixes the operational layer. The documentation burden. The prior auth cycle. The inbox that never empties. The front desk that can't answer every call. All of it drafted for clinician review, with sign-off enforced on anything that touches patient care. We work alongside your clinical, revenue cycle, and patient communication teams — not around them, not instead of them.
Three ways health systems work with us
Platform deployment
Syntic AI deployed inside your environment, integrated with your EHR, your billing systems, and your patient communication channels. Single sign-on, audit logging, role-based access, and the clinical workflow integrations care teams actually use.
Workflow pilots
Start with one workflow, like ambient documentation, prior authorization, or after-hours triage. A fixed-scope, fixed-price pilot. Validate the workflow in your environment with your data before broader rollout.
Custom engagements
For health systems with specific protocols, formularies, or research workflows: we tune our model to your organisation's clinical patterns, your documentation templates, and your domain corpus. Deployed inside your environment. Scoped as a multi-year partnership.
Where Syntic AI helps your teams
Across documentation, revenue, access, and research
The operational work that consumes clinician and staff time, drafted for review, with a clinician in the loop wherever care is touched.
Clinical documentation
Ambient documentation, drafted for review
Capture the visit. Structure the note to your template — SOAP, DAP, BIRP, or your organisation's custom format. Surface the elements that need clinician judgment explicitly. Post the draft to your EHR for review and sign-off. The clinician reviews, edits, and signs. Nothing enters the chart without their approval. The 20-minute note that used to happen after the last patient of the day becomes a 3-minute review that happens before the next one.
Inbox and message triage
Patient portal messages triaged with clinical logic — urgent cases surfaced immediately to the right clinician, routine requests drafted for review and approval, refill requests checked against the chart before routing. The inbox that consumes 30 to 60 minutes of clinician time every day — time that happens before 8am, after 6pm, and through lunch — reduced to minutes of review. Clinicians stop dreading the inbox and start finishing it.
Letters and summaries
Referral letters that give the receiving clinician everything they need. Discharge summaries that patients can actually understand. After-visit instructions in the patient's language, at the right reading level, drafted from what's already in the chart. Ready for clinician review in seconds. Nothing leaves the chart or reaches the patient without approval.
Revenue cycle
Prior authorization
Cross-reference coverage requirements against the clinical documentation before the request goes out. Identify the documentation gaps that cause denials before they cause denials. Assemble the prior authorization request with the supporting evidence from the chart, formatted to the payer's requirements. The average prior authorization takes 11 days and 13 hours of staff time. Syntic AI compresses both. Care gets to patients faster. Staff stops spending half their week on phone holds with insurance companies.
Claims appeals
Evidence-backed appeals with policy citation, clinical documentation excerpts, and the specific grounds for each denial addressed directly. Drafted so a payer reviewer can adjudicate quickly, which means your appeals succeed more often and faster. Every appeal is reviewed and signed off by your revenue cycle team before it goes out. Syntic AI doesn't fire off appeals autonomously — it drafts them so your team can review and send in a fraction of the time it takes to write from blank.
Coding support
ICD-10 and CPT suggestions grounded in clinical documentation, with the reasoning attached. Suggested codes that hold up when payers audit. The coder reviews and finalizes; Syntic doesn't code autonomously.
Patient access and communication
Front desk acceleration
Help your front desk handle the call volume that currently means patients wait on hold for 20 minutes or give up and go elsewhere. Appointment scheduling, FAQ resolution, insurance verification, and intake form processing — handled at scale, in the patient's language, around the clock. Your staff handles the calls that need a human. Syntic AI handles the routine ones. Every AI-handled interaction discloses that AI is involved, as required. Every call that needs escalation reaches a human immediately.
Multilingual patient communication
Reach patients in 40+ languages — across phone, SMS, the patient portal, WhatsApp, and messaging channels — without asking them to navigate in a language they don't speak well. For health systems serving diverse communities, language access isn't a feature. It's an equity requirement and, in many jurisdictions, a legal one. Every patient communication includes appropriate consent flows, opt-out handling, and the audit trail that TCPA in the US, GDPR in Europe, and equivalent communication laws worldwide require.
Care coordination
Appointment reminders, no-show outreach with consent, medication-adherence check-ins, and post-discharge follow-up, with escalation to staff when human attention is needed. Configured to your patient consent flows and local communication regulations.
Research and population health
Clinical research support
Literature review across thousands of papers in hours. Cohort identification from your patient population against trial eligibility criteria. Trial matching for patients who might benefit. Study design support with precedent from the literature. Protocol drafting against regulatory requirements. The work that defines clinical research output — and that currently consumes as much researcher time as the research itself — accelerated without compromising the scientific rigor it depends on.
Population health
Personalized, on-policy outreach to care-gap lists, with configurable consent flows, designed for the regulatory frameworks population health programs actually operate under.
Quality and reporting
Quality measure reporting, accreditation evidence (Joint Commission, CMS, and equivalent international bodies), and audit trail generation for clinical and operational quality work.
Custom models for your clinical practice
Tuned to how your organization actually works
For health systems where your clinical protocols, your formularies, your documentation standards, and your historical data define the quality of care you deliver — a general-purpose configuration isn't enough. Syntic builds dedicated configurations tuned to your organisation's specifics.
A configuration that reads like your clinical team wrote it.
Scoped as a multi-year partnership, priced per organisation, tuned to your protocols, and validated against your existing workflows and quality metrics before broader rollout. Not deployed until your clinical and compliance leadership has signed off.
- Tuned to your protocols, templates, and clinical patterns
- Trained on your historical documentation and quality data, with appropriate consent and de-identification
- Deployed inside your environment: single-tenant runtime, your data, your boundary
- Validated against your existing workflows before broader rollout
- Built and refined alongside your clinical and revenue cycle leadership
How we work with health systems
One workflow first. Validated. Then scaled.
We don't ask health systems to make a platform commitment before they've seen the workflow perform in their environment, on their data, with their patients. Every engagement starts with a fixed-price scoping, moves to a measured pilot with pre-defined success criteria, and only scales when your clinical and compliance leadership have signed off at every gate.
Step 1
Scoping
4 to 6 weeks. We map the workflow, your EHR, your existing tools, your compliance requirements, and your privacy posture. The output is a written program plan with deliverables, pricing, and a delivery timeline. Fixed-price.
Step 2
Pilot
One workflow. One department. Fixed scope, fixed price. Real data under BAA and appropriate privacy controls. Measurable outcomes defined and agreed before the pilot begins — not chosen after the results are in. Most pilots run 8 to 16 weeks. The deliverable is a clear answer: does this workflow perform against the criteria your clinical and operational leadership set? If yes, you have the evidence to scale. If not, you have an honest evaluation and no long-term commitment.
Step 3
Validation
Clinical validation, compliance review, and workflow integration testing. Your clinical and compliance leadership signs off before broader rollout.
Step 4
Rollout
Phased deployment across departments and locations. Integration with your EHR, billing, and patient communication systems. Training and change management support.
Step 5
Partnership
Ongoing optimization, new workflows, and continuous improvement. Most engagements run as multi-year partnerships.
Security, compliance & privacy
Built for the frameworks healthcare operates under
Privacy, healthcare-specific controls, communication law, and data ownership. Wherever you operate, the requirements are the starting point.
Privacy frameworks
United States: HIPAA, with BAA available on enterprise plans
European Union: GDPR, including special category data
United Kingdom: UK GDPR and DPA 2018
Canada: PIPEDA and provincial frameworks (PHIPA Ontario and others)
Australia: Privacy Act and My Health Records Act
India: DPDP Act and healthcare-specific frameworks
Other jurisdictions: equivalent national privacy frameworks supported
Healthcare-specific
42 CFR Part 2 alignment for substance use disorder treatment data (US)
HITRUST CSF, assessment roadmap defined
Joint Commission and CMS quality reporting support (US)
Equivalent quality and accreditation frameworks supported internationally
General compliance
SOC 2 Type II, in progress
ISO 27001, in progress
Penetration testing reports available under NDA
Region-pinned data residency
Data and IP
PHI never used to train models
Dedicated single-tenant runtime per organization
Customer-controlled key management
Customer-controlled audit logging
Granular role-based access
Communication compliance
TCPA compliance for US patient outreach, with consent flows and opt-out handling
Equivalent communication law support for non-US patient outreach
Patient AI disclosure on all AI-handled communications
Clinician sign-off enforced on all clinical outputs
The model behind the platform
Tuned for clinical work. Inside your runtime. PHI never leaves.
Syntic AI runs on our own frontier model — built from scratch, not licensed from a third party. For healthcare, that matters because it means the model operates inside your dedicated single-tenant runtime, under your BAA, with no data flowing to a third-party model provider whose data handling practices are outside your control. Your PHI never trains shared models. Your patient data never leaves your privacy boundary.
Standard
Daily use across documentation, inbox triage, prior authorisation, appeals, and patient communication. Handles clinical language, structured EHR data, and regulatory frameworks as first-class capabilities.
Deep reasoning
Extended thinking for the harder cases: complex multi-condition documentation, edge-case coverage logic, research protocol design, and appeals where the clinical and policy arguments are genuinely difficult. Shows its full reasoning chain so clinical and revenue cycle teams can review and refine before anything goes out.
Custom
A configuration tuned to your organisation's clinical protocols, documentation templates, formularies, and historical data. Deployed inside your environment. Validated against your workflows before rollout. Built and maintained as a multi-year partnership with your clinical and compliance leadership.
A note on clinical claims
Syntic AI is configured as clinician-in-the-loop assistive technology. We do not market our system as a medical device. We do not make diagnostic claims. We do not generate clinical content that bypasses clinician review. Every output that touches patient care is a draft for clinician sign-off — not an autonomous action. That is not a limitation of the platform. It is a deliberate design decision, and it is not configurable away.
Who we work with
Built for the teams that actually deliver care.
Health systems and hospital networks. Group practices and ambulatory clinics. Digital health and telehealth platforms. Federally Qualified Health Centers and community health centers. Public health agencies. Specialty practices across oncology, cardiology, behavioral health, orthopaedics, and primary care. Dental and vision networks. Long-term care and post-acute facilities. Research hospitals and academic medical centres.
The common thread isn't size or specialty. It's that clinicians are spending too much time on work that isn't care, and patients are experiencing the consequences. If that's your organisation, this is where the conversation starts.