Clinical documentation AI
Ambient and structured documentation support that gives clinicians hours back — with sign-off built in.
Industry
AI for Healthcare & Life Sciences
Reduce clinician burden and accelerate research with HIPAA-aware AI systems designed for clinical reality.
- 68%documentation time reduction achievable
- HIPAAaligned architecture from day one
- 100%clinician-in-the-loop on clinical outputs
Capabilities
AI that clinicians and compliance both accept
Clinical documentation, prior auth and research copilots for healthcare organizations.
Prior authorization
Evidence assembly, payer-rule matching and submission drafting that unblocks care faster.
Research copilots
Literature synthesis, protocol drafting and data exploration for research teams.
Privacy and compliance
PHI handling, consent boundaries and audit trails engineered into every data path.
How we deliver in healthcare
Reduce the burden, keep the clinician in charge
Healthcare AI fails on trust, not capability. We build systems where clinicians see the evidence, control the output and save real time.
Documentation
Notes drafted, clinicians deciding
Encounter documentation, discharge summaries and referral letters drafted from structured and ambient inputs — always reviewed, always editable, always attributed.
- Draft notes mapped to your templates and coding needs
- One-tap accept/edit flows inside the EHR
- Every AI contribution flagged and auditable
Copilot
Draft renewal summary for Acme Corp
3 accounts show churn risk — view analysis
Ask anything…
Access to care
Prior auth without the fax-machine era
Agents assemble clinical evidence, match payer requirements and draft submissions — turning days of back-and-forth into same-day approvals for clean cases.
- Payer-rule matching per procedure and plan
- Evidence packets assembled from the chart
- Status tracking and appeal drafting
Invoice exception workflowRunning
✓Extract invoice fields1.1s
✓Match against PO0.6s
Resolve mismatch with agentrunning
·Post to ERPqueued
Compliance
PHI protection as architecture, not policy
De-identification, minimum-necessary access, BAA-covered model endpoints or self-hosted models, and complete audit trails — designed with your privacy and security officers.
- PHI redaction and role-based access at every layer
- HIPAA-aligned infrastructure with signed BAAs
- Immutable audit of every access and output
✓PII detected & redactedenforced
✓Answer grounded in sourcespassed
✓Role-based data accessenforced
✕Out-of-scope tool callblocked
SOC 2GDPRAudit logHITL
Use cases
Where health systems deploy AI with us
Ambient clinical notes
Visit documentation drafted for clinician review and sign-off.
Prior authorization
Evidence assembly and payer submissions accelerated dramatically.
Patient message triage
Portal messages classified, drafted and routed with clinical oversight.
Coding support
Suggested codes with chart evidence for coder review.
Literature synthesis
Research teams get cited summaries across thousands of papers.
Care-gap outreach
Screening and follow-up outreach personalized and tracked.
Delivery
Industry-first delivery
Every engagement is grounded in your domain — regulations, operating models, and the use cases that actually move the needle.
- Domain-ready use cases
- Compliance-aware design
- Ops & CX impact
- Reusable industry playbooks
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1
Map the domain
Identify high-ROI workflows and risk boundaries.
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2
Prioritize use cases
Score impact, feasibility and data readiness.
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3
Pilot with guardrails
Ship a controlled production pilot fast.
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4
Scale across ops
Expand to adjacent processes with shared platforms.
Physicians got 90 minutes a day back, and not one note leaves without their sign-off. Our compliance committee approved it because the controls were visible, not promised.
Works with your stack
Integrates with your clinical stack
EHR-integrated via FHIR and HL7, deployed in HIPAA-aligned environments with your identity stack.
- Epic
- Cerner
- FHIR
- HL7
- Azure Health
- AWS HealthLake
- Anthropic Claude
- OpenAI
- Snowflake
- Databricks
- Okta
- Datadog
FAQ
Common questions
Is this HIPAA compliant?
The architecture is HIPAA-aligned end to end: BAA-covered or self-hosted models, PHI minimization and redaction, role-based access and full audit trails. We work with your privacy officer from design review, not after.
Will clinicians actually use it?
When it saves time on the first patient and never publishes without their sign-off, yes. We co-design with pilot clinicians and track adoption weekly — burden reduction is the metric, not AI usage.
Can the AI make clinical decisions?
No — and we design so it can't. It drafts, summarizes and assembles evidence; licensed clinicians decide. That boundary is enforced in the workflow, not just stated.
Epic or Cerner integration — how deep?
Read and write through FHIR APIs and native integration points, so drafts land inside the clinician's existing workflow rather than another portal.
Next step
Give clinicians their evenings back
Start with documentation or prior auth — measurable relief in one quarter.