AI for the administrative and documentation work around care and research.
We help providers, payer operations, life sciences and health technology teams reduce the paperwork burden on staff. Our systems prepare, summarize and route; clinical judgment and regulated decisions stay with qualified people.
- Intake document classification
- Denial and appeal preparation
- Medical information and SOP assistant
- Literature and source summarization
Workflows we work on
- 01
Referral and prior authorization packets
Incoming referrals, faxes and supporting records are read, key fields extracted, and missing items identified so coordinators assemble a complete packet before submission instead of chasing gaps afterward.
- 02
Protocol and SOP questions for operations staff
Site staff, coordinators and back-office teams ask questions about current standard operating procedures, payer rules or study protocols and receive answers linked to the controlling document and version.
- 03
Regulated document drafting and review
First drafts of routine documents — correspondence, summaries of source material, change-control records — are prepared from approved sources and passed to a named reviewer with every statement traceable to its source.
Constraints we design for
Privacy of health information
Protected health information stays in approved environments, is minimized before it reaches a model, and is never used to train shared models. Access follows existing role and patient-relationship rules.
Clinical oversight
Nothing we build diagnoses, recommends treatment or replaces clinical judgment. Outputs that touch patient care are framed as preparation for a qualified person, and the interface makes that clear.
Validation and change control
In regulated contexts, prompts, models and retrieval sources are versioned, evaluation results are kept, and changes follow your quality system rather than a silent update.
Integration with clinical and research systems
Work fits around EHR, document management and trial systems through their supported interfaces, with read access scoped to what the workflow needs.
Use cases we can explore
Where we start
Discovery begins with a few direct questions about your operation.
- 01Which administrative queue takes the most staff time that is not patient-facing?
- 02Which data can leave the EHR or clinical environment, and under what agreements?
- 03Who must sign off on an AI-assisted output before it is used, and how is that recorded?
- 04Does the workflow fall under a quality system or validation requirement today?
Relevant solutions and services
- Document IntelligenceClassify, extract, check and route incoming documents, with people reviewing the exceptions.
- Enterprise Knowledge AssistantAnswer staff questions from your own policies, procedures and records, with sources shown and access rules respected.
- Workflow AutomationMove multi-step back-office work between systems automatically, with approvals where they matter and a record of every step.
- RAG & Enterprise Knowledge SystemsAnswers drawn from your own documents and data, with sources shown, permissions respected and content kept current.
- Enterprise & Private AIAI deployed with the data isolation, access control and operational ownership your security and compliance teams require.
- Responsible AI & GovernancePractical ownership, review, privacy and audit controls that let teams ship AI without losing track of what it does.
- AI IntegrationConnect AI models and assistants to your CRM, ERP, databases, knowledge stores and APIs — with identity, logging and fallbacks that production systems need.
Questions buyers ask
No. We focus on administrative, documentation and knowledge workflows. Where an output relates to a patient, it is prepared for a qualified person to review and decide.
Yes, where your infrastructure allows it. We can deploy models and retrieval inside approved cloud or private environments and minimize the data passed to any model. See Trust & Security.
Tell us the workflow you want to improve.
Tell us about the workflow or product. We reply with questions, a suggested first step and who would work on it.