Clinician in the loop
Clinical and sensitive outputs go to qualified staff for review and approval before anything is used or sent.
Custom Healthcare AI Agents
Aarvexa builds AI agents that support clinical documentation, patient communication, prior authorization, scheduling and revenue-cycle work, inside your EHR, with clinician review and audit trails built in.
- 0+Years of engineering
- 0+Projects delivered
- Human reviewOn every sensitive step
Clinical agent · Prior authorizationlive
- Read referral and chart
- Check payer policy
- Match clinical criteria
- Draft the packet
- Clinician approves
sample vitals feed72 bpm
Built for Healthcare
Healthcare is not a generic use case. Every agent we build is shaped by clinical workflows, privacy duties and the people who rely on it.
Privacy by design
Role-based access, minimum-necessary data handling and masking before model calls, wherever your policy requires it.
EHR-aware integration
Agents work through your EHR, billing and scheduling systems using HL7, FHIR and API connectors.
Measured outcomes
Success metrics such as turnaround time and rework are agreed before build and tracked after go-live.
Outcomes depend on scope, data quality and workflows. We define success metrics with you before development begins.
The Problem
Most stalled projects were not blocked by the model. They were blocked by integration, privacy, adoption and unclear ROI.
Fragmented systems
Patient data sits across EHRs, billing, scheduling, imaging and paper. An agent that cannot reach it has little value.
Privacy and compliance uncertainty
Teams are unsure how protected health information may be used with AI, so projects wait on legal and security reviews.
Clinician trust and adoption
Tools that add clicks or give unexplained answers get ignored. Staff need transparent, reviewable output.
Pilots without measurable outcomes
Without agreed metrics, leaders cannot tell what improved, what it costs and whether to scale.
Definition
Healthcare AI agents are software agents that complete defined tasks inside care and administrative workflows, within permissions and review points you control. They support professionals; they do not replace them.
Perceive
Agents read what your teams read: chart notes, referrals, faxes, forms, schedules, messages and audio.
Reason and act
They apply your rules, call the right tools and complete multi-step tasks across connected systems.
Hand off to people
Anything clinical or uncertain goes to a human with context, and every step is logged.
Compare
CapabilityAarvexa Healthcare AI AgentsGeneric Chatbot VendorInternal Healthcare Build
Healthcare workflow fitBuilt around your specialty, EHR and approval rules.Generic scripts with limited clinical context.Strong fit, but limited by staff capacity and priorities.
Privacy and controlsRole-based access, masking and audit trails designed with your compliance team.Varies by product; often shared infrastructure.Fully in your hands, but you build and maintain every control.
EHR and system integrationHL7, FHIR and API connectors are part of delivery.Limited to prebuilt connectors.Your team builds and supports each connection.
Clinician reviewApproval steps are designed into each sensitive workflow.Usually not built in.Must be designed and enforced internally.
Time to valuePhased delivery with defined checkpoints.Quick to start, harder to extend.Longest path; depends on hiring and roadmap.
Services
From first workflow to production rollout, one team covers strategy, build, integration and support.
Healthcare AI Strategy and Consulting
We map your workflows, rank use cases by value and risk, and define the data, privacy and success criteria before any build starts.
Clinical Documentation Agents
Agents that turn conversations, dictation and handwritten notes into structured draft notes for clinician review and sign-off.
Patient Engagement and Virtual Assistants
Assistants that answer routine questions, handle scheduling requests, send reminders and hand off to staff when needed.
Prior Authorization and Revenue Cycle Automation
Agents that gather clinical evidence, check payer requirements, prepare packets, track status and follow up on denials.
EHR and Healthcare Systems Integration
Secure connections between agents and your EHR, billing, scheduling, patient portal and communication platforms.
Healthcare Document Intelligence
Extraction from referrals, faxes, lab reports, forms and scanned records, with confidence scores and review for uncertain fields.
Monitoring, Optimization and Support
We track accuracy, adoption, exceptions and cost after launch and adjust agents as your workflows and payer rules change.
Agents We Build
Examples of what we design. Each agent is tailored to your systems, data, specialty and approval rules.
Clinical Documentation Agent
Drafts visit notes and summaries from conversations and dictation, ready for clinician review and edit.
Patient Intake Agent
Collects history, insurance and consent details, then pre-fills records for staff to verify.
Appointment Scheduling Agent
Books, moves and confirms visits, fills cancellations and reduces no-shows with timely reminders.
Prior Authorization Agent
Checks payer requirements, assembles supporting evidence and routes the packet for approval.
Medical Coding Support Agent
Suggests codes from documentation for certified coders to review, with the supporting text highlighted.
Triage Support Agent
Collects symptoms, applies your protocols and routes patients to the right level of care, with escalation to clinicians.
Patient Communication Agent
Answers routine questions, sends instructions and follow-ups, and escalates sensitive conversations to staff.
Care Coordination Agent
Tracks referrals, follow-ups and care gaps across systems so patients do not fall through the cracks.
Denial Management Agent
Analyses denials, drafts appeals with supporting records and tracks every claim to resolution.
Remote Monitoring Agent
Reviews incoming device and patient-reported readings against your thresholds and alerts the care team.
Technology
Model-agnostic and vendor-neutral. We choose the stack that fits your data, security and integration needs.
AI Models
- OpenAI GPT
- Anthropic Claude
- Google Gemini
- Meta Llama
- Speech and document AI
Agent Frameworks
- LangChain
- LangGraph
- CrewAI
- AutoGen
- Custom orchestration
Healthcare Interoperability
- HL7 v2
- FHIR and SMART on FHIR
- EHR vendor APIs
- Secure file and fax gateways
- Messaging integrations
Cloud and Security
- AWS, Azure, Google Cloud
- Private cloud or on-premises
- Encryption in transit and at rest
- SSO and role-based access
- Logging and monitoring
Our Process
Clear decision points, defined scope and visibility at every stage.
Discover and map workflows
We shadow the real process, list the systems, users, exceptions and approval points, and agree the success metrics.
Secure design and data review
We define data access, masking, retention, hosting and review rules with your privacy and security teams.
Build and integrate
We build the agent, connect it to your EHR and operational systems and set up logging and escalation paths.
Clinical and operational testing
We test against realistic scenarios and edge cases with the staff who will use the agent every day.
Controlled launch
We roll out to a limited group first, with human review on, then widen as results and trust build.
Monitor and optimize
We track accuracy, adoption, exceptions and cost, and keep the agent aligned with changing rules and workflows.
Engagement Models
Start small or go end to end. Scope and timelines are agreed with you after the consultation.
Discovery Sprint
A focused assessment of your workflows, systems and data that ends in a ranked roadmap and a clear business case.
Best for exploringPilot Agent
One agent on one workflow with a limited group, built to prove value and controls before wider rollout.
Best for proving valueFull Build and Integration
A production agent or agent suite integrated with your core systems, with testing, documentation and handover.
Best for scalingOptimization and Support
Ongoing monitoring, tuning and new-capability work after go-live, as your needs evolve.
Best for long termCompliance and Security
We design with HIPAA and other healthcare privacy requirements in mind and work within your security review process.
Role-based access
Agents and users see only the data their role needs, with permissions that follow your policies.
Data minimisation and masking
Only the minimum necessary data is used, and identifiers can be filtered before any model call.
Encryption
Data is encrypted in transit and at rest, with secrets and keys managed securely.
Audit trails
Interactions, data access and agent actions are logged so your team can see what happened and why.
Human review points
Clinical and high-impact outputs require approval from a qualified person before use.
Deployment in your environment
Run in your cloud, private infrastructure or on-premises to match your risk and residency needs.
Compliance depends on how a solution is built, hosted and operated, and on your own policies. We are glad to work under a business associate agreement where applicable.
Case Study
An illustrative engagement showing how a healthcare AI agent is scoped and delivered. Details are representative, not client-specific.
Prior Authorization Agent
Illustrative impactSample view
Authorization turnaroundFaster
Manual re-keyingReduced
Staff time on exceptionsFocused
Sample Engagement
Faster authorizations for a multi-specialty clinic group
A clinic group lost hours every week to manual prior authorization: reading referrals, hunting for evidence, filling payer forms and chasing status. Aarvexa designs an agent that prepares each packet and leaves the decisions to staff.
- FasterPacket preparation
- FewerMissing-document returns
- FullAudit trail
- Reads referrals, chart notes and payer policies, then builds an authorization packet with the supporting evidence highlighted.
- Flags missing documents and routes uncertain cases to a nurse reviewer instead of guessing.
- Tracks every request to decision and drafts follow-ups, with a full audit trail.
- Integrates with the clinic's EHR and payer portals, with approval before anything is submitted.
Why Aarvexa
Healthcare-aware engineering
We design around clinical workflows, terminology and the realities of busy care teams.
Privacy-first architecture
Access control, masking and audit trails are part of the first design, not an afterthought.
Integration depth
We connect agents to the systems you already run instead of asking you to replace them.
Clinician-centred design
Review steps and transparent output keep professionals in control and build trust.
Transparent delivery
Defined scope, checkpoints and metrics so you always know what is being built and why.
16+ years, 1,000+ projects
Engineering experience across industries, with a 98% successful go-live rate.
Let's build
Tell us about your workflows, systems and privacy requirements. We will suggest a practical first agent, with the controls to match.
FAQ
Straight answers on healthcare AI agents, compliance and security, integration, implementation, pricing and who we are.
Healthcare AI agents are software agents that complete defined, multi-step tasks inside healthcare workflows, such as drafting clinical notes, checking prior-authorization requirements, answering patient questions or coordinating schedules. They work within the permissions, review points and rules you set.
Usually in high-volume, rules-driven administrative and documentation work: intake, scheduling, prior authorization, coding support, claim follow-up and patient communication. A short consultation helps pick the best first use case.
No. Agents take on repetitive preparation and coordination so people can focus on judgment and care. Clinical and sensitive decisions stay with qualified professionals through review and approval steps.
Yes. The list shows common patterns. We design custom agents around your specialty, workflow, data sources and governance requirements.
No. Agents are designed to work with your existing EHR, practice management, billing, scheduling and communication systems.