HEALTHCARE AI
Healthcare AI Consulting and Solutions
Practical AI for hospitals, clinics, payers and health tech teams, built around your workflows, with clinicians in control.
We help healthcare organizations in the US and Australia cut administrative load, speed up patient access and put their data to work. We do it with a HIPAA-aware, privacy-first approach.
Healthcare Runs on Paperwork. AI Can Take Some of It Off Your Plate.
Clinicians spend a large part of their day documenting care instead of delivering it. Front-desk and revenue cycle teams are buried in referrals, faxes, eligibility checks and prior authorization requests. Data sits in separate systems that don’t talk to each other.
The pressure is rising on both sides of the Pacific. In the US, the CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F) is pushing payers toward faster decisions and API-based exchange. In Australia, providers must manage health information under the Privacy Act 1988 and the Australian Privacy Principles, where health data is treated as sensitive information.
AI can help, but only when it fits real workflows, respects privacy and has a clear owner. That’s where we come in.
Documentation Overload
Notes, letters and summaries take time away from patients.
Slow Prior Authorization
Manual packet assembly and follow-up delay care and cash.
Disconnected Data
EHR, billing and scheduling data rarely line up.
Stretched Front Desks
Calls, intake forms and referrals pile up faster than staff can handle them.
Our Healthcare AI Services
Healthcare AI Strategy and Readiness
We review your workflows, systems and data, then rank AI opportunities by value, risk and effort. You get a short, costed roadmap from our technology consulting team, not a slide deck that sits on a shelf.
Clinical Documentation and Ambient AI
We help you select, integrate and govern AI scribes and note-drafting tools so drafts land in the right place in your EHR and clinicians stay the final reviewer.
Prior Authorization and Revenue Cycle Automation
We apply intelligent automation to the repetitive steps around prior authorization, eligibility, coding support and denial follow-up. Your team handles the exceptions, not the busywork.
Patient Access and Engagement
AI agents for scheduling, intake, reminders and common questions, across web, SMS and phone, with clear handoff to staff when a human is needed.
Healthcare Data Platforms and Analytics
We connect EHR, claims and operational data on a secure, AI-ready cloud platform, using standards like HL7 FHIR, so reporting and AI work from one trusted source.
Private GenAI and Clinical Knowledge Assistants
Secure assistants that answer staff questions from your own policies, protocols and payer rules, using retrieval-augmented generation (RAG) inside your environment.
Not sure where AI fits first?
In a 30-minute call we’ll look at your top workflows and tell you honestly where AI can help, and where it can’t yet.
Practical AI, Real Workflows
How We Use AI in Healthcare
We focus on practical AI and generative AI that removes friction from everyday work. Every use case keeps a person in the loop for clinical and financial decisions.
Typical starting points include:
- Drafting clinical notes, referral letters and discharge summaries for clinician review
- Assembling prior authorization packets and checking them against payer criteria
- Reading, classifying and routing incoming faxes, referrals and forms
- Grouping denials by root cause and drafting appeal letters
- Answering patient questions and booking appointments, with handoff to staff
- Giving staff a private assistant for policies and protocols
We start with one workflow, prove it with real users, then scale what works.
What We Aim to Improve
What Your Organization Gains
The outcomes we design for from day one, tracked against the measures we agree with you.
More time for patient care
Less after-hours charting and fewer clicks.
Faster prior authorization
Complete packets the first time.
Cleaner revenue cycle
Denials worked by priority.
Easier patient access
Answers and bookings without the hold music.
One trusted view of data
Reporting and AI from one governed source.
AI you can govern
Ownership, audit trails and human review.
Our Process
A staged path from first conversation to a governed AI rollout, the same discipline we bring to every digital transformation program.
1. Discover
We meet your clinical, operations and IT leads, map the workflow and confirm the data and systems involved.
2. Prioritize and Design
We score use cases on value, risk and effort, then design the workflow, integration points and privacy controls.
3. Pilot
We build a working pilot with a small group of real users and agree on success criteria before we start.
4. Scale
We harden security, integrate with production systems, train staff and roll out in stages.
5. Operate and Improve
We monitor quality, usage and cost, adjust where needed and report back on the agreed measures.
Have a workflow in mind?
Bring it to a 30-minute call and leave with a clear next step.
Who We Work With
We partner with healthcare organizations that want practical AI with clear ownership, privacy built in and results they can measure. We work with:
- Hospitals and health systems
- Multi-site clinics, specialty groups and allied health networks
- Health plans and payers
- Digital health and health tech companies
Work with us the way that suits you: start with a fixed-scope pilot to prove one use case, move to a defined project, or add a dedicated team of AI and data engineers through our staff augmentation and consulting model.
Technology and Platforms
We are platform-neutral and pick tools that fit your existing environment.
Cloud
AWS, Microsoft Azure, Google Cloud
AI Models
Azure OpenAI / OpenAI, Anthropic Claude, Google Gemini, open-source models
Health Data Standards
HL7 FHIR, HL7 v2
Automation
Microsoft Power Automate, UiPath
EHR Systems (US)
Epic, Oracle Health (Cerner), athenahealth
Practice Systems (AU)
Best Practice, MedicalDirector
Data and Search
Vector databases and data warehouses suited to your cloud
Security, Privacy and Compliance
Health data needs more care than most. Our approach is HIPAA-aware for US clients and Privacy Act-aware for Australian clients. We design to your obligations, and your compliance and legal teams make the final call.
- Minimum necessary data: we use only the data a use case needs, and de-identified or synthetic data in development wherever possible.
- Data residency: Australian data can be hosted in Australian cloud regions.
- Private deployment: models run inside your cloud tenancy or with vendor settings that keep your data out of model training.
- Access and audit: role-based access, encryption in transit and at rest, and full audit logs.
- Human oversight: clinical and financial outputs are reviewed by qualified staff before anyone acts on them.
- Regulatory flags: if a use case may count as a regulated medical device (FDA in the US, TGA in Australia), we flag it early and work with your regulatory team.
Frequently Asked Questions
How much does a healthcare AI project cost?
It depends on scope, integrations and data readiness. Most clients start with a fixed-price discovery or pilot, so you can see results before committing to a larger budget. We’ll give you a clear estimate after the discovery call.
How long does it take to see results?
A focused pilot with real users usually comes first, followed by a staged rollout. We agree on the timeline and success criteria with you before any build work starts.
How do you protect patient data?
We follow a HIPAA-aware and Privacy Act-aware approach: minimum necessary data, de-identified data in development where possible, encryption, role-based access, audit logs and private model deployment inside your environment.
Can you integrate with our EHR?
In most cases, yes. We integrate through standard interfaces such as HL7 FHIR and vendor APIs where your EHR supports them. We confirm what’s possible for your system during discovery.
Will AI replace our clinical or administrative staff?
No. We design AI to take on repetitive work and draft outputs, while your staff review, decide and handle exceptions. The goal is to give people time back, not to remove them from the loop.
Can our data stay in Australia?
Yes. For Australian clients we can deploy on Australian cloud regions and design data flows that keep health information onshore.
Do we need perfect data before we start?
No. Part of discovery is checking whether your data is good enough for the use case you want. If it isn’t, we’ll tell you what to fix first and how long that’s likely to take.
What happens on the AI Discovery Call?
It’s a 30-minute conversation about your goals and current workflows. We’ll suggest where AI could help first, outline next steps and answer your questions. There’s no obligation.
Ready to Put AI to Work in Your
Healthcare Organization?
Book a 30-minute call with our team. We’ll look at your workflows and show you where to start.