About
Built to make AI work in the clinic.
Why we exist
The gap between promise and practice has never been wider.
Healthcare is one of the most consequential places to use AI. The upside is real and measurable: less documentation, faster diagnosis, better coordination of care. But the industry has been sold AI faster than it has been equipped to use it.
Vendors raced to close deals. Consultants delivered decks. Clinics and health systems signed contracts, announced pilots, and quietly shelved implementations when the organizational energy ran out.
Verilian Health exists to close that gap with checks you can see: a written baseline before any build, a named owner for every workflow, a review of each exception before it reaches a patient record, and a measured result at the end. We stay until the tool is working in the clinic, not just in the demo.
- 01
Outcomes over outputs
We are measured by what changes in your clinic, not by the thickness of the document we leave behind.
- 02
Ownership over handoffs
We do not hand over a roadmap and disappear. We stay from the first review through go-live and after it.
- 03
Transparency over theater
We tell you when something will not work, when a vendor’s claim does not hold up, and when the honest answer is to slow down.
- 04
Access over exclusivity
The clinics and systems that need AI most are not always the ones with the largest IT budgets. We work across the spectrum.
Verilian builds and sells its own software alongside our consulting work. When our software could fit a client’s need, we say so up front, compare it fairly against other options, and the client decides.
We do not accept referral fees or commissions from other vendors. Any commercial relationship that could affect a recommendation is disclosed in writing before we make it.
- 01
Who does the work
A lead consultant owns each engagement from the first call to the last review. Where a workflow needs it, a workflow analyst maps the current process and an engineer builds and tests the automation. You know who is doing what before work starts.
We publish the roles and the verifiable experience behind them, not marketing claims.
- 02
How projects are scoped
Every project starts with one workflow, written down: who does it today, how long it takes, how often it runs and what counts as done. Scope, price and the measure of success are agreed in writing before any build begins.
If a project needs data access, approvals or integration work we cannot see yet, the proposal says so and the timeline follows the facts, not a template.
- 03
Who stays accountable
The same lead who scoped the work stays accountable for the result. You get a written update at each agreed checkpoint, a named person to call, and a clear record of what was decided and why.
- 04
How you keep control of your data and systems
By default the work runs inside your own systems or cloud tenant, under your access controls. Nothing moves until the data list is agreed in writing and the required agreements are signed.
You own every workflow map, configuration and document we produce. If we stop working together, you keep the running system and the documentation needed to operate it.
Do you work with small clinics or only large health systems?
Both. Independent practices, specialty clinics, community health centers, behavioral health and mid-size health systems. The size of the engagement changes with the organization. The commitment to a measured outcome does not.
What does a first engagement usually look like?
Almost always a Workflow Automation Review. It is a small, fixed-scope commitment: we map one to three workflows, measure them, and tell you what to automate first and what it would cost. Organizations with a bigger scope start with an AI Readiness Assessment.
How is the price set?
Scope and price are agreed in writing after a short call, from the workflow as it runs today. Fixed-scope offers show a starting price once it is published; everything else is scoped on the call.
How do you handle data privacy and HIPAA?
By default we work inside your own systems or cloud tenant, so your data stays under your controls. If you prefer Verilian-managed hosting, client data is hosted in the US on Google Cloud Platform and Microsoft Azure, under Business Associate Agreements with both. Patient data is handled only where a BAA covers every system involved; otherwise the workflow runs client-hosted. No data moves until the scope and data list are agreed in writing, the agreements are signed, and you approve exactly which data is used and who can access it. The Trust page has the retention, deletion and logging terms.
Do you recommend specific AI vendors?
We recommend what the evidence supports for your use case, your stack and your clinical context. We take no referral fees or commissions from other vendors. Verilian also sells its own software; when it could fit, we say so up front, compare it fairly, and you decide.
How long from first call to go-live?
It depends on data access, approvals and the integration work involved. A single workflow usually fits an automation sprint of two to four weeks once the review is done. The proposal gives a timeline once we have seen the workflow and the systems it touches, and we say before scoping if an integration will take longer.
What happens after go-live?
Optional monthly support, month to month: exception rates, rule changes and new document variants are watched and adjusted. For organizations that want a named owner for AI between projects, the Fractional AI Lead retainer covers that.
Next step
Want to work together?
Start with a thirty-minute conversation. No pitch, no deck. A clear look at whether we can help.