Industries Healthcare and healthtech
Hours back from intake, records, and coordination.
We deploy AI for healthcare and healthtech teams so intake, records, and coordination move faster while protected data stays inside the controls you already run.
25+ years in enterprise IT, including Fortune 500 regulated-data environments.
- HIPAA
- HITECH
- Minimum Necessary
- BAA
No preparation needed. You leave with next steps in writing.
Assess, build, embed
- 25+ yrs enterprise IT
- Fortune 500 regulated-data environments
- Founder-led
Staff hours keep going into intake, records, and coordination work. Hand that to an agent without controls and you have traded a real cost for a much larger one. We build against the first without opening the second.
The pressure
Every month of waiting costs staff hours. Every shortcut costs more.
The hours are real. Intake triage, records requests, prior-authorization chases, and care coordination absorb capacity you are already paying for and cannot hire your way out of. The other side of the ledger is just as real. An agent handed broad access to protected data turns a productivity project into a breach notification, an Office for Civil Rights complaint, and a remediation program that can cost more than the work it automated. HIPAA and the clinical and privacy obligations stacked on top of it are not the obstacle here. They are the reason the careful version is the only one worth building.
What the rules require
What the rules actually require.
- Access nobody can account for is a finding: under the HIPAA Privacy and Security Rules, protected health information stays access-controlled and every touch has to be auditable.
- A three-field task that reads a whole record has already broken the rule: minimum necessary at 45 CFR 164.502(b) limits an agent to the data the purpose genuinely requires.
- An uncovered vendor in the data path is your liability, not theirs, so any model or subprocessor touching protected health information needs a Business Associate Agreement you can produce on request.
- Breach notification runs on a clock, so you need to know precisely what an automated system touched, and know it in hours rather than after a reconstruction project.
Where it goes wrong
What each shortcut costs you later.
- Silent over-collection
- Full-record access granted for a task that needed three fields. Nothing looks wrong until an audit asks why, and by then the answer is a finding and a remediation project.
- An uncovered model in the path
- A convenient API quietly processing protected health information with no Business Associate Agreement behind it. The cost of that lands on you, not on the vendor.
- Unreviewable automation
- An action taken with no record of what data drove it. No compliance officer can sign off on that, so the workflow gets switched off and the hours you saved go straight back.
What we bring
You get a clear line between what is safe to automate and what is not.
Before anything gets built you get a decision on each candidate workflow: automate it, gate it behind a person, or leave it alone. What you leave with is a scoped list of what ships, what needs a human in the loop, and what evidence you will be able to produce when someone asks. That judgment comes from years spent on regulated data platforms at enterprise scale, environments where mistakes are expensive and everything is auditable.
A governed workflow
A governed workflow: cutting the reading load on patient intake without exposing the record.
Take a common target, drafting summaries of inbound patient messages so a care team stops reading every thread end to end.
By hand, then governed
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The agent receives only the fields the summary needs, scoped by minimum-necessary rules rather than full-chart access.
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Any model or vendor in the path is checked against a current Business Associate Agreement before data moves.
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The draft summary routes to a clinician for approval; the agent never acts on protected data on its own.
Human approval -
Every read, draft, and approval is logged with who, what, and when, ready to produce for an audit.
How the governed build fits
Capacity you can use, exposure you did not inherit.
The hours come back to your team and protected data stays controlled, because the agents we deploy carry permissioning, audit logging, and approval gates from the first day. Every action is recorded as it happens, which is also the evidence your privacy officer needs the moment the question comes.
How a governed agent runs
Evidence
Credibility-first work for pharmaceutical regulatory consulting.
Adelphi Biosciences
If you are accountable for getting AI right here, let's talk.
A twenty minute intro call is the simplest next step: we work out which step fits, and you leave with one specific thing to act on. If you want the senior read on your business rather than a routing conversation, that is the AI Leverage Briefing.
Within one business dayYour scope is settled, in writing.
What you walk away with Prioritized 90-Day Roadmap · Risk Register · Governance and Compliance Gap Assessment · Safe-to-Deploy Read
25+ years in enterprise IT, including Fortune 500 regulated-data environments. See a named result
If AI is not the right tool for your problem, you will hear that from us.