Healthcare & Life Sciences
Clinical AI that stays inside your walls.
Healthcare organizations can’t send patient data through a third-party cloud to govern their AI. Olakai runs inside your own infrastructure — HIPAA-compliant audit trails, clinical agent governance, and shadow AI visibility, without PHI ever leaving your perimeter.
Your clinical teams are using AI tools your compliance team hasn’t approved.
Nurses are using AI scribe tools. Physicians are using ChatGPT for clinical summaries. Your EHR vendor just launched a Copilot. Prior authorization agents are making decisions that affect patient care. Each of these is a governance gap — and the PHI exposure isn’t theoretical.
Most health systems we talk to can name three approved AI tools and know about a dozen more their staff is using. Your compliance team needs to see all of it — not just the approved list — with the documentation to prove governance to auditors and accreditors. And none of that documentation can be built on a platform that sends patient data outside your walls.
By the Numbers
Healthcare organizations report that more than half of clinician AI tool usage involves applications that were never reviewed by compliance — with direct PHI exposure in many cases.
Visibility isn’t optional when patient data is involved. Neither is keeping it in your environment.
HIPAA-compliant by design. PHI never leaves your infrastructure.
Olakai deploys inside your cloud environment or on your own hardware — AWS GovCloud, Azure Government, your on-premises data center. No clinical notes, no patient identifiers, no AI interaction logs are processed outside your perimeter. For healthcare organizations subject to HIPAA, HITRUST, and internal data governance policies, this isn’t a product feature — it’s the prerequisite that makes the conversation possible.
Two lenses, one platform
Olakai is one platform, one data model, one set of controls. Olakai Agentic and Olakai Assistive are the two lenses you use to look at it — they share data, share context, and share Kai. What you see in one lens is immediately visible in the other.
Olakai Agentic
Govern every clinical and administrative agent — prior authorization automation, clinical decision support, revenue cycle agents — with full execution audit trails and policy enforcement before a bad action affects patient care. Also measures AI coding tool ROI for the health IT engineering teams building your EHR integrations and clinical apps: token spend by provider, team, and developer, with compliance reports generated automatically inside your perimeter.
Olakai Assistive
Track every AI tool your clinical and administrative staff are using — approved and unapproved. Identify shadow AI tools touching PHI, measure time saved per clinician per workflow, and give your compliance team the visibility they need before an audit.
Olakai Agentic — Clinical agent audit trail
Every clinical agent decision. Documented before anyone asks.
For every autonomous agent running in your clinical or administrative environment — prior auth, clinical documentation, revenue cycle — Olakai logs every input, every tool called, every decision made, and every outcome. When your compliance team or accreditor needs documentation, it exists. Not assembled after the fact from fragmented logs, but generated continuously, inside your infrastructure.
- Full execution log: clinical inputs, tools called, decisions made, outcomes — per agent run
- Policy enforcement at the workflow level — violations blocked before affecting patient care or billing
- HIPAA-compliant audit reports generated automatically, never leaving your environment
Olakai Assistive — Shadow AI detection
See every AI tool your staff is using. Including the ones compliance doesn’t know about.
Olakai Assistive surfaces every AI tool in use across your organization — from approved EHR copilots to the ChatGPT tab a physician has open during patient documentation. Ranked by risk surface: PHI exposure, department, data sensitivity. The visibility your compliance and privacy teams need to close the gap between what’s approved and what’s in use.
- Every AI tool in use surfaced — approved, shadow, and consumer apps touching clinical workflows
- Risk classification by PHI exposure, department, and data type
- Governance controls to bring high-value shadow AI tools into sanctioned use with proper oversight
The KPIs that matter in healthcare & life sciences
Every pillar gives you a different lens on AI performance. Here are the metrics Olakai actually measures — across every vendor, every team, inside your own infrastructure.
Olakai Agentic
Olakai Assistive
Why Measurement Changes Everything
Your staff is using AI tools on patient data — some approved, many not. Olakai makes every tool visible, classifies the PHI risk, and gives you the controls to govern high-value tools rather than blocking them and losing the clinical efficiency gains.
Pulling together AI audit documentation for a HIPAA review or accreditation shouldn’t take weeks of manual log assembly. Olakai generates it continuously, automatically, inside your perimeter. It exists before anyone asks.
“We don’t know what AI tools our clinicians are using” is not a sustainable position. Olakai gives your CMO, CISO, and compliance team a complete picture — every tool, every interaction, every risk — so you can deploy AI with confidence instead of holding it back.
Ask your AI program a question. Get a reasoned answer.
Kai synthesizes every Olakai data source — agent logs, tool usage, governance status, compliance coverage — and answers in plain English. With the reasoning shown and the evidence attached.
- “Which AI tools are our clinical staff using that haven’t been reviewed by compliance — and which are touching PHI?”
- “Show me the complete audit trail for prior authorization agent decisions over the last 30 days.”
- “Which departments have the highest PHI exposure from unsanctioned AI tool usage right now?”
Illustrative conversation on the right: pick a seat, ask, and watch Kai reason over the same data every Olakai dashboard uses.