Industries
Olakai for Healthcare & Life Sciences
Safe AI adoption, with the proof regulators want.
Hospitals, payers, pharma, and biotech all face the same problem: AI delivers real clinical and operational value, but no one can show HIPAA-grade evidence of where it’s running, what it’s doing, or what it’s worth. Olakai is that evidence layer.
Clinical value, with audit-ready proof.
Your clinicians use AI scribes and diagnostic copilots. Your researchers use generative models to accelerate drug discovery. Your revenue cycle team uses AI for prior auth and claims processing. And your compliance officers have no unified view of which tools are touching patient data, where, or how.
AI is already saving clinician hours and accelerating discovery. The question is whether you can show HIPAA-grade evidence of what’s running, prove the ROI to your CFO, and catch shadow AI before it becomes a finding. That’s what Olakai does.
By the Numbers
Nearly half of healthcare organizations using AI have no governance framework in place.
In the most regulated industry in the world, ungoverned AI isn’t just risky — it’s a ticking compliance clock.
Three lenses, one platform
Olakai is one platform with one data model and one set of controls. Assistive IQ, Coding IQ, and Agent IQ are the three lenses you use to look at it — they share data, share context, and share Kai. What you learn in one lens is immediately visible in the others.
Assistive IQ
Track which AI tools your clinicians, researchers, and operations teams actually use. Surface PHI exposure risk in real time. Catch shadow AI before it becomes a HIPAA finding.
Coding IQ
Measure AI coding tool ROI across teams building clinical decision support, patient portals, and lab informatics platforms.
Agent IQ
Measure every clinical and administrative agent — prior auth, claims, patient triage, drug discovery workflows — with audit trails that satisfy IRBs and compliance reviews.
The KPIs that matter in healthcare
Every pillar gives you a different lens on AI performance. Here are the metrics that matter most for healthcare organizations — measured by Olakai, across every vendor, every team.
Assistive IQ
Clinician time saved
Hours returned per clinician per week from AI assistants
PHI exposure risk
Shadow AI tools accessing protected health information
Adoption by department
Which clinical and admin teams are using AI tools
Coding IQ
Clinical platform velocity
Cycle time improvement for health IT teams
AI adoption rate
% of PRs using AI coding tools across clinical software teams
Tool spend vs. output
Cost per PR for health IT development
Agent IQ
Prior auth turnaround
Time to process prior authorization requests
Patient triage accuracy
% of correct initial routing by AI triage agents
Claims processing time
Hours saved per claims adjudication agent
Why Measurement Changes Everything
From Regulatory Lag to Proactive Compliance
Track how quickly your organization adapts to HIPAA updates, FDA guidance, and state AI regulations. Measure gap identification speed and remediation cycles rather than waiting for the next audit to find out.
From Revenue Cycle Friction to Financial Clarity
Measure invoice processing time, error rates, and cost per transaction. When you can prove AI automation is cutting days from your revenue cycle and reducing billing mistakes, the investment case makes itself.
From Retention Guessing to Network Protection
Instead of hoping churn models work, measure exactly how many providers or payers were retained, how much revenue was saved, and whether network adequacy standards were maintained through every intervention.
From Shadow AI Risk to HIPAA-Governed Adoption
Replace “block everything” with “measure and govern.” See which unsanctioned AI tools access patient data, quantify the PHI risk, and bring high-value usage into the fold with proper Business Associate Agreements and oversight.
From Talent Scramble to Strategic Hiring
Track time-to-fill and credential verification accuracy for clinical and administrative roles. When you can prove faster, more accurate hiring during a staffing crisis, recruiting becomes a measurable strategic asset.
From Equipment Downtime to Patient Care Continuity
Measure equipment uptime, maintenance costs, and procedures preserved. When you can connect predictive maintenance to patient outcomes, operations stops being a cost center and starts being a care enabler.
Ask your AI program a question. Get a reasoned answer.
Kai is the conversational layer across every Olakai data source. Anyone in the business can ask the questions that matter, and Kai pulls the data, runs the analysis, and shows the reasoning behind every answer.
“Which AI tools are accessing patient records, and which workflows are saving the most clinician hours per week?”
Explore Olakai on your own terms.
Drop your work email below and we’ll send you a private link to a live Olakai environment — pre-loaded with realistic healthcare data so you can click around at your own pace, run a few Kai queries, and see exactly what your AI program would look like inside the platform.
No account to create. No demo call to book. No commitment. If you want a guided walkthrough after, we’re one click away.