Prior authorization
Requests are screened against policy with a reasoned recommendation, a human approving the decision and a complete audit trail.
INDUSTRY
All industries
Decision intelligence where accuracy is non-negotiable.
Decision intelligence where accuracy and accountability are non-negotiable. Simulation and optimization applied to operations that affect real outcomes.
- Providers and hospital operations
- Payers and insurance
- Pharma and life sciences
- Medtech and diagnostics
Where agents act
- Operational scheduling and capacity
- Prior authorization and claims review
- Clinical documentation support
- Supply and cold-chain optimization
- Pharmacovigilance triage
Governance and compliance
Accountability first. Human sign-off on anything clinical, full traceability, and data handled under KVKK, GDPR and your jurisdiction health rules. Models support decisions; they do not make clinical calls alone.
Deployed inside your operation.
San Francisco · IstanbulTypical engagements
Capacity optimization
Simulation and optimization are applied to scheduling and throughput, with operators owning the outcome.
Representative scenarios. Specific results are shared in a working session, under NDA.
Step by step: from working session to production
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01
Working session.
One non-clinical workflow chosen with your leadership: prior authorization, scheduling or pharmacovigilance triage. On real cases, inside days.
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02
Diagnosis in four weeks.
A working prototype with accuracy measured on your own data, and the traceability plan your compliance team signs off on.
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03
Embedded build.
Human sign-off wired into every clinical touchpoint, residency under KVKK, GDPR and your health rules, evaluations before every release.
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04
Live by day 90.
Governed production with full traceability, clinicians deciding, and your team operating the system.
Healthcare and life sciences
Common questions
Does the agent make clinical decisions?
No. Clinical calls stay with clinicians. The system supports, documents and flags; a human decides and signs off.
How is patient data governed?
Least-privilege access, full logging and residency under KVKK, GDPR and the health rules of your market.
Which workflows do you start with?
Non-clinical, high-volume ones first, like prior authorization, scheduling or pharmacovigilance triage, where accuracy and traceability compound fastest.
How do you keep accuracy high?
Evaluations on your own data, human sign-off on anything clinical, and models that support decisions rather than make them.
Do you support on-premise or sovereign deployment?
Yes. We build inside your jurisdiction and data residency, on your own infrastructure where the rules require it.
Do you work with payers, providers and pharma?
All three, plus medtech and diagnostics. The constant is accountability: human sign-off, full traceability, data under the health rules of your market.
How do you handle HIPAA and local health regulations?
As the design baseline. HIPAA in the US, KVKK in Türkiye, GDPR in Europe and the health rules of your jurisdiction shape the architecture before the first line is written.
Can clinicians override the system?
Always. The system recommends, documents and flags; clinicians decide. Override paths are part of the design, not an exception.
Which markets do you cover for healthcare?
The US and Canada from San Francisco; Europe, the Gulf and Türkiye from Istanbul, each inside its own data residency.
How fast can a non-clinical workflow go live?
Days to a working prototype on workflows like prior authorization or scheduling, weeks to governed production with sign-off built in.
- Human sign-off on clinical calls
- Full traceability by design
- Built for regulated care