Kaya
Kaya
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Care cannot wait on manual review. Compliance cannot accept a black box.

Kaya runs documentation, case routing, and approvals across clinical and operational teams with governance and traceability built into every step, so every decision can be explained to any reviewer. 

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The Challenge

Where AI stalls in healthcare operations.

Healthcare organizations operate across fragmented systems, strict regulatory requirements, and time-sensitive decisions. Intelligence exists, but often breaks down between documentation, review, and action. 

Common Challenges

  • Disconnected clinical and operational systems
  • Manual documentation and case routing
  • Slow, inconsistent approval processes
  • Limited auditability across decisions
  • Difficulty scaling AI safely in regulated care environments 
Governed AI execution for healthcare and life sciences on the Kaya platform
Kaya Enterprise AI Execution Platform — the iFlow cycle: Learn, Signal, Context, Policy, Decision, Action

The Kaya Approach

How intelligence moves in practice.

Kaya Intelligence Flows (iFlows) define how AI travels across healthcare systems (from initial signal to documented outcome) ensuring execution is consistent, traceable, and compliant. 

Example Healthcare Flows 

  • Clinical Documentation & Review: Coordinate data capture, validation, and approvals
  • Case Routing & Escalation: Apply policy-driven decisions with human-in-the-loop controls 
  • Care Coordination: Align clinical, operational, and administrative actions 
  • Regulatory & Compliance Review: Apply governance with full audit trails 
LEARN ABOUT iFLOWS

Built on the platform

Capabilities Designed for Safety and Oversight. 

Healthcare requires intelligence that supports people, not one that replaces accountability.

Human-in-the-Loop Execution 

Built-in approvals, escalations, and checkpoints across clinical and operational workflows. 

Regulatory-Grade Traceability 

End-to-end documentation across clinical workflows, routing, and decision processes.

Domain-Specific Isolation 

Separate clinical, operational, and administrative intelligence by role and risk. 

Policy-Aware Intelligence Movement 

Ensure intelligence flows only within approved care and compliance boundaries. 

Kaya enables coordinated care operations without compromising responsibility or compliance. 

EXPLORE THE PLATFORM

Operational Impact 

What changes when execution is governed. 

Outcomes:

  • Faster documentation and case resolution
  • Reduced operational friction and rework
  • Clear visibility into decision paths
  • Scalable execution across care teams 
Governed AI execution for healthcare and life sciences

Trust Means

Safety, Oversight, and Accountability. 

In healthcare, trust is defined by patient safety, regulatory compliance, and clear human accountability. 

Human-in-the-Loop Control 

Clinical and operational decisions include defined approval paths, escalations, and oversight where required. 

Regulatory-Grade Traceability  

End-to-end documentation supports audits, reviews, and compliance across regulated workflows. 

Policy-Aware Coordination 

 Intelligence moves only within approved clinical and operational boundaries. 

Kaya ensures intelligence supports care, without compromising safety, compliance, or responsibility. 

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Designed For

Built for healthcare teams. 

Clinical & Operational Leaders

Visibility, consistency, and compliance 

Care & Ops Teams

Faster execution with less manual burden 

IT & Architecture 

Secure and scalable without system replacement 

In Practice

Designed for care and compliance at scale. 

Kaya is built for environments where intelligence must move safely, predictably, and continuously; without compromising operational integrity. 

Bring dependable, defensible AI execution to healthcare operations.

See how Kaya turns intelligence into production-ready execution across your most critical healthcare workflows. 

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CASE STUDY · FINANCIAL SERVICES

Trade-fail resolution, governed and in production.

A global financial-services firm runs trade fail resolutions powered by the Kaya platform, early results showing a 70% reduction in costs.

The Business Problem

  • Unresolved settlement fails carry direct costs: fines and fees on the failed trades, financing and funding charges, and the operational overhead of resolving them, alongside counterparty exposure.
  • Visibility typically arrives at or after end of day, once the cost is already locked in.
  • Without a live, exposure-ranked view, operational attention spreads evenly rather than concentrating on the positions that carry the most risk.

The Solution

  • The platform continuously evaluates settlement obligations through the trading day and surfaces those failing, or at risk of failing, ranked by dollar exposure, while there is still time to act.
  • Evaluation is deterministic, driven only by explicit upstream signals: the same inputs produce the same classification on every run.
  • The platform identifies and prioritizes; the operations team retains the decision, and every state change is timestamped and attributed.
  • It runs on the firm’s own AWS infrastructure, consuming the firm’s existing data feeds over event stream, APIs, and secure file transfer.

Results

70%

reduction in costs in early results.Client-stated, measured on live data.

  • SOC 2 Type II attested and ISO 27001 certified.
AWS Qualified Software