AI Assurance & Governance

Making AI Safe, Compliant
& Deployable

We enable enterprises in healthcare, life sciences, and information services & publishing to scale AI with confidence through human-verified governance and domain-trained expertise

Explore Pilot Engagement → Learn How It Works
$100M+
Claim recovery
identified
35 - 40%
Audit exposure
reduced
4 - 6 weeks
Pilot to
first results
Healthcare AI professional
✅
4.2% corrected
Coding error rate — pilot
🛡️
Audit Ready
Full traceability layer
Industries We Serve
🏥 Healthcare Systems 🏦 Information Services & Publishing 🧬 Life Sciences Coming soon...
The Challenge

AI Adoption is Accelerating—Scaling Safely is the Challenge

Enterprises are deploying AI at speed, and the bottleneck has shifted from generating outputs to trusting them at scale

⚠️

AI Outputs are Not Fully Trusted

AI-generated outputs are increasingly critical yet lack the verification layer required in regulated environments

📋

Compliance Creates Adoption Bottlenecks

Audit requirements and regulatory scrutiny block AI from moving out of pilot mode into full-scale deployment

🔍

No Traceability, No Defensibility

Errors without auditability create hidden financial, operational, and regulatory risk exposure

Healthcare data analytics
3–5%

Annual revenue leakage already occurring in healthcare RCM systems (HFMA)

Leakage drivers: denials (48%), registration/eligibility issues (23%), billing & collections (14%), coding (13%)
Our Solution

The AI Assurance & Governance Layer

A structured, human-verified framework that makes AI outputs trustworthy, auditable, and compliant at scale

01
🔬

AI Output Validation

Domain experts verify AI-generated outputs through structured multi-step QA workflows

  • Domain expert review
  • Multi-step QA workflows
  • Documentation alignment checks
  • AI accuracy baseline reporting
02
🏛️

Governance & Auditability

Proprietary scoring frameworks and fully traceable decision workflows deliver audit-ready documentation

  • Structured scoring frameworks
  • Full decision traceability
  • Explainability layer
  • Compliance-ready documentation
03
📡

Continuous Risk Monitoring

Ongoing error pattern detection with risk heatmaps and feedback loops that improve AI performance

  • Error pattern detection
  • Risk heatmaps
  • Feedback loops to AI
  • Real-time QA monitoring
See How a Pilot Works →
Get Started

Let's Evaluate Your AI Workflow

Tell us about your AI workflow. We'll quantify accuracy, risk exposure, and readiness to scale in a focused 4–6 week pilot

📞
Phone
+1 838 383 7374
📧
Email
info@phicognition.com
🔗
LinkedIn
linkedin.com/company/phi-cognition
Request a Pilot Engagement
We respond within one business day