KNS AI Risk Advisory

About Us

Who we are

Risk and AI Specialists

Over a decade of blending the model lifecycle of AI Systems with robust risk management practices.

What we believe

Responsible and Resilient

Real-world impact, fairness, and transparency are cornerstone measurements of AI maturity.

How we work

Fast and Pragmatic

Customized, lightweight playbooks, measurable tests, and clear reports your executives, customers, and regulators can use.

Industries We Serve

Focused expertise for U.S. Healthcare and Financial Services across all model types.

Healthcare

Clinical decision support
Patient risk scoring
Virtual triage
Ops, Claims, & admin automation
Subrogation & payment integrity

Financial Services

Credit & default underwriting
Fraud detection
Actuarial pricing models
Insurance underwriting & claims
Consumer & marketing analytics
AI agent & customer chatbots

Case Studies: Bias testing, patient risk scoring validation, and NIST AI RMF audit

How we established a client's bias testing framework, validated the appropriateness of a client's patient risk scoring tool, and ensured a client’s AI System compliance by aligning the NIST AI RMF with their model lifecycle.

Read the full case study

Risk Management Services

First-line playbooks. Second-line validation. Third-line audits.

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YTD Models Reviewed

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YTD Bias Tests Completed

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YTD Playbooks Delivered

First Line of Defense

Enabling Model Owners and Chief Risk Officers to effectively monitor and mitigate critical risks their AI Systems face.

AI Governance Playbooks: Custom playbooks for AI model lifecycle, governance, and documentation.
Bias Testing Frameworks: Embed fairness and equity checks from development to deployment.
Compliance Guardrails: Tailor compliance with EO's, HIPAA, FCRA, OCC, NAIC, and NIST standards.
Chief Risk Officer Training: Equiping CRO's with the expertise to lead AI risk management within their business.

Second Line of Defense

Conducting independent model risk management (MRM) validations and establishing enterprise MRM policies.

MRM Validations: Objective testing of model transparency, accuracy, fairness, and resilience.
Challenge Function: Provide an independent “second look” to question model assumptions.
Enterprise Policies: Establishing review cadences, validation playbooks, and risk materiality thresholds.

Third Line of Defense

Executing AI audits ensuring AI systems are compliant. Expert guidance navigating external forces on your AI Systems.

AI Audits Aligned with Colorado AI Act & NIST AI RMF: Compliance reviews mapped to state laws and federal standards.
Internal Control Evaluations: Test governance processes, documentation, and escalation.
End-to-End Oversight: Confirm first- and second-line defenses are effective and aligned.
Operational Resilience Checks: Audit business continuity and disaster recovery for AI models.
Third-Party & Vendor Audits: Review risk in external AI models and data providers.