Private, defensible AI offers firms handling sensitive data a compliance‑ready artificial intelligence solution that is fully traceable and auditable. Users begin with a free 10‑question self‑assessment to identify exposure, then receive a focused readiness session that prioritizes remediation steps and guides the build of a secure, regulator‑friendly AI system.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations that handle sensitive or high‑value data often lack mechanisms to ensure their AI models are transparent, auditable, and compliant with regulations such as HIPAA or industry‑specific rules. Without traceability and proper logging, AI deployments can expose firms to legal risk, regulator scrutiny, or client challenges. Assessing AI exposure typically requires extensive discovery work, which many companies cannot afford to undertake.
Solution
Kylecedrichanna offers a structured service that makes AI systems private and defensible for firms dealing with sensitive data. The process begins with a free, 10‑question AI‑Readiness Assessment that quickly scores an organization’s exposure. Based on the assessment, a one‑hour AI Readiness Session pinpoints the top two to three risks and provides a concrete remediation plan that can be acted on within a week. For deeper needs, a 1–2‑week AI Readiness Audit delivers a full exposure map, data and tool inventory, vendor contract review, and a prioritized automation roadmap with ROI estimates. All deliverables include documented architecture and a written build proposal, ensuring models are traceable, logged, and ready for regulator or legal review.
Target Audience
Primary customers are enterprises, financial institutions, healthcare providers, and other organizations that deploy AI on sensitive or regulated data and need to demonstrate compliance to regulators, clients, or legal counsel.
Features
- Free 5‑minute, 10‑question self‑assessment that generates a scored readiness report
- One‑hour live session that translates assessment results into prioritized remediation steps
- End‑to‑end 1–2‑week audit covering compliance mapping (e.g., HIPAA, Rule 1.6), data flows, and AI‑tool inventory
- Vendor and contract review with focus on Business Associate Agreements (BAA) and Data Processing Agreements (DPA)
- Delivered reference architecture and written implementation proposal with ROI‑based automation roadmap
- Emphasis on model traceability, logging, and audit‑ready documentation for regulator or legal scrutiny