AI Risk & Compliance Services
AI is already embedded in your organization. The question is no longer whether your team is using AI — it's whether that usage is controlled, documented, and defensible. NeuralEdge Consulting provides structured AI compliance services that give regulated organizations a clear, auditor-ready view of their AI risk exposure. Every engagement produces outputs you can use the next day: governance frameworks your board can approve, risk classifications your compliance team can act on, and documentation your regulators can examine.
Every NeuralEdge engagement is anchored in a defensible ai governance framework, built by ai governance expert Helena Rush. We do not assemble ad hoc policies. We deploy a regulator-tested structure mapped to NIST AI RMF, ISO 42001, EU AI Act, and the sector-specific rules that apply to your organization. The starting point is always a comprehensive ai risk assessment covering data inputs, model inventory, decision impact, and regulator exposure.
AI Governance Frameworks
Structured governance frameworks aligned to SEC, FINRA, HIPAA, GLBA, and other regulatory expectations for AI usage.
Financial firms, healthcare organizations, and insurance providers face increasing regulatory scrutiny around how AI is used, who owns AI decisions, and what controls are in place. Without a structured AI governance framework, you are operating with unquantified risk.
What's Included in AI Governance Framework Engagements
- Governance structure design and documentation
- Policy development for AI usage and oversight
- Regulatory mapping to applicable frameworks including NIST AI RMF, ISO 42001, and EU AI Act
- Role and responsibility definitions for AI oversight
- Board and executive reporting structures
A financial services firm preparing for an OCC examination needs to demonstrate that AI used in credit underwriting is explainable, monitored, and documented. NeuralEdge builds the governance structure that satisfies those expectations before the examiner arrives.
Designed for: Organizations that need to establish or formalize AI governance under regulatory oversight.
AI Risk Classification & Controls
Risk classification models and control design for AI systems, aligned to organizational risk appetite and regulatory expectations.
Not all AI usage carries the same risk. A grammar-checking tool is not the same compliance concern as an AI model making credit decisions. Risk classification lets you allocate oversight proportionately.
What's Included in AI Risk Classification Engagements
- AI usage discovery and inventory
- Risk classification by use case and exposure
- Control design and gap identification
- Risk scoring and prioritization
- Ongoing monitoring framework design
Designed for: Organizations that need to classify AI risk exposure and implement proportionate controls.
Compliance Gap Analysis
Structured assessment of current AI practices against regulatory expectations and industry standards.
What's Included in Compliance Gap Analysis Engagements
- Current-state AI compliance assessment
- Regulatory requirement mapping
- Gap identification and severity scoring
- Remediation roadmap and prioritization
- Stakeholder-ready findings report
A healthcare organization using AI tools for patient triage needs to verify those tools are classified correctly under HIPAA, data handling meets de-identification standards, and a Business Associate Agreement is in place with every AI vendor. NeuralEdge gap analysis surfaces exactly those issues before an audit does.
Designed for: Organizations preparing for regulatory exams or responding to audit findings related to AI.
Audit-Ready Documentation
Structured documentation packages designed for internal governance review and external regulatory scrutiny.
Regulators don't just want to know you have AI governance — they want to see it. Audit-ready documentation is the difference between a clean examination and a findings letter.
What's Included in Audit-Ready Documentation Engagements
- AI usage inventory and classification documentation
- Control matrix and policy alignment records
- Risk assessment and mitigation documentation
- Governance framework and oversight records
- Examiner-defensible reporting packages
Designed for: Organizations that need to demonstrate AI oversight to regulators, auditors, or boards.
Our Process
A structured, repeatable approach designed for regulatory environments.
Intake and Scope Definition
We begin by understanding your regulatory environment, organizational structure, and current AI usage to define the scope of the engagement.
Discovery and Assessment
We conduct a structured review of AI usage, data handling, governance controls, and regulatory alignment across your organization.
Risk Classification and Control Design
We classify AI risk by use case and exposure, then design controls and governance structures proportionate to the identified risk.
Deliverable Production and Knowledge Transfer
We produce audit-ready documentation, present findings to stakeholders, and ensure your team can maintain the governance framework independently.
Request an AI Compliance Assessment
If AI is being used in your organization, you need to understand the compliance implications. We provide a structured assessment that identifies risk and gives you a clear path forward.
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