Regulations are tightening. Boards are asking questions. We help you build the governance frameworks, technical controls, and compliance evidence your AI deployments need.
Enterprises are deploying AI faster than their governance can keep up. These are the three risks we see in every organization.
The risk
The EU AI Act is in force. NIST AI RMF is the US benchmark. SEC is scrutinizing AI disclosures. State-level AI laws are multiplying. Enterprises without governance programs face fines, enforcement actions, and market access restrictions.
What we do
We map your AI systems to applicable regulatory frameworks, identify compliance gaps, and build the documentation, processes, and technical controls needed to demonstrate conformity — before regulators come asking.
The risk
AI models making decisions about credit, hiring, pricing, or patient care carry material risk. Bias in training data, drift in production, and opaque decision logic create liability that most enterprises cannot quantify — let alone manage.
What we do
We implement model risk management programs: bias auditing, fairness testing, explainability tooling, performance monitoring, and documented validation procedures that satisfy both internal risk committees and external regulators.
The risk
Customers, employees, and the public expect AI to be fair, transparent, and accountable. One biased outcome that reaches the press can undo years of brand trust — and attract regulatory scrutiny that affects every AI initiative in the organization.
What we do
We help you establish responsible AI principles, embed them into development workflows, and create the reporting mechanisms that prove your AI systems operate within the ethical boundaries your stakeholders expect.
A layered approach that covers policy, risk assessment, technical controls, and compliance reporting — tailored to your regulatory landscape.
Our frameworks are built around the EU AI Act and NIST AI RMF. As new regulations emerge, your governance program adapts — no rebuilds required.
Governance controls are woven into your AI development lifecycle — not added as an afterthought. Testing, documentation, and compliance happen as you build.
Automated audit trails, continuous monitoring, and machine-readable compliance reports. Your governance program generates evidence as a byproduct of operations.
Risk classification, conformity assessments, technical documentation, and compliance programs aligned to EU AI Act requirements — before enforcement deadlines hit.
Full implementation of the NIST AI Risk Management Framework — Govern, Map, Measure, Manage — tailored to your organization's risk profile and AI portfolio.
Statistical testing for disparate impact, fairness metric selection, training data analysis, and documented remediation plans that satisfy regulators and stakeholders.
SHAP, LIME, and counterfactual explanations integrated into your models so decisions can be understood, justified, and defended — to customers, regulators, and courts.
Acceptable use policies, vendor AI assessments, role definitions, and organizational standards that turn governance from a concept into an operating model.
Continuous compliance monitoring, drift detection, bias regression testing, and automated evidence generation — governance that runs alongside your AI, not as a quarterly exercise.
We inventory your AI systems, map applicable regulations, classify risk levels, and identify governance gaps — producing a prioritized roadmap with clear milestones.
We build the governance framework: policies, technical controls, bias testing pipelines, explainability tooling, and compliance documentation — embedded into your existing AI workflows.
Ongoing compliance monitoring, automated evidence generation, and periodic re-assessments as your AI portfolio grows and regulations evolve. Governance that stays current.
AI governance is the set of policies, processes, and technical controls that ensure AI systems are developed and operated responsibly, fairly, and in compliance with applicable regulations. It matters because enterprises deploying AI face increasing regulatory requirements (EU AI Act, NIST AI RMF), reputational risk from biased or opaque models, and liability exposure from automated decisions that affect customers, employees, or the public.
We help enterprises comply with the EU AI Act (risk classification, conformity assessments, technical documentation), NIST AI Risk Management Framework, SEC guidance on AI disclosures, industry-specific regulations (HIPAA for healthcare AI, SR 11-7 for financial model risk), and emerging state-level AI laws in the US. Our governance programs are designed to adapt as regulation evolves.
We evaluate your AI models for demographic bias, fairness, and equitable outcomes across protected groups. This includes statistical testing for disparate impact, analysis of training data representativeness, fairness metric selection aligned to your use case (equalized odds, demographic parity, etc.), and actionable remediation plans. Audits produce documented evidence for regulators and stakeholders.
Yes. Most of our governance engagements start with AI systems already in production. We perform gap assessments against your target regulatory framework, prioritize the highest-risk systems, and implement governance controls incrementally — without requiring you to halt operations or rebuild from scratch.
Agentic AI systems — autonomous agents that take actions in business systems — require governance controls built into their architecture from day one. We embed guardrails, audit logging, human-in-the-loop checkpoints, and permission boundaries directly into the agent orchestration layer. If you're deploying agentic AI through KnightWorks, governance is built in, not bolted on.
Engagements range from focused assessments (2-4 weeks, mid five figures) to comprehensive governance programs with ongoing monitoring (6-12 months). We scope every engagement with clear deliverables tied to your regulatory requirements and risk profile. Contact us for a detailed assessment.
Tell us what you're deploying and which regulations apply. We'll show you exactly where the gaps are and how to close them.
Book a Governance Assessment