New thinking on enterprise AI is live → Read The Deployment Layer
Home Solutions Advisory Our Impact Resources AI Ethics About 📰 Newsletter Contact us
AI Governance Advisory

Expert guidance for
responsible AI
at enterprise scale.

We don't just tell you what's possible — we help you build it safely, sustainably, and in compliance with the regulations that govern your industry.

Book a consultationView advisory tiers
Advisory tiers

Choose your engagement model

From a focused strategy sprint to a deep embedded partnership — we adapt to where you are and what you need.

Essentials
Assess
A structured AI readiness assessment for organizations just getting started or needing an independent perspective on their current AI strategy.
  • AI maturity assessment
  • Use case prioritization workshop
  • Data & infrastructure audit
  • Governance gap analysis
  • Strategic roadmap (30/60/90 day)
  • Executive presentation & report
Get started
Enterprise
Scale
A strategic long-term partnership for enterprises running AI at scale — focused on governance, optimization, compliance, and center of excellence development.
  • Everything in Build
  • AI Center of Excellence buildout
  • Enterprise compliance program (GDPR, SOX, FCRA, BSA)
  • Model risk management (OCC/SR)
  • Executive AI strategy sessions
  • Quarterly roadmap planning
  • Fractional Chief AI Officer support
  • Priority access & dedicated support
Contact us
AI governance framework

Responsible AI built in,
not bolted on

Every engagement integrates our proven governance framework — so your AI systems are trustworthy from day one.

Transparency & auditability
Every AI decision is explainable and traceable. Model documentation, decision logs, and audit trails that satisfy regulators.
Regulatory compliance
Deep expertise in GDPR, FCRA, SOX, BSA, GLBA, CCPA, OCC/SR, NIST FISMA. We navigate the landscape so your teams can build.
Bias detection & fairness
Systematic bias testing across demographic groups, loan decisions, credit underwriting, and hiring models. Fairness metrics in every pipeline.
Model risk management
OCC/SR-compliant model validation, documentation, and risk tiering. We've built model risk programs for institutions managing billions in assets.
Data governance
Data lineage, access controls, retention policies, and quality frameworks that make AI trustworthy and maintainable at scale.
Stakeholder enablement
We build internal AI literacy — from engineering teams to C-suite. Training and documentation that make your organization self-sufficient.
How we work

Our engagement process

A structured approach that moves fast without cutting corners — from first call to production deployment.

01
Discovery call
We understand your goals, constraints, team structure, and existing AI maturity. No templates — just a real conversation.
02
Assessment & scoping
We audit your data, infrastructure, and current AI initiatives. We identify high-ROI use cases based on evidence, not assumptions.
03
Architecture & build
We embed with your team — design sessions, code reviews, architecture reviews — to build systems that are production-ready from the start.
04
Deploy & govern
We stay through deployment and establish the operational backbone: monitoring, drift detection, governance, and long-term maintenance.

Ready to build AI that actually works?

Let's start with a conversation about your goals, constraints, and what responsible AI can do for your organization.

info@aiapas.com Based in Dallas, TX · Global clients