Most organizations are deploying AI fast. Very few are doing it with proper controls, risk frameworks, or audit readiness. That's the gap we fill — built on 8+ years of Big 4 and Fortune 500 internal audit expertise.
Organizations deploying AI without a governance framework are exposed — to regulatory risk, model failure, bias, and audit findings that could have been prevented.
AI systems are being deployed without documented controls, access governance, or override protocols — the same gaps that get flagged in SOX audits.
Automated AI decision systems run without systematic testing, bias assessment, or drift monitoring. Regulators are catching up fast.
When an AI model makes a wrong call, who's accountable? Without governance documentation, nobody can answer that question.
Vendors are embedding AI into your tools. Most organizations have no framework for assessing or monitoring that exposure.
The same rigor that makes SOX audits work — control design, operating effectiveness testing, segregation of duties — applies directly to AI systems. We know both worlds.
We translate your AI risk into enforceable controls, audit-ready documentation, and board-level reporting that gives your organization confidence to deploy AI responsibly.
Every engagement starts with a free 15-minute discovery call. We scope exactly what you need — no retainers you don't need, no jargon.
We design and implement a governance framework for your AI systems — aligned to NIST AI RMF, ISO 42001, and your regulatory environment. Policies, controls, accountability structures, and documentation — built from scratch or assessed against existing programs.
We assess your AI systems the same way we'd assess a SOX control — design, operating effectiveness, exceptions, and remediation. Identify where your AI programs are exposed before regulators or auditors do.
Aligned to SR 11-7 and emerging AI model risk standards. We help financial services and regulated organizations establish model inventory, validation protocols, and risk tiering frameworks for AI-driven decision systems.
Preparing for an internal audit, regulatory exam, or ISO 42001 certification? We review your AI governance documentation, close the gaps, and prepare your evidence package — so you go in ready, not reactive.
Your vendors are embedding AI into tools you already use. We assess and document your third-party AI exposure, design vendor risk questionnaires, and build ongoing monitoring protocols aligned to your risk appetite.
Not ready to hire a full-time AI governance head? We serve as your fractional AI governance function — attending governance committees, reviewing AI use cases, and keeping your program current as regulations evolve.
Most AI governance consultants come from law or technology. We come from internal audit — and that changes everything.
We built SOD frameworks for SAP across 200+ users. The same logic governs who can access, modify, or override AI models.
We built Power BI dashboards that caught variances before they became findings. The same approach monitors AI model drift and anomalous outputs.
We drove a 12% exception rate to under 2% in automated procurement. That's model validation — applied to automated AI decision systems.
8 years of SOX ICFR work means we know exactly what auditors and regulators look for — and how to document AI controls to withstand scrutiny.
Who can train, modify, deploy, or override your AI models? Access governance for AI systems — designed with the rigor of a SOD framework.
Real-time monitoring for model drift, bias, and anomalous outputs — the AI equivalent of a continuous controls monitoring dashboard.
Systematic testing of AI decision systems for systematic failure — the same methodology we used to validate automated financial controls.
AI governance documentation built to survive an internal audit, regulatory exam, or ISO 42001 certification review — because we've been on both sides.
We work with financial services firms, regulated enterprises, funded startups, and growing businesses who understand that AI without governance is a liability.
SR 11-7 model risk, AI controls, regulatory exam readiness. We speak your language — SOX, ICFR, second line, RCSA. Let's build your AI governance program before your regulator asks for it.
Deploying AI across business units with no governance layer? We design the framework, map your controls, and prepare your documentation — built on experience inside BD, IFF, and Nestlé.
Building AI products and preparing for your next round or first enterprise sale? We build the AI governance documentation that gives investors and enterprise clients confidence.
Law firms, consulting firms, and advisory practices embedding AI into client work. We build the governance overlay that protects your practice and your clients.
AI in clinical or operational workflows carries elevated regulatory risk. We map your AI systems to applicable frameworks and build the controls documentation your compliance team needs.
Using AI tools in your operations but not sure what governance means for your size? We right-size the framework — practical controls without enterprise complexity.
I'm Usman Hamid — an internal audit and controls professional with 8+ years across EY, Becton Dickinson, IFF, and Nestlé. I've spent my career finding what breaks in financial and operational systems before it costs organizations money or reputation.
Now I apply that same lens to AI. As organizations race to deploy AI, the governance infrastructure hasn't kept pace. The result: model failures, regulatory exposure, and audit findings that could have been prevented with the right controls framework from the start.
I'm building a practice at the intersection of Big 4 audit methodology and AI governance — combining deep controls expertise with the emerging frameworks organizations need to deploy AI responsibly. That combination is genuinely rare in the market today.
"Most companies are adopting AI fast. Very few are doing it with proper governance. The gap between those two things is where I work."
Free 15-minute call to understand your AI landscape, current governance state, and regulatory environment.
We map your current AI systems and controls against your target framework — NIST AI RMF, ISO 42001, or SR 11-7.
We design the governance framework, policies, and controls — scoped to your size, risk appetite, and regulatory requirements.
We build the documentation, train your team, and deliver an audit-ready package that stands up to scrutiny.
Book a free 15-minute discovery call. We'll review your AI landscape and tell you exactly what governance looks like for your organization — no pressure, no pitch.
Usually responds within 24 hours · Serving clients nationwide · NJ-based, remote-ready