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Enterprise AI Trust Architecture

The Compliance Infrastructure AI Companies Need to Close Deals

These services are designed for companies that need compliance infrastructure built around their actual AI stack. I identify the gaps enterprise buyers will flag, and implement the controls and supporting systems needed to address those gaps so teams can answer compliance questions and closed deals with confidence.

2× First Place IBM AI Challenge Winner
20+ AI-Native Systems Developed
50+ Production API Endpoints Tested
40+ Compliance Automations Built
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Why AI-Native Companies

Most compliance consultants have never deployed an AI system. Most AI builders have never had to defend one through a security review. My work sits at that intersection. AI architecture, security testing, and the evidence enterprise buyers require before they approve adoption.

Built for AI-Native Architecture

Standard compliance checklists were built for traditional SaaS, not RAG pipelines, vector databases, LLM gateways, training data flows, model access controls or AI specific governance. Every engagement is structured around how your AI system actually works, not a generic framework.

Builder + Compliance Operator

I do not approach compliance as paperwork alone. I have built AI-native SaaS systems, deployed serverless cloud applications, integrated Zero Trust infrastructure, and tested production APIs. I know the realities behind the frameworks, not just the frameworks themselves.

Production Security Experience

Tested and secured production systems at 40,000+ user scale. Including API security, performance testing, vulnerability assessment, and automated regression coverage across 50+ endpoints aligned with OWASP Top 10 throughout.

Enterprise Framework Fluency

Every engagement is grounded in the frameworks your enterprise buyers already evaluate against. SOC 2, ISO 27001, NIST CSF, EU AI Act, ISO 42001, mapped directly to vendor security questionnaires, AI governance, risk mitigation and audit evidence.

Architecture-to-Evidence Mapping

Enterprise security teams do not only want claims. They want proof. I help translate your technical architecture into the controls, documentation, and test evidence procurement teams expect to see before approving adoption.

Built Around Deal Momentum

Enterprise deals move on procurement timelines, not generic consulting schedules. Every engagement is scoped around the moment where deals actually stall: security review, vendor risk, audit preparation, procurement scrutiny, and compliance evidence gaps.

Flexible Engagement Models

Each service has its own scope, timeline, and structure detailed in full on its own page.

Assessment

1–3 weeks

For teams that need to know what enterprise buyers will find — before they find it.

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Build

6–12 weeks

For teams that need the controls, policies, and evidence layer built — not just identified.

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Validation

2–4 weeks

For teams that need AI security testing and OWASP-aligned evidence enterprise buyers ask for directly.

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Retainer

3-month minimum

For teams that need ongoing control monitoring and questionnaire support after the build is complete.

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How This Works

A straightforward process designed to deliver results with clear communication at every step.

01

Discovery

We start with a conversation to understand your challenges, goals, and requirements. This might be a quick call or a detailed discovery session, depending on the scope.

02

Proposal

I'll provide a clear proposal outlining the recommended approach, timeline, deliverables, and investment. No surprises, you'll know exactly what to expect.

03

Execution

Once approved, we kick off. You'll receive regular updates and have direct access to me throughout the engagement. I keep you informed every step of the way.

04

Delivery & Support

Final deliverables are handed off with documentation and knowledge transfer. I don't disappear after delivery I'm available for questions and follow-up support.

Industries Where AI Compliance Is Highest-Stakes

These are the sectors where AI governance requirements are most active and where the cost of a failed procurement review is highest.

AI & Machine Learning Companies
Enterprise SaaS
Financial Services
Healthcare & Life Sciences
Insurance
Government & Public Sector
Legal Technology
HR Technology

Adjacent sectors: defense, energy, telecom, and others with regulated AI exposure are within scope as well.

Let's Discuss Your Build Scope

Let's discuss your needs and find the right solution for your business. Schedule a free consultation or send a message to begin the conversation.

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Or reach out directly: patrickndille@gmail.com