Most organizations are adopting artificial intelligence faster than they can verify it is working as intended. RubinBrown's AI Assurance practice provides independent validation, attestation, and ongoing oversight that gives leadership, regulators, and stakeholders confidence that your AI systems are controlled, reliable, and defensible.

What Is AI Assurance?

AI assurance is the independent evaluation of whether an organization's AI systems, governance structures, and risk controls are functioning as designed. AI governance is led by your management, but assurance is performed independently, providing an objective view of whether the controls management has built are actually working.

RubinBrown organizes its AI Assurance practice around four disciplines, the ABC’S of AI with RubinBrown Trust Services.

• Audit & Assurance: Independent validation of AI controls, outputs, and governance structures
• Business Resilience: Ensuring whether AI programs can withstand disruption, technical dept, and operational risk
• Change Control: Evaluating whether AI-assisted development and deployment practices are governed and testable
• Security: Assessing AI-specific vulnerabilities, shadow AI exposure, and third-party risk.

As regulatory expectations around AI continue to mature, independent assurance is becoming a prerequisite for organizations that rely on AI in consequential decisions, face regulatory examination, or need to demonstrate AI accountability to customers, investors, or boards. It is also increasingly relevant for organizations subject to SOC 1, SOC 2, or other attestation reporting where AI systems touch financial reporting or service commitments.

RubinBrown brings a distinct combination of audit credibility and AI expertise to this work. We understand what defensible looks like from the inside because we have evaluated it from the outside. That perspective shapes how we approach every assurance engagement.

 

Internal and External Assurance

AI Assurance serves two distinct audiences:

Internal assurance is focused on executive confidence. It provides leadership with an independent, risk-based view of how AI systems are performing, where controls are weak, and where financial or operational exposure exists. This work is advisory in nature (aligned to leading frameworks including NIST, CIS, and the CSA AI Controls Matrix) and is designed to give management the insight needed to act before problems become visible externally.

External assurance is focused on market confidence. It provides customers, regulators, and partners with independent attestation that your AI systems are governed, controlled, and trustworthy. This includes SOC-style reporting on AI controls and is particularly relevant for organizations where AI touches client-facing processes, regulated activities, or service-level commitments.

Organizations that build both layers of assurance create a compounding advantage: internal assurance improves the control environment, and external assurance demonstrates that improvement to the audiences who matter most.

RubinBrown's AI Assurance Service Packages

RubinBrown offers four AI Assurance service packages, each drawing from our portfolio of seven services, which are also available individually for organizations with targeted needs.

Quick Start

• Get a clear, objective view of where you stand.
• Organizations choose between two entry points: an AI Risk and Readiness Assessment for a comprehensive evaluation of governance maturity, control effectiveness, and risk exposure, or a Generative AI Risk Quick Scan for a faster, focused review of generative AI usage and associated risk concentrations.
• Both deliver a prioritized picture of where leadership needs to act.

Build

• Translate assessment findings into a governed AI program.
• The Build package delivers the AI Governance Framework and Operating Model Assessment your organization needs to operate AI responsibly, including policies, accountability structures, decision rights, and initial compliance readiness.
• Organizations that complete this package have the governance infrastructure needed to support independent assurance.

Assure

• Submit your AI controls to independent validation.
• The Assure package covers AI Compliance and Regulatory Readiness and includes model validation and readiness review, bias testing, and audit support.
• This is the layer that converts the governance work management has built into externally defensible controls

Ongoing

• Treat AI assurance as a continuous discipline.
• The Ongoing package combines quarterly AI Internal Audit and Controls Enablement with annual Independent AI Assurance and Generative AI Governance and Risk Management engagements, ensuring your assurance posture keeps pace with your AI program as it evolves.

Standalone AI Assurance Services

Each of RubinBrown's AI Assurance offerings is available independently for organizations with specific needs or existing programs that require targeted support.

AI Risk and Readiness Assessment

A comprehensive evaluation of your organization's AI environment, governance maturity, control effectiveness, and risk exposure. Delivers a prioritized roadmap for risk reduction and governance improvement.

GenAI Risk Quick Scan

A focused, accelerated review of generative AI usage across your organization, including shadow AI inventory, data exposure risks, and control gaps specific to large language model and generative tool deployment.

AI Governance Framework and Operating Model Assessment

Design and documentation of the policies, accountability structures, decision rights, and operating model needed to govern AI responsibly. Includes initial compliance alignment with applicable regulatory frameworks.

AI Compliance and Regulatory Readiness

An independent assessment of how your AI program aligns to relevant regulatory expectations and industry standards, including the NIST AI Risk Management Framework,.

Independent AI Assurance

External, independent validation of your AI controls against defined standards, with attestation reporting suitable for regulators, investors, or boards. Includes SOC-style reporting where applicable.

GenAI Governance and Risk Management

A dedicated review of governance and risk controls specific to generative AI systems, including model selection, prompt management, output validation, and third-party dependency risk.

AI Internal Audit and Controls Enablement

Advisory and direct support for internal audit functions evaluating AI tools and controls. Includes audit program development, control testing frameworks, and ongoing quarterly review engagements.

Why RubinBrown

Most AI Assurance providers come from one of two perspectives: technology advisory firms that understand AI but lack audit independence, or traditional audit firms that have independence but limited AI depth. RubinBrown bridges both.

Our assurance professionals bring audit credibility alongside hands-on AI implementation and governance experience. We know how to evaluate controls because we have helped build them. We know what regulators and auditors look for because we have sat in that seat. And we bridge business, risk, and technical teams in a way that translates AI risk into language that leadership and boards can act on.

For organizations with governance foundations already in place, AI assurance is the natural next step. For those building both simultaneously, RubinBrown offers integrated engagements that advance governance and assurance together.

Schedule an AI Assurance Conversation with one of our Experts today.