AI Governance Made simple. AI adoption made Confident.
We help you design, implement, and operate practical AI governance—from policies and frameworks to everyday controls—so you can innovate with confidence, manage risk, and meet the expectations of regulators, boards, and customers.
Senior expertise. Direct accountability
Work directly with a principal consultant bringing 23+ years of technology risk and governance experience—with hands-on involvement and clear accountability throughout your engagement.
Practical Governance. Built Around You.
Clear policies, scalable frameworks, and actionable controls tailored to your business—designed to be straightforward to implement, operate, and sustain.
Boutique Service. Exceptional Value.
Personalized attention and flexible engagements focused on what you need—combining senior expertise with a lean delivery model that keeps costs proportionate to your goals.
Our Services
AI Governance Framework — Design and Operationalization
Establish a robust foundation for your AI initiatives with customized frameworks that align regulatory compliance with operational agility. We deliver actionable policies and oversight structures that transform complex governance into a strategic business advantage.
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AI Governance Assessment & Roadmap
Know your risks. Identify compliance and governance gaps. Move forward with one integrated assessment, a prioritized roadmap, and practical support to put it into action.
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AI Use Case Risk & Controls Assessment
Deploy GenAI, AI agents, and other AI solutions with confidence. We assess use case risks, define required safeguards, and evaluate existing controls—building on what works and delivering a prioritized action plan to close gaps.
Implementing Microsoft Copilot, ChatGPT, an AI agent, or another specialized AI solution? We assess the risks of your specific use case, identify the controls required, and evaluate how well your existing safeguards address those risks.
Our approach builds on your existing policies, procedures, and controls wherever practical—reducing duplication and focusing improvements where they matter most.
What you receive:
Use case risk assessment: Evaluate risks arising from the solution’s purpose, data, integrations, level of autonomy, and business impact.
Required controls: Define proportionate safeguards mapped to identified risks, including human oversight and approval requirements.
Existing controls assessment: Assess the design and implementation of relevant controls, with effectiveness testing where included in scope.
Control gap analysis: Identify missing or inadequate safeguards and opportunities to extend existing controls and procedures.
Management action plan: Establish prioritized remediation actions with accountable owners, target dates, and interim safeguards where needed.
Make informed deployment decisions with clear risks, practical controls, and an actionable improvement plan.
Compliance Audit
Preparing organizations for emerging AI regulations through comprehensive readiness audits and gap analysis.
Governance Training
Educating boards and leadership teams on the strategic imperative of responsible AI implementation.
Model Monitoring
Establishing continuous monitoring systems to ensure ongoing AI model fairness, safety, and performance.
Why BuildAI Governance
Deep Domain Expertise
We bring over 20 years of hands-on experience in technology risk and global AI compliance across highly regulated industries.
Senior Principal Delivery
You work directly with senior leadership on every engagement, ensuring consistent quality without layers of junior consultants.
Practical Execution
We focus on sustainable, scalable implementation that integrates with existing processes rather than adding unnecessary complexity.
How We Work
Step 1
Discovery & Strategy
We begin by assessing your current AI initiatives and identifying regulatory requirements to build a tailored governance roadmap for your enterprise.
Step 2
Framework Implementation
We design and integrate practical governance controls and monitoring systems into your existing deployment workflows to ensure ethical AI use.
Step 3
Enablement & Scale
We empower your staff with governance training and scalable protocols, ensuring long-term self-sufficiency and trustworthy AI expansion at enterprise scale.
Meet the Principal
Vaibhav Agarwal, Lead Principal
Vaibhav is a seasoned Technology Risk and AI Governance leader with 20+ years of experience across financial services, insurance, retail, and consulting. His expertise spans AI governance and risk management, technology and cybersecurity risk, regulatory compliance, and enterprise controls, with experience applying leading frameworks including NIST AI RMF, ISO/IEC 42001, ISO 27001, COBIT, and OSFI guidance. Throughout his career, Vaibhav has built and operationalized risk and governance programs, developed control frameworks, and advised senior leadership on complex technology and emerging AI risks. At BuildAI Governance, he works directly with clients to develop practical, scalable, and sustainable AI governance solutions that enable responsible AI adoption without unnecessary complexity.
