Our Services
Enterprise AI Governance
Our Enterprise AI Governance services help organizations deploy artificial intelligence responsibly, strategically, and in compliance with evolving regulatory frameworks. We work with executives, legal teams, and technical leaders to design and implement governance structures that balance innovation with risk management.
We provide end-to-end guidance, including:
Policy & Framework Development – Establish clear standards for ethical AI use, data stewardship, accountability, and decision-making.
Regulatory & Compliance Alignment – Ensure adherence to global laws and industry-specific regulations, including data privacy and emerging AI legislation.
Risk Assessment & Controls – Identify and mitigate risks related to bias, transparency, security, and operational resilience.
AI Lifecycle Oversight – Implement best practices for model development, deployment, monitoring, and retirement.
Training & Change Management – Equip teams with the knowledge and tools to embed governance into day-to-day operations.
By integrating governance into your enterprise strategy, we enable you to accelerate AI adoption while protecting your reputation, customers, and long-term business value.
AI Project Governance
Our AI Project Governance services ensure that individual AI initiatives are executed with clarity, accountability, and measurable impact. We help organizations align each project with enterprise strategy, regulatory requirements, and ethical standards, while keeping delivery on time and on budget.
We provide comprehensive support across the project lifecycle, including:
Project Oversight & Controls – Establish governance structures, roles, and checkpoints for effective decision-making.
Risk & Compliance Management – Identify potential risks early and integrate controls to maintain ethical, legal, and operational compliance.
Quality & Performance Assurance – Define success metrics, monitor outcomes, and validate model performance against business objectives.
Stakeholder Alignment – Facilitate collaboration across business, technical, and compliance teams to ensure consistent communication and accountability.
Sustainability & Handover – Create documentation, monitoring frameworks, and ownership structures for long-term project success.
With disciplined project governance, we help organizations minimize risk, maximize ROI, and build trust in AI outcomes.
Enterprise AI Compliance Review
Enterprise AI Compliance Review
Our Enterprise AI Compliance Review services help organizations assess whether their AI systems meet current legal, regulatory, and ethical standards. With global laws and industry guidelines evolving rapidly, we provide a structured evaluation to ensure your AI practices are transparent, accountable, and defensible.
Our review process includes:
Regulatory Mapping – Identify applicable laws, standards, and frameworks across jurisdictions and industries.
Policy & Procedure Assessment – Evaluate internal AI policies, governance frameworks, and documentation against compliance requirements.
Model & Data Review – Examine datasets, algorithms, and outputs for risks related to bias, privacy, security, and explainability.
Gap Analysis & Recommendations – Highlight compliance vulnerabilities and provide actionable steps to close them.
Audit-Readiness Support – Prepare documentation and processes for regulatory inquiries, certifications, and third-party audits.
By proactively reviewing AI systems for compliance, we help organizations reduce legal risk, strengthen stakeholder trust, and maintain a competitive edge in responsible AI adoption.
Project AI Compliance Review
Our Project AI Compliance Review services provide targeted oversight of individual AI initiatives to ensure they meet regulatory, ethical, and organizational standards before deployment. We help project teams navigate compliance requirements without slowing innovation, reducing risk at every stage of the AI lifecycle.
Our services include:
Regulatory & Policy Checkpoints – Verify project alignment with applicable laws, industry guidelines, and internal governance policies.
Data & Model Assessment – Review datasets, training methods, and outputs for risks related to bias, fairness, transparency, and privacy.
Documentation & Audit Trail – Ensure project records demonstrate compliance and accountability for internal and external stakeholders.
Risk Identification & Mitigation – Flag compliance vulnerabilities early and provide corrective action plans.
Deployment Readiness Review – Confirm models meet compliance standards before scaling or going live.
By embedding compliance reviews directly into the project workflow, we enable organizations to innovate responsibly while maintaining legal, ethical, and operational safeguards.
Employee AI Literacy Training
DrAI offers AI Act compliant AI literacy training. Our AI Literacy Training empowers business leaders, legal teams, and employees at all levels to understand, evaluate, and engage with artificial intelligence responsibly. We design customized learning programs that demystify AI concepts, foster critical thinking, and build confidence in applying AI to real-world business contexts.
Training programs cover:
Foundations of AI – Core concepts, terminology, and capabilities explained in clear, practical terms.
Ethics & Governance – Understanding bias, fairness, transparency, and accountability in AI systems.
Regulatory Awareness – Guidance on evolving AI laws, standards, and compliance requirements.
Practical Applications – Industry-specific case studies to connect AI concepts with business outcomes.
Change Readiness – Building a culture that embraces responsible innovation and collaboration with AI.
By raising organizational literacy, we help clients reduce risks, make informed decisions, and unlock the full value of AI in a responsible and sustainable way.
Executive Team AI Literacy Training
Our Executive Team AI Literacy Training equips senior leaders with the knowledge and confidence to make informed, strategic decisions about artificial intelligence. Designed specifically for executives, board members, and senior management, this program goes beyond technical basics to focus on the business, governance, and risk implications of AI.
Training highlights include:
Strategic AI Fundamentals – What leaders need to know about AI capabilities, limitations, and market impact.
Governance & Risk Oversight – Frameworks for managing AI risks, ensuring compliance, and maintaining accountability at the leadership level.
Regulatory & Ethical Landscape – Insight into emerging global AI regulations and ethical considerations for responsible adoption.
AI in Business Context – Industry-specific use cases that demonstrate how AI can drive growth, efficiency, and innovation.
Board & C-Suite Readiness – Preparing leadership to ask the right questions, set strategy, and communicate confidently with stakeholders.
By building AI literacy at the top, we empower executive teams to lead responsibly, seize opportunities, and guide their organizations through the AI-driven future.
AI Vendor Review
Looking to responsibly onboard an AI vendor? Let DrAI do it for you. Our AI Vendor Review services help organizations evaluate third-party AI providers to ensure their tools, platforms, and services meet your business, compliance, and ethical requirements. With many enterprises relying on external AI vendors, it’s critical to establish trust, mitigate risks, and align solutions with organizational standards.
Our review process includes:
Vendor Due Diligence – Assess vendor policies, governance frameworks, and track record for responsible AI practices.
Compliance & Regulatory Alignment – Verify that vendor solutions adhere to applicable laws, industry standards, and internal compliance requirements.
Technical & Risk Assessment – Evaluate model transparency, data handling, security, and bias mitigation practices.
Contract & SLA Review – Analyze agreements for liability, data rights, performance guarantees, and audit provisions.
Ongoing Monitoring – Develop processes for continuous oversight of vendor performance, compliance, and risk management.
By conducting rigorous AI vendor reviews, we help organizations reduce exposure, safeguard reputational trust, and select partners who support responsible and sustainable AI adoption.
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