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AI Governance

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100% Client Success

Since 1997, EWSolutions has delivered 155+ successful data management programs for Global 2000 companies and federal agencies, achieving proven, measurable results.

Trusted by Federal
Agencies & Defense

Trusted by U.S. federal agencies, we build mission-critical data governance programs where security, compliance, and reliability are non-negotiable.

Data Governance That
Enables AI Success

We transform inaccurate, unstructured data into a clean, unified foundation, ensuring your AI and analytics initiatives deliver real ROI.

Built for
Commercial ROI

We deliver measurable outcomes—reduced costs, stronger strategy—for clients from the Fortune 500 to the mid-market.

Personally Led
by Dr. David P. Marco

Guided by Dr. David Marco, the world's foremost authority on Data Governance, who has personally delivered 50+ successful enterprise projects.

We Know What Big
Consulting Firms Don't

While Big 4 consultancies name-drop data governance, while we wrote the books on it.

Ensure Responsible and Trusted AI

As AI becomes central to business, it introduces new, complex risks around compliance, ethics, security, and model transparency. Our AI Governance services provide the essential framework to manage these risks, ensuring your AI initiatives are both innovative and responsible.

We help you establish clear policies, monitoring processes, and controls for the entire AI model lifecycle. This enables you to deploy AI solutions that are fair, transparent, and fully compliant with evolving regulations, giving your organization the confidence to scale AI responsibly.

Testimonials

“David Marco and his company EWSolutions have consistently delivered successful Data Warehouse and Metadata Management implementations for several decades. Their unique blend of thought leadership and practical implementation is now leading the way in the rapidly evolving Data Governance arena. ASG has been very pleased with the results of combining EWSolutions’ methodologies and expertise with our world-leading metadata solutions”

"As the Chief Data and Security Officer at (UHG)’s Ingenix division, I engaged EWSolutions to assist and guide us through a transition period of collaboration of our massive data sets and provide insight into a foundational approach to deploying a Data Governance framework. Given the limited time and regulatory requirements required, I was fortunate to have direct access to EWSolutions’ president, David Marco. David showed his commitment and sent his top 3 professionals to assist us. In short order the EWSolutions team blended nicely with my staff and business partners. David and his team, in a professional and effective manner, embraced our challenges and quickly gained the confidence of the UHG business partners as knowledgeable and thought provoking professionals. He ensured all activities and recommendations for our foundational Master Data Management, Data Warehouse and Data Governance strategy were agile yet focused on our immediate and long term needs to ensure sustainability so the ARRA and strict regulatory standards could be met."

“David Marco is a real visionary in data management. At the same time, he and the consultants at EWSolutions understand the everyday challenge of managing the enterprise’s data responsibly. Most practitioners can do one but not the other. EWSolutions has the skill and savvy to do both, and they do it as well or better than anyone I’ve met.

EWSolutions kept our needs at the forefront of all of their efforts. They always worked in the spirit of partnership and were consistently flexible to the changing needs of our project.”

“Mayo Clinic’s Enterprise Data Trust is a collection of data from patient care, education, research, and administrative transactional systems, organized to support information retrieval, business intelligence, and high-level decision making. […] Mayo is already realizing palpable success from our cancer center projects, which is enabling analysis of clinical trial capture and accrual patterns, patient volumes, and clinical trial patient filtering, and will eventually optimize patient options for clinical trials. An infection analytics project has standardized the data definition and capture of infection and infection-related case data across the enterprise. The project has enabled a single standardized, enterprise-based reporting and analysis environment for infection data, and is currently seeking to further automate the identification of healthcare acquired infections. Other deliverables to data include referral analysis, balanced scorecard reporting, quality dashboards, and ad hoc reports across a wide spectrum of clinical practice, research, and administrative requests.” Quoted from “Jamia”, a scholarly journal of informatics in health and biomedicine.

View Case Study

Right from the start David Marco understood the business need and strategic technical challenges of our corporate initiative. At all times he kept our requirements in the forefront of his efforts. David worked tirelessly to fulfill his responsibility and exhibited a strong sense of accountability for the quality of his work.

The knowledge, breadth of skills, and versatility of EWSolutions and David Marco provided the program management, technical support and mentoring which the data warehouse team needed to successfully implement the merged organization’s first reporting data mart. Solving business needs is very important to us and EWSolutions’ methodology and expertise helped us to meet our stretch project goals ahead of schedule!”

Leadership

Dr. David P. Marco, PhD, Fellow IIM, CBIP, CDP

President, EWSolutions

Best known as the world’s foremost authority on data governance and data literacy, he is an internationally recognized expert in the fields of data management, advanced analytics, data warehouse, business intelligence, metadata management and data stewardship.

Unlock the Potential of Your Data with AI Governance

Maximize your ROI with our AI governance services. We transform your data management into a strategic asset by:

Automating oversight and enforcing compliance.
Improving data quality and mitigating risk.
Reducing manual effort.

Our state-of-the-art AI governance framework provides the clarity and control you need for smarter decision-making, increased operational efficiency, and a decisive competitive edge.

Establish a Robust Data Foundation

Lay the groundwork for effective AI governance by understanding the value and meaning of your enterprise data. Our customized methodology helps you establish a solid data foundation that supports your AI initiatives and ensures regulatory compliance.

Automate Critical Processes

Leverage AI to automate key data governance processes, enhancing efficiency and reducing manual effort. From data quality assurance to security monitoring, AI-powered automation streamlines your data governance framework, allowing you to focus on strategic decision-making.

Gain Competitive Advantage

Harness the power of AI and advanced analytics to derive new insights from your data assets. By unlocking hidden values in your data, you can enhance your brand, improve customer engagement, and gain a competitive edge against your competitors.

Harness the Potential of AI Governance

Transform how your organization manages data. Our AI governance solutions provide real-time oversight of how data is captured, stored, and used, ensuring:

Data privacy and strengthened security.
Automated compliance processes.
Effective risk management.

Using advanced AI, we enable strategic decision-making and meet global regulatory standards, all while fostering responsible AI development.

Since 1997, EWSolutions has delivered customized AI governance programs that turn data into a strategic asset and unlock new business opportunities.

EWSolutions: Pioneering Data Management Excellence Since 1997

Over 155 Successful Data Management Client Partners

EWSolutions’ award-winning data management programs focus on providing measurable ROI to your organization.

Industry’s Only Data Management Implementation Methodology

EWSolutions has a methodology and approach for building a sustainable enterprise data management program.

Full-Service, Vendor-Neutral Partner

We’re vendor-neutral, so our only focus is ensuring your success.

Serving Both Federal & Business Client Partners

We understand how to build world-class data management programs in the federal space.

AI Governance Services

Data Quality Management

We ensure your AI systems operate on high-quality data. Our solution uses machine learning to automatically detect, validate, and cleanse training data—addressing inaccuracies and unstructured inputs.

Data Security

We protect your AI assets with stringent security. Our approach mitigates legal risks and ensures compliance with global AI regulations (like the EU AI Act) through:
- Advanced encryption.
- Strict access controls.
- Continuous monitoring.

Data Lineage & Traceability

Map your information’s complete journey—from origin to usage—with advanced metadata tracking. This clear audit trail supports model accuracy and regulatory compliance by providing actionable insights and higher-quality data.

Data Monitoring & Auditing

We perform continuous monitoring and rigorous audits to detect discrepancies, gaps, and duplicates. Our AI data governance tools streamline processes, ensure reliable access to high-quality data, and boost AI model performance.

Data Compliance

Ensure your AI systems adhere to emerging regulations and responsible AI standards. Our compliance solutions mitigate legal risks and address global AI regulations (including the EU AI Act) through robust oversight and continuous monitoring.

Data Classification & Tagging

We use advanced AI algorithms to automate data classification and tagging. Our solution categorizes both structured and unstructured information, ensuring that AI-ready data is consistently labeled, protected, and accurate.

Democratizing Data Access

We democratize data access by breaking down silos. Our AI governance frameworks provide seamless access to reliable, high-quality information, fostering a culture of data-driven decision-making and innovation.

Training & Education

We deliver tailored training to address AI governance challenges. Our data scientists provide practical strategies to empower your teams, foster continuous learning, and improve your AI development lifecycle.

Frequently Asked Questions about AI Governance

What is AI governance?

AI governance is a framework of policies, processes, and oversight that ensures all artificial intelligence and AI technologies are developed and deployed safely, ethically, and responsibly. It’s the practical application of responsible AI practices, moving beyond basic data protection to manage the entire AI lifecycle. The goal is to build trustworthy AI that aligns with your business objectives and ethical guidelines, ensuring compliance with regulatory requirements.

Why is AI governance a critical business objective?

While AI innovation offers huge business value, it also creates significant AI risk. AI governance is critical because it:

Builds Trust: Demonstrating responsible AI innovation and transparent ethical practices builds deep trust among your customers, employees, and investors.
Prevents Crises: It directly mitigates the risk of unintended consequences, such as biased outcomes, generative AI “hallucinations,” or data leaks that can lead to public-relations crises.
Manages Risk: It provides a structure for managing AI risks proactively, rather than after a failure.
Enables Scaling: It gives business leaders the confidence to accelerate AI adoption by establishing clear rules for AI deployment and data usage.

What are the core components of an AI governance framework?

A mature governance structure is built on several key components, including:

A Governance Committee: A cross-functional AI governance team or ethics committee, formed from diverse stakeholders, to provide balanced oversight.
Clear Policies: Organization-wide governance policies that define core principles (like fairness, accountability, and transparency) and cover the appropriate use of AI tools, data handling, and AI policy management.
AI Lifecycle Management: Procedures to track, audit, and validate AI models and AI agents throughout their entire lifecycle, from design and training to AI deployment and ongoing monitoring.
Data Validation: Rigorous processes to ensure the high-quality, secure, and unbiased data required to train trusted AI systems.

What is AI risk management, and how does it work?

AI risk management is a specific risk management framework designed to identify, assess, and manage risk unique to AI implementations. While your current risk management practices might cover IT security, an AI risk management framework addresses new, complex threats such as:

Algorithmic Bias: The risk that an AI model produces discriminatory or unfair outcomes.
Privacy & Security: The risk of data leaks or privacy breaches from how AI technologies (especially generative AI) process data.
Third-Party Risks: The risks introduced by using external AI solutions or vendor models.
Operational Failures: Establishing protocols for managing failures in live AI systems.

What is the role of an AI governance consulting service?

AI governance consulting provides the deep industry and domain expertise to build and implement this entire governance structure. Organizations often hire consultants to:

Build the Strategy: Align the AI governance strategy with broader business strategies and business objectives.
Identify Gaps: Conduct an AI risk assessment to identify gaps in your existing AI practices and policies.
Ensure Compliance: Help navigate complex regulatory requirements like the EU AI Act, GDPR, and CCPA.
Create the Framework: Design the comprehensive AI governance framework, help establish the cross-functional AI governance team, and define core principles like fairness, accountability, and transparency.
Foster AI Literacy: Create training programs to foster a culture of responsible AI use and ensure employees understand the new governance policies.

How does a data governance program deliver tangible business value?

A data governance program delivers tangible value by transforming data into a reliable, strategic asset. This trust is the foundation for enhanced decision-making, allowing leaders to make faster, more confident strategic and operational decisions.

Beyond just better decisions, the business value is clear in several key areas:

Risk Reduction & Compliance: The most immediate ROI often comes from compliance. A consultant helps you map the complex landscape of regulatory requirements by building robust frameworks for data security and privacy that meet standards like GDPR and HIPAA. This involves understanding the origin, sensitivity, and lifecycle of all data and establishing rules for classifying data.
Operational Efficiency: Data governance boosts operational efficiency by creating clear policies and automating processes. Consultants guide the implementation of data governance tools—such as cloud-native data governance platforms and data catalogs—which enable organizations to automatically discover and classify data. This leads to significant enhancements in operational efficiency.
Data Trust & Quality: A core component is implementing Master Data Management (MDM), which helps organizations improve their decision-making processes by providing high-quality data. The governance framework outlines testing, auditing, and record-keeping procedures, and regular audits can help verify compliance and quality.
Cultural Adoption: Data governance is an ongoing investment, not a project, and requires collaboration among various stakeholders. A consultant’s key role is to foster a data-driven culture by providing training and simplifying the data governance process to make it approachable.

Insights for Effective Data Management

AI Governance Frameworks: What They Are and How to Use Them

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November 24, 2025

AI Hallucination: Risks & Mitigation for Enterprises

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AI Impact Assessment: A Strategic Guide to Responsible AI Deployment

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EWSolutions has over 25 years of experience consulting with enterprise and government agencies at scale.