Modern Data and AI Governance
Data and AI governance is becoming more critical, driven by rising data volumes, increasingly distributed environments, expanding regulations, and growing demands for transparency. Organizations are expected to manage data responsibly while enabling innovation and reducing risk. Effective governance improves data quality, builds organizational knowledge, and ensures data supports operations, analytics, and AI. PCG helps organizations align governance strategies to their business priorities—enabling smarter decisions, strengthening compliance, and building trust across teams, partners, and regulators.
Navigating Data and AI Governance with Confidence
CONSULTING • EXPERTISE • SOLUTIONS • TOOLS
Organizations are under increasing pressure to govern data and AI responsibly. Global regulations like the EU Data Act, the EU AI Act, U.S. state laws, and federal executive orders are transforming how information is managed. Industry-specific frameworks such as HIPAA, GLBA, FERPA, and ISO standards add another layer of accountability—especially for organizations operating in regulated sectors.
But compliance isn’t the only driver. Many organizations are also responding to internal risk, fragmented systems, or the growing demand for transparency and trust. Governance today must go beyond basic access and quality—it must also address how data supports decision-making, powers AI systems, and aligns with ethical and operational goals.
To meet these challenges, organizations need a clear understanding of what data they have, how it’s being used, and who is responsible for it—across both traditional systems and emerging AI applications. Governance is no longer just about control; it’s about enabling responsible innovation, reducing risk, and creating a solid foundation for growth.
PCG’s Data and AI Governance Services provide a practical, scalable approach tailored to your organization’s unique needs. Whether you’re responding to regulatory pressure, addressing business risk, or proactively maturing your data strategy, we help you align governance with compliance and long-term value—so you can move forward with confidence.
HOW CAN PROJECT CONSULTING GROUP HELP?
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From foundational governance design to oversight of modern AI systems, PCG helps organizations manage data and AI with confidence, clarity, and compliance.
For over 25 years, we’ve supported clients in building and evolving governance programs—serving as outsourced leaders, designing enterprise frameworks, embedding policies and controls, and closing capability gaps.
Whether you're addressing regulatory requirements or adopting industry best practices, PCG brings practical expertise and strategic alignment. We connect governance strategy, structure, and systems to deliver measurable outcomes.
Our modular, risk-based approach scales with your needs—whether you require a rapid assessment, targeted advisory support, or full program design and implementation. We offer:
✔ 25+ years of experience driving adoption and alignment across governance programs
✔ Approach grounded in DAMA-DMBOK, NIST AI RMF, Gartner, and regulatory standards
✔ Expert program and project leadership for complex data and AI governance initiatives
✔ Cross-industry experience to deliver right-sized, proven, and scalable solutions
✔ Flexible delivery models: solution-based, project-based, and outsourced support
✔ Risk-based prioritization to reduce exposure and focus on high-impact improvements
✔ Access to Prividia© for planning, tracking, and managing governance program activities
✔ Extensive library of policy templates, frameworks, and governance accelerators
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Inform & Advise
Coach the organization and the employees who carry out personal information processing of their GDPR obligations.
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Monitor Compliance
Track compliance gaps and manage associated risks. Prioritize remediation activities including awareness campaigns, training, and implementations.
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Oversee DPIAs
Provide advice where requested regarding data protection impact assessments and monitor performance.
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Regulator Engagement
Act as the point of contact for the supervisory authority as needed.
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Keep scrolling to learn more about the components of Data and AI Governance
800-731-7153
Data and AI governance is becoming more critical, driven by rising data volumes, increasingly distributed environments, expanding regulations, and growing demands for transparency. Organizations are expected to manage data responsibly while enabling innovation and reducing risk. Effective governance improves data quality, builds organizational knowledge, and ensures data supports operations, analytics, and AI. PCG helps organizations align governance strategies to their business priorities—enabling smarter decisions, strengthening compliance, and building trust across teams, partners, and regulators.
Modern Data and AI Governance
The global threat environment has intensified resulting in business continuity, disaster recovery, crisis management, and emergency response becoming an area of focus for board of directors, executive leaders, clients, customers, and regulators. This increased focus has resulted in greater maturity and heightened expectations around response, recovery, and communication capabilities.
Business continuity management identifies these potential threats and impacts to your business, creates the organizational resilience and recovery capabilities for an appropriate level of response, and safeguards the interests of your customers, employees, reputation, and value. Potential threats include items such as natural disasters, technological failures, data breaches, human error, fire, terrorism, lawsuits, misconduct, acts of violence, labor action, or drop in share price.
There are multiple components encompassing a robust business continuity program, in addition to several ancillary items such as event/incident management, disaster recovery, crisis management, and emergency response. The terminology used within industries, by regulations, and across vendors is inconsistent at best, so we recommend focusing on the components rather than debating the nomenclature. Below are the components.
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EXPERTISE • CONSULTING • SOLUTIONS • TOOLS
CEO of a Global Manufacturing Company
PCG has done an excellent job at leading our multi-year project.
Manager at a Government Agency
PCG is very professional and has a broad range of abilities. They took great care to identify the help needed.
PCG did a tremendous job with our project. They built a strong rapport with the business owners, which helped create trust and confidence.
Manager at a Multinational Bank and Financial Services Company
- VP of an International Agricultural and Food Company
I wanted to reach out to PCG and say thank you for a job well done!
VP of Fortune 500 Bank
I can’t express how much I appreciate the leadership and guidance PCG provided to our program.
PCG was excellent in defining and implementing the framework that has helped provide significantly improved governance and transparency.
Director of Mid-Market National Retailer
Manager at a Fortune 500 Financial Services Company
I want to make sure to recognize the great work PCG did on the project, you have certainly surpassed my expectations.
Director at a National Insurance Corporation
You have no idea how nice it is to hand off something like this to someone you know will stay on top of it and communicate progress. Great job.
PCG has been a great partner to us and if we need consulting help, we reach out. Thanks!
National Health Insurance Company
Project Consulting Group
Governance Framework Design
A strong data and AI governance framework defines the structure, accountability, and decision-making processes needed to manage risk, enable responsible innovation, and meet compliance demands. Whether formalizing governance for the first time or evolving an existing model, a clear model helps align policies, roles, and tools across the organization for consistency and oversight.
Data Ownership and Stewardship
Clear data ownership and stewardship roles are critical for enforcing policies, managing quality, and ensuring accountability. Many organizations struggle with unclear responsibilities, especially across departments and hybrid environments. Defining and operationalizing these roles improves transparency, decision-making, and day-to-day governance execution.
AI and Algorithmic Governance
As AI adoption increases, organizations must manage risks related to bias, explainability, and model performance. AI governance includes documenting inputs, monitoring outcomes, and aligning with ethical and regulatory requirements. Consulting support helps establish repeatable, compliant processes for managing AI across development and deployment cycles.
Regulatory and Risk Alignment
Governance programs must address growing regulatory pressure from laws like the EU AI Act, GDPR, HIPAA, and state-level data laws. Organizations often seek consulting support to close gaps, prepare for audits, and implement sustainable risk management practices across both data and AI. A compliance-aware approach reduces exposure while enabling agility.
Policy and Controls Development
Many organizations lack formal, enforceable policies for data and AI use. Governance consulting helps create practical policies covering data classification, lifecycle management, access, and ethical AI use. Aligning these policies with operations and tools ensures they’re implemented consistently across the business, not just written.
Data Quality and Integrity
Poor data quality undermines trust in reports, analytics, and AI outputs. A governance program should define quality standards, identify root causes, and establish data validation and monitoring processes. Organizations often need help standing up quality metrics and stewardship workflows that improve business confidence in critical data assets.
Catalog, Metadata, Lineage Strategy
The data catalog, along with metadata and lineage, provides critical visibility into where data is, where it comes from, how it changes, and how it’s used. Organizations often need help defining strategy, improving data traceability, and implementing modern catalog tools. A strong approach enhances discovery, supports compliance, and improves trust in both data and AI systems.
Access and Usage Governance
Managing who can access governed/critical data elements and for what purpose is key to compliance and risk reduction. Governance programs must include an access management strategy, usage monitoring, and controls for sensitive and high-risk data, including AI training sets. Consulting often focuses on improving access models and applying usage policies at scale.
Governance Program Launch & Scaling
Launching or scaling a governance program requires the right mix of strategy, technology, and change management. Organizations seek help designing realistic roadmaps, gaining stakeholder alignment, and integrating governance into daily business and tech operations. Consultants help bridge the gap between planning and execution across teams and tools.
Top Talent
Experienced leaders and subject matter experts in data and AI governance.
Tailored Solutions
Flexible services built to match your unique needs and challenges.
Governance that aligns people, processes, and technology effectively.
Balanced Execution
"PCG did a tremendous job. They built a strong rapport with the business, operations, and technology stakeholders, which helped create trust and confidence."
Project Consulting Group
Other Services
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CAPABILITIES
Organizations are under increasing pressure to govern data and AI responsibly. Global regulations like the EU Data Act, the EU AI Act, U.S. state laws, and federal executive orders are transforming how information is managed. Industry-specific frameworks such as HIPAA, GLBA, FERPA, and ISO standards add another layer of accountability—especially for organizations operating in regulated sectors.
But compliance isn’t the only driver. Many organizations are also responding to internal risk, fragmented systems, or the growing demand for transparency and trust. Governance today must go beyond basic access and quality—it must also address how data supports decision-making, powers AI systems, and aligns with ethical and operational goals.
To meet these challenges, organizations need a clear understanding of what data they have, how it’s being used, and who is responsible for it—across both traditional systems and emerging AI applications. Governance is no longer just about control; it’s about enabling responsible innovation, reducing risk, and creating a solid foundation for growth.
PCG’s Data and AI Governance Services provide a practical, scalable approach tailored to your organization’s unique needs. Whether you’re responding to regulatory pressure, addressing business risk, or proactively maturing your data strategy, we help you align governance with compliance and long-term value—so you can move forward with confidence.
From GDPR and CCPA to HIPAA, emerging AI laws, NIST, FTC privacy enforcement, and beyond—PCG has you covered. We help companies assess, strengthen, and adapt their data privacy and protection programs to stay ahead of evolving regulations.
Our component-centered strategy and deep regulatory expertise enable us to support businesses of any size and complexity. Whether you need assessments, analysis, or full program implementation, we offer:
✔ 25 years of experience driving organizational adoption
✔ IAPP and Gartner-backed research and industry insights
✔ Expert level program and project management
✔ Cross-industry expertise for right sizing and best practices
✔ Solution-based, project-based, and outsourced services
✔ Risk-based prioritization for efficient risk reductio
✔ Access to Prividia© Data Privacy Program Management Tool
✔ Extensive repository of policy templates
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