AI GOVERNANCE
AI Governance Consulting for Secure, Responsible AI
AI can create tremendous opportunities for your organization, but unmanaged AI can introduce security, privacy, compliance and operational risks. WS Tech Consulting helps organizations establish practical AI governance frameworks that allow employees to use AI productively while protecting the business.
WHAT IS AI GOVERNANCE?
A Framework for Managing AI Across Your Business
AI governance is the framework of policies, processes, controls and responsibilities an organization uses to manage how artificial intelligence is selected, implemented and used.
Effective AI governance helps businesses balance the opportunities created by AI with considerations around security, privacy, compliance, accuracy, accountability and business risk.
A strong governance program does not have to prevent employees from using AI. Instead, it provides practical guardrails that help organizations adopt AI responsibly while maintaining appropriate oversight and control.
01
Policies
Establish clear expectations for how employees and business teams can use AI tools.
02
Risk Management
Identify and manage security, privacy, compliance, vendor and operational risks associated with AI.
03
Oversight
Define accountability, human oversight and controls for AI systems and business processes.
WHY AI GOVERNANCE MATTERS
AI Adoption Without Governance Creates Unnecessary Risk
Employees are already using AI tools to write content, analyze information, summarize documents, conduct research and improve productivity. The question for organizations is no longer whether employees will use AI—it is how that use should be managed.
A practical AI governance program establishes clear expectations for employees while helping leadership understand the organization’s AI-related risks and responsibilities.
Protect
Protect sensitive information, intellectual property, customer data and organizational systems from inappropriate AI use.
Enable
Give employees clear guidance so they can use approved AI tools confidently and productively.
Control
Establish accountability, oversight and practical controls around AI tools, data and business processes.
AI GOVERNANCE FRAMEWORK
Build a Governance Framework Around Your Organization
AI governance should reflect your organization’s size, industry, risk profile, technology environment and business objectives. There is no one-size-fits-all AI policy.
AI Policies
- Acceptable AI use
- Prohibited uses
- Approved AI tools
- Employee responsibilities
- Management oversight
Data & Privacy
- Sensitive information
- Personally identifiable information
- Confidential business data
- Intellectual property
- Data retention
Security & Risk
- AI vendor security
- Access controls
- Third-party risk
- Security monitoring
- Incident response
AI ACCEPTABLE USE
Give Employees Clear Rules for Using AI
Employees shouldn’t have to guess whether they can use an AI tool or what information they can provide to it.
An AI acceptable use policy can provide straightforward guidance covering approved tools, prohibited information, human oversight, verification and accountability.
Policy Areas
- Which AI tools employees may use
- What information may be entered into AI tools
- How AI-generated information should be reviewed
- When human approval is required
- How AI use should be documented
- How AI-related incidents should be reported
DATA PROTECTION
Keep Sensitive Business Information Out of the Wrong AI Systems
One of the most important parts of AI governance is understanding what information can safely be processed by AI systems and what information requires additional controls.
Sensitive Data
Identify information that requires additional protection before being entered into AI systems.
Data Classification
Connect AI usage guidance to your organization’s existing data classification and security practices.
Privacy
Consider privacy obligations and how AI tools handle information provided by your organization.
AI VENDOR RISK
Know What You’re Connecting to Your Business
Every AI platform introduces another technology relationship into your environment. Organizations should understand how those platforms handle data, security, access and privacy.
Vendor Evaluation Areas
- Security controls
- Data handling
- Privacy practices
- Access management
- Data retention
- Third-party integrations
- Contractual considerations
- Business continuity
AI GOVERNANCE VS. AI COMPLIANCE
Governance Is Broader Than Compliance
AI governance and AI compliance are related, but they are not the same. AI compliance focuses on meeting applicable laws, regulations, contractual requirements and organizational obligations.
AI governance is broader. It establishes how an organization manages AI across its lifecycle, including policies, risk management, approved tools, employee responsibilities, security controls, human oversight and monitoring.
AI Governance Includes
- AI policies and procedures
- Risk assessment
- Security controls
- Data protection
- Vendor evaluation
- Human oversight
- Employee responsibilities
- Monitoring and review
RESPONSIBLE AI
AI Should Support People—Not Replace Accountability
AI-generated information can be useful, but organizations should determine where human review, validation and decision-making remain necessary.
Human Review
Determine which AI-generated outputs require employee review before they are used, shared or acted upon.
Accuracy
Establish expectations for verifying AI-generated information, especially when accuracy is important to business decisions.
Accountability
Define who remains responsible for decisions and outcomes when AI is used as part of a business process.
AI GOVERNANCE FOR BUSINESSES
AI Governance Doesn’t Have to Be Complicated
Small and mid-sized businesses may not have dedicated AI governance teams or extensive compliance departments. That does not mean they should operate without clear AI policies and controls.
A practical AI governance program can be scaled to the organization’s size, technology environment, risk profile and business needs.
A Practical Starting Point
- Identify current AI usage
- Inventory approved AI tools
- Define acceptable AI use
- Protect sensitive information
- Evaluate AI vendors
- Establish human oversight
- Assign governance responsibilities
- Review the program regularly
IMPLEMENTING AI GOVERNANCE
How to Implement an AI Governance Program
Successful AI governance starts with understanding how your organization uses AI today and establishing practical controls that can evolve as your AI adoption grows.
STEP 01
Assess
Identify current AI tools, use cases, business processes, data and potential risks.
STEP 02
Define
Create policies, responsibilities, risk controls and guidance for responsible AI use.
STEP 03
Implement
Put governance controls into practice through technology, employee guidance and defined oversight.
STEP 04
Educate
Give employees practical guidance so they understand how to use AI safely and responsibly.
STEP 05
Monitor
Review AI usage, emerging risks, vendor changes and the effectiveness of existing controls.
STEP 06
Improve
Update policies and controls as your organization adopts new AI tools, processes and capabilities.
WHAT YOU RECEIVE
A Practical AI Governance Program
Depending on your organization’s needs, an AI governance engagement can include:
- AI governance assessment
- AI acceptable use policy
- AI tool evaluation criteria
- AI risk identification
- Data protection guidance
- AI vendor risk considerations
- Employee AI guidance
- Human oversight recommendations
- AI security considerations
- Governance roles and responsibilities
- AI implementation controls
- Ongoing governance recommendations
BEFORE YOU IMPLEMENT AI
Understand Your AI Readiness
Governance is only one part of a successful AI program. Organizations should also understand whether their technology, data, processes and people are ready to support AI adoption.
BUILD THE RIGHT AI FOUNDATION
Governance Should Support Your AI Strategy
AI governance provides the guardrails, while AI strategy establishes where your organization should focus its AI investments and opportunities.
PUT AI TO WORK
Turn Governance Into Responsible AI Action
Once the right governance framework is established, organizations can confidently identify and implement AI automation opportunities that improve productivity and business operations.
READY TO GOVERN AI?
Enable AI Innovation Without Losing Control
Your employees should be able to take advantage of AI without your organization losing control of its data, security or business processes. WS Tech Consulting can help you build a practical governance framework that supports responsible AI adoption.