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Trusted AI Governance Program

Build AI your organization can confidently stand behind.

Artificial intelligence creates new opportunities for innovation, but it also introduces new responsibilities.

As organizations integrate AI into content creation, customer service, digital visibility, decision support, and operational workflows, they need clear policies, consistent standards, and governance practices that protect privacy, accessibility, accuracy, security, and public trust.

Kanopi’s Trusted AI Governance Program helps organizations establish practical governance that enables innovation while ensuring AI is used responsibly, transparently, and consistently.

Build Your Responsible AI Foundation

Responsible AI Doesn’t Happen by Accident

Without clear governance, employees and teams are left to make difficult decisions independently.

They may not know:

  • Which AI tools are approved
  • What information can be shared
  • When AI is appropriate
  • When human review is required
  • How AI-generated content should be evaluated
  • How accessibility and inclusion are maintained
  • Who is accountable for AI-assisted work
  • How vendors should be assessed
  • How incidents should be reported
  • How AI visibility work should be governed

Strong governance gives employees practical direction, gives leadership greater confidence, and creates room for responsible experimentation.

Governance That Enables Responsible Innovation

Governance should help people make better decisions—not create unnecessary obstacles.

Kanopi helps organizations develop frameworks that are:

  • Practical
  • Proportionate to risk
  • Accessible and inclusive
  • Aligned with organizational values
  • Clear about accountability
  • Connected to everyday workflows
  • Designed to evolve over time

The result is not simply a collection of policies. It is an operating approach your teams can apply.

What’s Included

The Trusted AI Governance Program combines governance strategy, policy development, accessibility guidance, content standards, organizational oversight, and implementation planning.

Responsible AI Framework

Develop guiding principles that define how AI aligns with your organization’s mission, values, obligations, and responsibilities.

Principles may address:

Human Oversight

AI supports human expertise and judgment without replacing human accountability.

Transparency

People should understand when and how AI materially affects content, services, experiences, or decisions.

Accountability

Every AI use case, system, and workflow should have an identifiable organizational owner.

Accuracy and Evidence

AI-generated and AI-assisted work should be reviewed according to its audience, risk, and potential impact.

Privacy and Security

Personal, confidential, organizational, and regulated information should be protected according to approved standards.

Accessibility and Inclusion

AI-powered content, workflows, and experiences should remain accessible and avoid introducing new barriers.

Fairness

AI uses should be evaluated for harmful bias, exclusion, or inconsistent treatment.

Appropriate Use

AI should be used only where it creates meaningful value and where its risks can be managed.

Sustainability

AI solutions should be maintainable, monitorable, and supported over time.

Governance Policies and Standards

Translate responsible AI principles into practical organizational guidance.

Policies may cover:

  • Acceptable AI use
  • Restricted and prohibited uses
  • Approved tools
  • Human-review requirements
  • AI-generated content
  • Data handling
  • Privacy and security
  • Vendor evaluation
  • Procurement
  • Model and system selection
  • Accessibility
  • Content quality
  • Incident response

Guidance is tailored to the organization’s teams, workflows, risk profile, and existing policies.

AI-Generated Content Standards

Establish clear expectations for AI-assisted content.

Standards may address:

  • Required human review
  • Accuracy and fact-checking
  • Sourcing
  • Authorship and attribution
  • Accessibility
  • Inclusive language
  • Editorial quality
  • Brand alignment
  • Disclosure
  • Recordkeeping
  • Approval and escalation

These standards help content, marketing, communications, and digital teams use AI without weakening organizational credibility.

Data-Handling Guidance

Help employees understand what information can—and cannot—be shared with AI tools.

Guidance may address:

  • Personal information
  • Confidential information
  • Regulated information
  • Proprietary organizational data
  • Client or constituent information
  • Approved storage
  • Retention
  • Vendor data use
  • Model-training practices
  • Access controls

Vendor and Tool Evaluation

Create a consistent process for evaluating AI products and vendors.

Evaluation criteria may include:

  • Privacy
  • Security
  • Data retention
  • Accessibility
  • Reliability
  • Transparency
  • Contractual terms
  • Integration
  • Monitoring
  • Organizational support
  • Long-term maintainability
  • Exit strategy

Accessibility, Inclusion, and Content Quality

Develop standards that help ensure AI-generated and AI-assisted experiences remain accessible, inclusive, accurate, and aligned with organizational expectations.

Areas of focus may include:

  • Accessibility reviews
  • Semantic structure
  • Alternative-text review
  • Plain language
  • Inclusive language
  • Bias and representation
  • Editorial quality
  • Human-review workflows
  • Equivalent non-AI access paths
  • Escalation to accessibility specialists

AI-assisted accessibility review can support quality assurance, but it does not replace manual testing, assistive-technology testing, or expert evaluation.

Governance for AI Visibility

When Applicable

An AI Visibility Assessment may reveal inaccurate descriptions, inconsistent content, weak authority signals, unclear ownership, or technical changes that span several teams.

The Trusted AI Governance Program can help your organization establish:

  • Ownership of TAVI findings
  • Responsibility for each TAVI pillar
  • A review cadence for TAVI Monitor results
  • Approval practices for public-content changes
  • Structured-data governance
  • Accessibility requirements
  • Standards for authorship and expertise signals
  • Ethical authority-building practices
  • Escalation for inaccurate AI descriptions
  • Leadership reporting

Content and Authority Integrity

Efforts to improve AI visibility should strengthen genuine expertise and credible authority.

Governance can help ensure that visibility work:

  • Uses accurate, supportable claims
  • Represents experts and authors truthfully
  • Avoids misleading structured data
  • Avoids fabricated reviews, citations, or endorsements
  • Maintains accessibility and editorial quality
  • Aligns with communications and brand standards
  • Respects organizational values

TAVI measures how external AI platforms perceive and recommend the organization. It is not a governance-maturity score.

Governance Operating Model

Define how governance will work after policies are approved.

The operating model may include:

  • Executive sponsorship
  • Governance committee or working group
  • Department-level owners
  • Roles and responsibilities
  • Use-case intake
  • Risk classification
  • Approval workflows
  • Accessibility review
  • Privacy and security review
  • Escalation procedures
  • Incident response
  • Leadership reporting
  • Periodic policy review
  • Continuous improvement

The goal is to give employees a clear path for proposing, evaluating, approving, monitoring, and improving AI uses.

How the Engagement Works

1. Understand the Current State

Review existing AI use, tools, policies, risks, accessibility requirements, and organizational priorities.

2. Identify Governance Gaps

Determine where employees and leaders lack clear guidance, ownership, review processes, or decision rights.

3. Develop the Framework

Create responsible AI principles aligned with your organization’s mission and obligations.

4. Build Policies and Standards

Translate the framework into practical guidance for tools, data, content, accessibility, vendors, human review, and incidents.

5. Design the Operating Model

Define roles, responsibilities, approval paths, escalation, reporting, and ongoing review.

6. Align Leadership

Present the framework and implementation priorities so leaders can approve and support the governance approach.

What You Receive

Depending on the organization’s scope and priorities, deliverables may include:

  • Executive Summary
  • Current-State and Governance-Gap Analysis
  • Responsible AI Framework
  • Governance Policy Package
  • Acceptable-Use Guidance
  • Data-Handling Standards
  • Vendor-Evaluation Framework
  • Accessibility and Inclusion Standards
  • Content-Quality Standards
  • AI Visibility Governance Addendum, when applicable
  • Governance Operating Model
  • Implementation Roadmap
  • Executive Presentation

Who It’s For

The Trusted AI Governance Program is ideal for organizations that:

  • Are adopting AI across multiple departments
  • Need formal AI policies
  • Operate in regulated or high-trust environments
  • Have accessibility obligations
  • Manage significant public-facing content
  • Want consistent standards
  • Need leadership confidence
  • Have employees using unapproved tools
  • Are implementing public-facing AI experiences
  • Have completed a Trusted AI Roadmap
  • Have established a TAVI baseline and need clear ownership of the findings
  • Want governance that evolves alongside adoption

The program is particularly valuable for higher education institutions, healthcare organizations, nonprofits, and cultural organizations where accountability and public service are central to the mission.

Why Kanopi

Governance should support innovation, not prevent it.

Kanopi combines expertise in:

  • AI strategy
  • Accessibility
  • Governance
  • Content quality
  • Drupal
  • WordPress
  • Digital strategy
  • Long-term support

We understand the operational realities of mission-driven organizations and the importance of balancing useful experimentation with accessibility, privacy, accuracy, security, and trust.

Rather than producing policies that sit on a shelf, we help organizations establish governance practices their teams can apply every day.

Where This Fits

The Trusted AI Governance Program may:

  • Follow a Trusted AI Roadmap
  • Accompany an AI implementation
  • Support a Trusted AI Adoption Program
  • Formalize practices as AI use expands
  • Establish ownership for TAVI findings
  • Prepare an organization for Managed AI Services

Some organizations begin governance before broad AI adoption. Others introduce it as existing initiatives mature.

Related Trusted AI Services include:

  • AI Visibility Assessment
  • TAVI Monitor
  • Trusted AI Roadmap
  • Trusted AI Adoption Program
  • AI Solutions and Delivery
  • Managed AI Services

Frequently Asked Questions

Do we need to be using AI already?

No.

Some organizations establish governance before broad adoption. Others introduce governance after employees and teams have already begun experimenting.

Does this include accessibility?

Yes.

Accessibility and inclusion are integrated throughout the engagement because responsible AI must remain usable and equitable.

Will this help us create AI policies?

Yes.

Developing practical policies and standards is one of the program’s primary outcomes.

Can you review our existing policies?

Yes.

The engagement can evaluate existing privacy, security, accessibility, content, procurement, and technology policies to identify where AI-specific additions or revisions are needed.

No.

Kanopi provides governance, accessibility, content, operational, and technology guidance.

Your organization’s legal counsel should review policies and requirements that carry legal or regulatory implications.

Will governance slow down innovation?

Well-designed governance should make responsible innovation easier.

Clear expectations, review paths, and decision rights help employees move forward without having to resolve every risk question independently.

Can governance evolve over time?

Yes.

AI technologies, organizational practices, risks, and requirements will continue to change. Governance should be reviewed and refined as adoption grows.

Can this help us manage TAVI findings?

Yes.

The program can define ownership, approval processes, integrity standards, reporting, and escalation for AI visibility work.

The program does not calculate the TAVI score itself.

Ready to Build AI You Can Stand Behind?

Responsible AI requires more than good intentions.

It requires clear policies, thoughtful governance, accessible practices, and practical guidance that enables innovation while protecting the people you serve.

The Trusted AI Governance Program helps your organization establish a foundation for trustworthy, accessible, and sustainable AI adoption.