AI Governance

Turning AI Opportunity Into Responsible Growth

AI can create significant value—but it also introduces new risks, decisions, and responsibilities. Intrinsic helps organizations establish the governance, policies, and controls needed to use AI confidently and effectively within their business environment.

The Governance Foundation

From Individual Use to Organizational Control

AI adoption can begin in many places—an employee using a public AI service, a new capability appearing within an existing application, or a department introducing a specialized platform.

Without a defined governance structure, these activities can develop independently, creating limited visibility into the applications being used, information being accessed, and controls being applied.

Intrinsic helps organizations establish a common framework for AI use, bringing together policy, ownership, technical controls, documentation, and oversight.

AI Visibility

Understanding Where AI Is Being Used

Effective governance begins with visibility.

Intrinsic helps organizations develop a clearer view of the AI capabilities operating across the business—including approved platforms, AI functionality embedded within existing applications, third-party services, integrations, users, and information access.

This provides a basis for identifying areas requiring additional review, establishing appropriate controls, and maintaining a more complete view as AI use expands.

AI Inventory

Scanning
Approved platforms6
Embedded AI features14
Third-party services10
Integrations11
Users with access128
Needs review5
Items flagged for additional review

Six Questions Governance Should Answer

A Defined Framework
for AI Use

A common framework brings together policy, ownership, technical controls, documentation, and oversight—answering the questions that determine how AI is selected, used, and managed.

What can we use?

Define approved AI platforms, applications, capabilities, and integrations.

Who can use it?

Establish appropriate users, roles, authentication, permissions, and privileged access.

What can it access?

Determine how AI can interact with business information, sensitive data, documents, applications, and connected systems.

What can we use it for?

Define acceptable use, approved business purposes, limitations, and activities requiring additional review.

What controls apply?

Establish security, privacy, information handling, retention, and other organizational requirements appropriate to the use.

Who is accountable?

Define ownership for approval, administration, documentation, monitoring, review, and escalation.

AI Risk & Use-Case Review

Applying the Right Controls to the Right Use

Different uses of AI introduce different considerations.

An employee using an approved productivity assistant to summarize internal information does not present the same requirements as an AI-enabled workflow processing sensitive data, connecting to business systems, or supporting a consequential business process.

The objective is to determine the level of control and oversight appropriate to the use case rather than applying the same requirements to every AI capability.

Third-party AI services are considered as part of this process, including how organizational information is handled, what systems are connected, and what access the application requires.

Intrinsic helps organizations evaluate AI use cases in context, considering:

  1. 01Business purpose
  2. 02Information involved
  3. 03Users and access
  4. 04System integrations
  5. 05Third-party platforms
  6. 06Security exposure
  7. 07Potential impact

Governance & Compliance Alignment

Connecting AI to Existing Organizational Requirements

AI introduces new capabilities, but it does not replace existing responsibilities for security, privacy, information management, risk, and regulatory compliance.

Intrinsic helps organizations incorporate AI into their broader governance structure by aligning AI policies, technical controls, documentation, and oversight with existing organizational requirements.

Where appropriate, AI governance can also be informed by established and emerging frameworks, including the NIST AI Risk Management Framework, while remaining aligned with the organization's broader security and compliance program.

Security

AI policies and technical controls aligned with existing security requirements.

Privacy & Information

Information handling, retention, and privacy obligations applied to AI use.

Risk Management

Informed by established frameworks, including the NIST AI Risk Management Framework.

Regulatory Compliance

Documentation and oversight connected to the broader compliance program.

Ongoing Governance

Maintaining Control as AI Evolves

AI governance needs to evolve alongside the technology.

New applications, embedded AI capabilities, integrations, use cases, and regulatory expectations can change the organization's risk profile and introduce new requirements.

Intrinsic provides ongoing review to help organizations evaluate these changes, maintain policies and controls, document material decisions, and identify matters requiring technical or leadership attention.

Take the Next Step

Enable AI. Maintain Control.

A defined governance structure allows organizations to pursue appropriate uses of AI while maintaining visibility into information, access, security, risk, and responsibility.