Visibility
AI Visibility
Establish visibility into AI applications and workforce usage as a foundation for enterprise AI governance.
Explore AI Visibility →Enterprise AI Governance
Enterprise AI Governance for Responsible AI Adoption
CharterPoint helps organizations establish visibility, policies, controls, and accountability around how artificial intelligence is used across the enterprise.
Enterprise AI Governance
What is enterprise AI governance?
Enterprise AI governance is the framework organizations use to manage how artificial intelligence is adopted, accessed, and used across the workforce. It brings together policies, visibility, controls, oversight, and accountability to help organizations adopt AI while maintaining appropriate governance.
As employees increasingly use generative AI and other AI applications for research, software development, writing, analysis, and everyday work, organizations need a practical way to establish governance without unnecessarily preventing useful AI adoption.
CharterPoint provides a governance layer that helps organizations understand AI usage, inspect interactions, apply organizational policies, maintain audit trails, and capture approved AI interactions as organizational knowledge.
The Governance Challenge
AI adoption creates new governance requirements
Enterprise AI adoption can introduce new questions around visibility, acceptable use, sensitive information, accountability, and organizational control. Traditional technology governance approaches may not provide the visibility needed for rapidly changing AI usage.
AI Usage Visibility
Organizations need to understand which AI applications are being used across the workforce and establish visibility into AI activity.
Consistent AI Policies
Organizations need clear policies that define how employees can use AI with company information, intellectual property, source code, and other sensitive content.
Responsible AI Controls
Governance requires practical controls that can respond to AI interactions according to organizational policies and requirements.
Accountability and Auditability
Organizations need appropriate records of AI activity and governance actions to support oversight, accountability, and audit readiness.
CharterPoint Governance Model
From AI visibility to governed enterprise adoption
CharterPoint connects visibility, inspection, policy enforcement, auditability, and organizational knowledge into a practical enterprise AI governance workflow.
1
Detect
Identify AI applications and workforce AI usage so organizations can establish visibility into how AI is being adopted.
2
Inspect
Examine AI interactions for potentially sensitive information and content that may require governance controls.
3
Enforce
Apply organizational AI policies and respond to interactions according to defined governance requirements.
4
Log
Maintain an audit trail of AI activity and relevant governance actions to support accountability and oversight.
5
Capture
Capture approved AI interactions and turn useful outputs into searchable organizational knowledge.
The goal is not simply to restrict AI. It is to provide organizations with the visibility and controls needed to adopt AI in a more governed and accountable way.
Governance Capabilities
Core capabilities for enterprise AI governance
CharterPoint brings key governance capabilities together so organizations can establish a consistent approach to workforce AI usage.
Governance
Policy Enforcement
Apply organizational policies to AI interactions and establish consistent governance controls.
Explore Policy Enforcement →Compliance
AI Compliance
Support AI governance programs through visibility, controls, monitoring, and governance records.
Accountability
Audit Trail
Maintain records of AI activity and governance actions to support oversight and audit readiness.
Explore Audit Trail →Knowledge
Knowledge Capture
Turn approved AI interactions into searchable organizational knowledge that can support reuse and collaboration.
Platform
CharterPoint Platform
Bring AI visibility, governance policies, controls, auditability, and organizational intelligence together in one platform.
Explore the Platform →Enterprise Governance Areas
AI governance connects across the enterprise
Enterprise AI governance provides the broader framework. Specific governance challenges can be addressed through focused solution areas within the CharterPoint ecosystem.
Shadow AI
Address the governance challenges created when employees use AI applications outside established organizational processes.
Explore Shadow AI →AI Security
Explore how organizations can approach security considerations associated with enterprise AI usage and sensitive information.
Explore AI Security →AI Risk Management
Address the broader governance processes organizations use to identify, evaluate, and manage risks associated with AI.
Enterprise AI Governance
Governance for organizations adopting AI at scale
Enterprise AI governance involves more than selecting an AI tool or publishing an acceptable-use policy. Organizations need a practical framework for understanding AI usage, establishing policies, applying controls, maintaining accountability, and learning from governed AI activity.
IT and Technology Leaders
Establish visibility and governance across an expanding portfolio of AI applications and workforce use cases.
Security and Risk Teams
Gain governance visibility into AI usage and establish controls around interactions involving organizational information.
Compliance and Governance Teams
Support AI oversight through policies, monitoring, records, and governance processes.
Enterprise Leadership
Establish a consistent approach to responsible AI adoption while enabling employees to use AI productively.
Enterprise AI Governance Questions
Common questions about enterprise AI governance
Practical answers to common questions organizations ask when developing an enterprise AI governance strategy.
Organizations need AI governance to establish visibility into AI usage, define acceptable-use policies, manage sensitive information and risk, support accountability, and provide a consistent framework for responsible AI adoption.
An enterprise AI governance framework can include AI usage visibility, policies and acceptable-use standards, data and security controls, risk management, compliance processes, monitoring, auditability, and organizational accountability.
Not necessarily. AI governance can allow organizations to support productive AI adoption while establishing policies and controls for specific applications, interactions, data, and use cases.
AI visibility provides organizations with information about which AI applications are being used and how AI is being adopted. That visibility can provide a foundation for policies, controls, risk management, and governance decisions.
Responsible AI adoption means introducing and using AI with appropriate organizational policies, oversight, controls, accountability, and consideration of security, privacy, risk, and compliance requirements.
CharterPoint supports enterprise AI governance by providing visibility into AI usage, inspecting AI interactions, applying organizational policies, maintaining audit trails, and capturing approved AI interactions as organizational knowledge.
Enterprise AI Governance
Build a more governed approach to enterprise AI adoption.
See how CharterPoint can help your organization establish visibility, policies, controls, and accountability around workforce AI usage.
Schedule a Demo
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sales@charterpoint.ai
sales@charterpoint.ai