Discovery
AI Application Visibility
Understand which AI applications are being used across the workforce and establish a foundation for more informed governance.
Enterprise AI Visibility
Understand How AI Is Used Across Your Workforce
AI is becoming part of everyday work, from research and writing to software development and business analysis. CharterPoint helps organizations establish visibility into workforce AI usage, understand which applications employees use, and build a stronger foundation for responsible AI governance.
AI Visibility Overview
AI Applications Identified
Workforce Usage in View
Governance Needs Identified
Ready for Policy Oversight
Understanding AI Visibility
What is enterprise AI visibility?
Enterprise AI visibility is the ability to understand which artificial intelligence applications are being used across an organization and how AI is becoming part of everyday work. It helps technology, security, and governance teams move beyond assumptions and develop a clearer picture of workforce AI adoption.
Employees may use AI tools to summarize documents, explore ideas, write content, analyze information, or assist with software development. These activities can create value, but they may also involve company information, intellectual property, source code, or other material that requires appropriate oversight.
Without suitable visibility, organizations may struggle to understand the scale of AI adoption or determine where policies and controls are needed. CharterPoint helps establish visibility into AI usage as part of a broader approach to enterprise AI governance.
The Visibility Challenge
You cannot govern AI usage you cannot see
AI adoption does not always follow formal technology procurement or implementation processes. Employees may independently adopt applications that help them work more efficiently. Organizations need a practical way to understand this activity and determine where additional governance may be appropriate.
Limited Usage Visibility
Without a clear view of workforce AI usage, IT teams may find it difficult to understand which applications employees rely on and where AI adoption is taking place.
Decentralized AI Adoption
Different teams can adopt AI tools for different purposes. Organizations need a more consistent understanding of this activity across the workforce.
Unclear Governance Priorities
When AI usage is difficult to see, identifying where policies, data protection measures, and oversight are most needed becomes more challenging.
Incomplete Adoption Picture
Without meaningful visibility, leadership may lack the information needed to understand AI adoption and make informed governance decisions.
The CharterPoint Approach
From AI activity to informed governance
AI visibility is the starting point for a more structured governance process. CharterPoint connects visibility with interaction inspection, policy enforcement, and accountability to help organizations manage workforce AI usage.
1
Identify
Establish visibility into AI applications and workforce usage to develop a clearer understanding of how AI is being adopted.
2
Understand
Examine relevant AI interactions to understand their governance context and identify activity that may require additional attention.
3
Govern
Use visibility and organizational requirements to support appropriate AI policies and governance controls.
4
Maintain Accountability
Connect governed AI activity with relevant records and oversight processes to support accountability across the organization.
AI visibility is not about discouraging useful AI adoption. It is about helping organizations understand how AI is used so they can establish appropriate governance without unnecessarily restricting productive work.
AI Visibility Capabilities
Build a clearer picture of workforce AI usage
Effective AI governance starts with understanding the activity that needs to be governed. CharterPoint's AI visibility approach supports several important areas of enterprise oversight.
Adoption
Workforce AI Usage
Develop a clearer picture of how employees are incorporating AI into everyday activities, including research, writing, analysis, and software development.
Awareness
Governance Awareness
Use AI usage visibility to identify areas where organizational policies, oversight, or additional governance may be needed.
Data Protection
Risk-Aware Oversight
Connect AI visibility with appropriate review of interactions that may involve sensitive information or require policy controls.
Governance
Policy-Driven Controls
Use visibility as a foundation for applying organizational AI usage policies and establishing consistent governance practices.
Explore Policy Enforcement →Accountability
Governance Records
Connect relevant AI activity and governance actions with records that support organizational oversight and accountability.
Explore Audit Trail →Enterprise Use Cases
AI visibility for the teams responsible for governance
Different teams need different perspectives on AI adoption. A shared understanding of workforce AI usage can help establish a more coordinated approach to technology management, security, and governance.
IT and Technology Leaders
Understand the AI applications entering everyday workflows and develop a clearer view of technology adoption across the organization.
Security Teams
Use AI usage visibility as an input to security oversight, particularly where AI interactions may involve company information or sensitive data.
Compliance and Governance Teams
Connect workforce AI adoption with organizational policies, oversight requirements, and appropriate governance processes.
Enterprise Leadership
Develop a more informed understanding of AI adoption to help balance productive use of AI with organizational accountability.
Connected Governance Capabilities
AI visibility is the beginning, not the whole picture
Visibility helps organizations understand AI usage. A broader governance approach connects that understanding with policies, security considerations, and accountability.
CharterPoint Platform
Bring AI visibility, policy enforcement, auditability, and organizational knowledge together within an enterprise AI governance platform.
Explore the Platform →Enterprise AI Governance
Understand the broader framework of policies, controls, oversight, and accountability for responsible AI adoption.
Explore Enterprise AI Governance →Shadow AI
Explore the governance challenges that arise when employees use AI applications outside established organizational processes.
Explore Shadow AI →AI Security
Learn how AI usage visibility can contribute to a broader approach to protecting sensitive information and managing enterprise AI security considerations.
Explore AI Security →AI Visibility Questions
Frequently asked questions about AI visibility
Learn what enterprise AI visibility means, why it matters, and how it supports a practical approach to workforce AI governance.
In enterprise AI governance, AI visibility means understanding which AI applications are being used across the workforce and developing insight into how AI is being adopted. It provides a foundation for organizational oversight, policy decisions, and responsible AI use.
AI visibility helps organizations understand workforce adoption instead of relying on assumptions. This understanding can help IT, security, and governance teams identify where policies, oversight, and additional controls may be appropriate.
AI visibility focuses on understanding AI applications and usage across an organization. AI governance is broader: it includes visibility alongside policies, controls, oversight, risk management, and accountability. Visibility helps provide information that organizations can use to guide their governance decisions.
Shadow AI refers to AI applications used outside established organizational approval or governance processes. Visibility into workforce AI usage can help organizations identify applications that may need review and determine where clearer policies or appropriate controls are needed.
AI visibility can help organizations understand where AI usage may require closer attention. When combined with appropriate interaction inspection and policy enforcement, it can support governance practices intended to reduce unnecessary exposure of sensitive organizational information.
Organizations may need to consider generative AI assistants and other AI applications used for research, writing, software development, analysis, and everyday business work. Examples include ChatGPT, Claude, Microsoft Copilot, and Gemini. The applications relevant to each organization depend on its workforce, tools, and governance requirements.
No. AI visibility is intended to help organizations understand AI adoption and make informed governance decisions. The goal is to support productive AI use while establishing appropriate policies, oversight, and accountability for organizational requirements.
CharterPoint supports workforce AI visibility as part of its enterprise AI governance approach. It connects understanding AI usage with interaction inspection, organizational policy enforcement, audit trails, and governed knowledge capture.
Enterprise AI Visibility
Bring greater visibility to workforce AI adoption.
Understand how AI is being used across your organization and explore how CharterPoint can support a more informed, governed approach to enterprise AI adoption.
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sales@charterpoint.ai
sales@charterpoint.ai