Your marketing team uses AI to write campaigns. Customer service has an AI chatbot. HR is evaluating a tool that ranks applicants. Somewhere else in the business, an employee has uploaded a customer spreadsheet to an AI service without asking anyone.
Who keeps track of those systems? Who decides what information they can access? Who checks whether they work as intended?
Captain Compliance’s AI governance offering helps businesses answer those questions and manage the work that follows. It brings AI inventories, risk assessments, vendor reviews, approval workflows, and ongoing oversight into a structured process.
What Is AI Governance?
AI governance is how a business establishes and manages the rules for using artificial intelligence. It covers the AI tools a company purchases, the applications it builds, and the agents it authorizes to take actions.
The practical questions are straightforward: What is this system for? What data does it receive? What decisions can it influence? Who is responsible for it? What needs to happen before it can be used?
An AI tool that drafts social media captions needs different oversight from one that recommends denying an insurance claim. Governance accounts for those differences rather than treating every AI project the same way.
How Captain Compliance Helps
Build an AI Inventory
Oversight starts with knowing what your business uses. Captain Compliance helps organizations maintain an inventory of AI systems, models, applications, agents, and vendors, with records of their purpose, ownership, data access, and approval status.
That inventory gives privacy, security, legal, and business teams a shared reference when reviewing existing tools or considering new ones.
Assess Risks in Context
A useful assessment examines how the system is actually deployed. Does it process personal information? Can it generate inaccurate advice? Does it influence decisions about customers or employees? Can an agent access internal records or take actions without human approval?
Captain Compliance helps teams assess those risks, document their findings, and identify the controls needed for the intended use.
Review AI Vendors
Buying an AI service introduces questions about the provider’s practices as well as the product’s capabilities. Businesses need to understand what information a vendor receives, how it uses that information, how long it retains it, and what happens when the service changes.
Vendor reviews help teams record those answers, identify gaps, and track the conditions attached to approval.
Manage Approvals and Controls
An AI policy becomes useful when it changes how work gets approved and performed. A project may need additional testing, restricted data access, human review, or changes to its proposed use before deployment.
Captain Compliance helps organizations manage those requirements, assign responsibility, and track unresolved issues. Technical controls must also be implemented in the systems where data flows and actions occur.
Maintain Evidence and Ongoing Oversight
An approval should have a record behind it: the assessment, supporting evidence, reviewer decisions, required controls, and any remaining limitations.
Governance continues after launch. A new model, broader data access, or a change in the system’s purpose can require another review. Monitoring and reassessment help teams identify when the original approval conditions no longer match how the AI operates.
What This Looks Like in Practice
Suppose a business wants an AI customer service agent to answer questions and issue refunds. Before deployment, the team records which customer information it can access, tests its responses, establishes refund limits, and decides when it must escalate to a person.
The business then tracks errors, reviews changes, and retains evidence of its decisions. Each step has an owner and a record.
That is AI governance in everyday terms. Captain Compliance helps your business put that process in place, so AI adoption comes with clear responsibilities and controls you can explain.