Who Gets the AI When an Employee Leaves the Company?

Dear Will & AiME,

One of our employees built a customized AI assistant that has become an important part of how our team works. It includes prompts, workflows, internal documents, and years of accumulated know-how. The employee is leaving the company. Who gets the AI?

— Operations Director, Dallas

Short Answer 💡

Companies often own AI tools, prompts, and workflows created by employees within the scope of their employment using company resources, but ownership can depend on employment agreements, company policies, and platform terms. Clear policies, company-controlled accounts, and a thoughtful offboarding process help preserve these assets and maintain continuity when employees leave.

Dear Operations Director,

AI is creating a new category of company assets: customized assistants, prompt libraries, automated workflows, saved instructions, and knowledge bases. These tools often capture how employees do their best work.

The opportunity is to identify what employees have created, where it lives, and how to preserve it for the team.

What Counts as an AI Asset?

AI tools range from simple chatbots to sophisticated customized assistants with detailed instructions, reusable prompts, uploaded documents, integrations, and specialized workflows.

A carefully developed prompt library may reflect company strategy, customer knowledge, pricing practices, and years of trial and error. A customized AI workflow can function like an internal playbook.

Treating these assets as part of the company’s operational knowledge ensures they remain available when employees transition.

How to Clarify AI Ownership

Ownership typically depends on employment agreements, invention-assignment provisions, company policies, and platform terms.

A workflow created within the scope of employment using company information will generally belong to the company. An AI assistant created independently in a personal account may be treated differently.

Confidentiality is equally important. When AI systems contain customer information, product plans, methodologies, or pricing strategies, having clear confidentiality measures in place protects the company’s interests.

The Case for Company-Controlled AI Accounts

When employees use personal AI accounts for company work, the company may have limited visibility into the workflows and information stored there.

Requiring important AI workflows and customized assistants to be created in company-controlled environments makes it easier to preserve institutional knowledge and manage transitions.

Building AI into Your Offboarding Process

AI is becoming part of routine employee offboarding:

  • Identify company-related AI accounts, customized assistants, prompt libraries, knowledge bases, workflows, and integrations before access is terminated.

  • Determine whether company information needs to be transferred, preserved, or removed from personal systems.

  • Review access credentials and API keys. An employee’s AI workflow may still connect to company email, databases, customer systems, or third-party platforms after departure.

  • Revoke access promptly when it is no longer needed.

Plan Before the Employee Leaves

Employees are building AI systems that embody valuable company knowledge.

Think beyond who owns the laptop or the files. Consider who controls the prompts, workflows, configurations, data, and access rights that make the AI useful.

A clear AI-use policy, company-controlled accounts, appropriate IP and confidentiality provisions, and an AI-specific offboarding process preserve institutional knowledge and protect sensitive information.

In the AI workplace, handing over the keys includes handing over the prompts.

— Will & AiME

Three Takeaways:

  1. Customized AI assistants, prompts, and workflows are valuable company assets worth preserving during employee transitions.

  2. Company-controlled AI accounts give businesses visibility and access to workflows created for company purposes.

  3. Adding AI accounts, prompts, integrations, and access permissions to the offboarding process captures institutional knowledge.


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