Companies in Turkey face many challenges, including rising operational costs, intensive information flows, lengthy reporting processes, and corporate knowledge scattered across teams. From project managers and marketing teams to C-level executives and IT departments, professionals in different roles need new technologies to make faster decisions, reduce repetitive work, and improve employee productivity.
ChatGPT can address these needs not only as a conversational tool that generates text, but also as a comprehensive AI assistant used for research, analysis, content creation, access to corporate knowledge, file review, and workflow support. However, success in enterprise use requires much more than providing employees with individual accounts. Companies need to select the right plan, establish data security policies, prioritize use cases, and train employees.
In this guide, we will examine how businesses in Turkey can use ChatGPT, the differences between ChatGPT Business and ChatGPT Enterprise, department-specific use cases, and the roadmap that can be followed for a controlled enterprise transition.
ChatGPT is an AI-powered working environment developed by OpenAI that helps users ask questions in natural language, create content, analyze files, conduct research, and complete different business tasks.
In individual use, ChatGPT is generally used for writing, summarization, or idea generation. In enterprise use, however, its application area is much broader. Companies can use ChatGPT for the following processes:
One of ChatGPT’s most important advantages is that employees can benefit from advanced artificial intelligence capabilities through natural language without needing technical expertise. However, generated responses must be verified, and critical decisions should remain under human control.
Many companies operating in Turkey work with data scattered across different applications, email chains, documents, and employees’ personal knowledge. This structure makes it difficult for employees to access the information they need and can cause the same tasks to be repeated multiple times.
The primary objective of enterprise ChatGPT use is not to automate every task completely. The actual goal is to help employees access information faster, create initial drafts in less time, and use more context in decision-making processes.
For example, a project manager may need to organize updates from different teams individually to prepare a weekly status report. When structured project notes are provided to ChatGPT, the system can prepare a report draft covering completed work, delayed tasks, risks, and next steps.
Similarly, a marketing specialist can create target audience messaging, email subject lines, and social media content for a new campaign. A finance manager can use ChatGPT to analyze variances in a budget table. An IT team can use the system to summarize technical documentation, explain error messages, and classify user requests.
Rather than replacing employees, this approach accelerates time-consuming preparation work and allows employees to focus on higher-value tasks such as analysis, evaluation, and decision-making.
ChatGPT Business is a self-service enterprise plan designed for teams to work through a shared and controlled ChatGPT workspace. It provides centralized billing, workspace management, and basic administrator controls. According to OpenAI’s official statement, ChatGPT Business can be started with a minimum of two users.
ChatGPT Business can be particularly suitable for the following companies:
ChatGPT Business offers features such as a dedicated workspace for teams, centralized membership management, administrator controls, SAML SSO, and MFA support. Business data is not used to train OpenAI models by default.
Within the available features and usage limits, users can benefit from file uploads, data analysis, web search, projects, applications, and advanced research tools. Since plan features and limits may change over time, it is important to review the official plan page before purchasing.
Although ChatGPT Business offers the advantage of a fast start, organizations that require advanced company-wide user management, comprehensive compliance controls, or specialized enterprise requirements may need to evaluate ChatGPT Enterprise.
ChatGPT Enterprise is a managed enterprise plan designed for large-scale organizations with more advanced governance requirements. According to OpenAI, this plan combines enterprise-grade privacy and security, centralized workspace management, and advanced ChatGPT capabilities.
ChatGPT Enterprise is particularly designed for organizations with the following requirements:
ChatGPT Enterprise provides centralized management features such as domain verification, SSO, SCIM, and usage insights. These tools help IT managers control user access more effectively and scale enterprise deployment.
Through the Compliance Platform, certain logs and metadata records within the workspace can also be connected to eDiscovery, DLP, or SIEM tools, supporting enterprise security operations. The availability of these features should be evaluated based on the contract, plan, and configuration.
The right plan should not be selected based only on company size. Security requirements, number of users, identity management, purchasing model, data governance, and support expectations should be evaluated together.
Since features and commercial conditions may change, the final plan comparison should be made according to current OpenAI documentation and the organization’s requirements.
Data security is one of the most important issues in enterprise ChatGPT use. Employees transferring customer information, financial data, source code, or internal company documents to individual AI tools without control may create significant risks.
OpenAI states that business data within ChatGPT Business and ChatGPT Enterprise is not used to train models by default. Organizations retain ownership and control rights over their inputs and outputs within applicable legal limits. Data is protected through encryption controls while in transit and at rest.
However, a product’s security features alone do not guarantee secure use. Companies must also establish their own internal policies.
Companies are advised to clearly define the following topics:
In addition to their obligations under Turkey’s Personal Data Protection Law, KVKK, companies in Turkey should also evaluate other data protection and compliance requirements based on the countries and sectors in which they operate. Legal, information security, and IT teams should be included in the process, especially for use cases involving customer data, health data, employee information, or financial records.
ChatGPT’s enterprise value is not limited to using general internet information. It can use company context through authorized applications and enterprise data sources to generate more relevant responses.
The company knowledge feature helps ChatGPT access an organization’s own information through appropriately enabled applications, generate company-specific responses, and reference the sources used. The system respects existing user permissions, meaning employees cannot access corporate content through ChatGPT that they would not normally be authorized to access.
For example, an employee may ask questions such as:
“Summarize the product development projects completed last quarter.”
“Which document explains the leave procedure for new employees?”
“What risks were identified in the latest meeting notes for this customer?”
“Group the objections most frequently encountered by the sales team last month.”
For these use cases to operate securely, administrators must determine which applications will be enabled, which user groups will have access, and for what purposes the data will be used. Information accessed from applications in ChatGPT Business, Enterprise, and Edu workspaces is not used for model training by default.
Project managers can use ChatGPT to prepare project initiation documents, risk lists, status reports, task descriptions, and meeting agendas.
Example prompt:
“Analyze these project notes. Summarize completed work, delayed tasks, critical risks, and next week’s priorities under four separate headings. List items without a specified date or owner separately.”
ChatGPT does not replace a project management tool in this scenario. However, it accelerates the process of organizing information from different sources and transforming it into a draft that the manager can use for decision-making.
Marketing specialists can use ChatGPT for tasks such as target audience analysis, campaign ideas, content planning, email drafts, advertising variations, and SEO research.
Example prompt:
“Create a campaign targeting IT managers at technology companies in Turkey with 100–500 employees. Prepare the target audience’s three main challenges, the value proposition, five email subject lines, and a LinkedIn post draft. Do not use unverified statistics.”
When the brand tone, target audience information, and approval processes are not defined, the resulting content may remain generic. Therefore, companies should create enterprise prompt templates and editorial control mechanisms.
Sales teams can use ChatGPT for meeting preparation, summarizing customer needs, creating discovery questions, and preparing follow-up emails.
Example prompt:
“Based on these meeting notes, list the customer’s goals, current challenges, decision criteria, and outstanding questions. Then prepare a professional but concise follow-up email. Do not add information that is not included in the notes.”
In this scenario, the company’s data policies and authorization structure must be considered before CRM data is shared.
Human resources teams can use ChatGPT for areas such as job description drafts, onboarding content, thematic analysis of employee surveys, and the creation of training materials.
However, candidate evaluations, performance decisions, or sensitive employee-related decisions should not be based solely on artificial intelligence output. ChatGPT should be used as a supporting tool, while final evaluations must be made by authorized individuals.
IT managers and developers can use ChatGPT for processes such as preparing technical documentation, explaining error messages, creating code review checklists, and categorizing user requests.
Example prompt:
“Review this error log. List the possible causes in order of importance, explain the tests that can be performed to validate them, and create a non-technical information message that can be sent to the user. Mark any points where you cannot make a definitive diagnosis as assumptions.”
The sharing of sensitive information such as source code, security keys, and production environment details should be restricted through company policies.
Senior executives can use ChatGPT to summarize long reports, compare different scenarios, prepare for meetings, and create initial drafts of decision documents.
For example, quarterly reports from different departments can be provided to ChatGPT within a suitable and secure workspace to identify common themes, critical risks, and topics requiring management decisions.
However, strategic decisions should not be based solely on the generated summary. Source documents, assumptions, and calculations must be reviewed.
A successful ChatGPT implementation should begin with a controlled pilot rather than providing access to all employees at the same time.
In the first stage, measurable business objectives should be defined instead of simply stating, “We want to use ChatGPT.”
Example objectives:
For the initial pilot, three to five high-value use cases with a controlled level of risk can be selected. Tasks such as meeting summaries, content drafts, and document classification may be more manageable for the initial stage.
IT, legal, information security, human resources, and relevant business units should work together to determine data classification, acceptable use, and human approval policies.
ChatGPT Business or ChatGPT Enterprise can be selected by evaluating the number of users, SSO requirements, user lifecycle management, application connections, data retention expectations, and the support model.
General ChatGPT training may not meet the needs of every department. Marketing teams should receive examples related to content creation and verification, project managers should receive reporting examples, and IT teams should receive examples of secure technical usage.
The following metrics can be monitored during the pilot:
At the end of the pilot, use cases that generate genuine value should be identified and expanded to new departments in a controlled manner. Areas with low usage should not simply be given more access; process and training deficiencies should also be examined and redesigned.
The fact that employees use ChatGPT does not mean that the company has an enterprise AI strategy. Usage may remain fragmented when there is no centralized workspace, data policy, training, or measurement mechanism.
Launching a large number of use cases simultaneously increases the governance burden. Companies should begin with frequently repeated, measurable, and clearly defined tasks.
ChatGPT may generate incorrect, incomplete, or out-of-context responses. Financial, legal, technical, and customer-facing content should especially be reviewed by a person.
Companies should clearly define which data employees are allowed to use. Security should be addressed not only as a platform feature, but also together with user behavior and company policies.
Purchasing a large number of licenses or recording a high number of logins does not demonstrate business value. Companies should focus on outcome metrics such as time saved, output quality, and process performance.
Selecting a license alone is not sufficient to benefit from ChatGPT’s enterprise potential. Companies need to analyze their existing processes, identify the right use cases, assess risks, and prepare employees for a new way of working.
Omtera can help companies plan ChatGPT and OpenAI-based solutions in alignment with their business objectives. This may include evaluating current processes, prioritizing high-value use cases, defining the pilot scope, preparing prompt templates, and establishing a measurement framework.
For example, when a company wants to accelerate the preparation of weekly management reports, the process should not be approached simply as “asking ChatGPT to write the report.” The data sources used, report format, approval mechanism, confidentiality level, and quality criteria should first be defined. Time savings and output accuracy should then be measured through a controlled pilot.
This approach helps transform ChatGPT from a randomly used tool into an enterprise capability that is integrated into the company’s working system in a controlled manner.
You can use the following checklist before introducing ChatGPT:
ChatGPT is not merely a conversational tool that creates content for businesses in Turkey. When positioned correctly, it can support many business processes, from project reporting and marketing production to corporate knowledge access and technical documentation.
However, technology, processes, and people must be addressed together to create lasting value. Companies should first define clear business objectives, establish secure usage policies, choose the right plan, and provide role-based employee training. A controlled approach that begins with measurable pilots makes it easier to scale ChatGPT safely and efficiently across the organization.
Are you ready to use ChatGPT securely and measurably within your organization? Schedule a short meeting with Omtera and create your enterprise OpenAI roadmap today.
Can ChatGPT be used by companies in Turkey?
Yes. Companies in Turkey can evaluate ChatGPT Business or ChatGPT Enterprise according to their needs. Data security, KVKK, user management, and internal policy requirements should be reviewed before use.
What is the main difference between ChatGPT Business and ChatGPT Enterprise?
ChatGPT Business is a shared workspace that teams can start using through a self-service model. ChatGPT Enterprise is designed for larger-scale deployments, advanced user management, enterprise security, and governance requirements.
Does ChatGPT use enterprise data for model training?
OpenAI states that business data within ChatGPT Business and ChatGPT Enterprise is not used for model training by default. Companies should still establish their own data sharing and usage policies.
Can customer information be uploaded to ChatGPT?
This decision should be made according to the company’s data classification policy, legal obligations, selected plan, and intended use. Unnecessary personal data should not be shared, information should be anonymized where possible, and approval should be obtained from authorized teams.
Does ChatGPT replace employees?
ChatGPT’s primary enterprise value is accelerating repetitive preparation work and making it easier for employees to access information. Human expertise remains essential in strategic decisions, verification, customer relationships, and processes that require accountability.
Which departments can use ChatGPT?
ChatGPT can be used in many departments, including project management, marketing, sales, customer service, human resources, finance, legal, IT, and senior management. Use cases should be customized according to each department’s data, risks, and business objectives.
How should companies begin using ChatGPT at the enterprise level?
Companies should first define a measurable business objective, select three to five pilot use cases, establish data policies, and provide role-based employee training. Successful use cases should be scaled after the pilot results have been measured.
Is the information generated by ChatGPT always accurate?
No. ChatGPT may produce incomplete, incorrect, or outdated information. Critical information should be verified through reliable sources, and high-impact decisions should remain under human control.
Can ChatGPT connect to enterprise applications?
Depending on the appropriate plan, available features, and administrator settings, ChatGPT can work with supported applications and corporate information sources. Access depends on existing user permissions and workspace administrator configurations.
How is ChatGPT pricing determined in Turkey?
Pricing may vary according to the selected plan, number of users or seats, contract structure, usage model, and required enterprise features. Since prices may change over time, the official OpenAI pricing page should be reviewed before purchasing.
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