ChatGPT is probably in use here already. INTAI helps you govern it properly.
Generative AI adoption does not always begin with an IT project. It can begin with an employee opening an account. Employees may use ChatGPT for drafting, research, summarisation, analysis, coding, customer communication and everyday problem solving before the organisation has formally decided how AI should be used. That creates a different governance challenge.
Before wider adoption, organisations need to understand:
INTAI helps organisations move from unknown or fragmented AI activity towards visible, managed and responsible use.
"Using ChatGPT" can describe very different arrangements. The governance requirements depend partly on the product, account, deployment route, data and intended use.
Employees accessing ChatGPT through individually managed accounts, with account settings, billing and data choices controlled by the individual rather than the organisation.
Sits outside organisational visibility and control by default.
Managed organisational access with business administration, security and workspace capabilities, allowing an organisation to see and control how accounts are used.
Brings account management within organisational control for the first time.
Enterprise deployment designed for organisations requiring additional administrative, identity, security and organisational controls beyond standard business accounts.
Typically the most appropriate route for larger or more regulated organisations.
OpenAI models integrated into applications, products, internal systems or organisational workflows, rather than accessed through a chat interface.
Moves governance responsibility onto the organisation building the integration.
AI-enabled tools or agents built using OpenAI models and connected to organisational data, systems or business processes, often acting with less direct human oversight.
Needs its own approval, ownership and access review, separate from everyday use.
The governance requirements change as AI moves from an individual productivity tool into organisational systems and workflows.
The fact that employees like using ChatGPT does not mean it is automatically the right platform for every organisational use case. Start with the requirement. Before standardising on a platform, consider:
For some organisations and use cases, ChatGPT may be appropriate. For others, Microsoft Copilot, Claude, Gemini, Amazon Bedrock, specialist applications or privately deployed models may be more suitable.
INTAI helps organisations assess the requirement before recommending the technology.
ChatGPT may be worth considering for use cases including the following. The appropriate platform should be selected against the requirements and risks of the use case rather than simply because employees are already familiar with it.
Supporting reports, emails, proposals, policies and other business content, giving employees a faster starting point for routine written work.
Drafting a first-pass version of a policy document or client proposal.
Supporting structured research and initial investigation, helping employees orient themselves quickly before deeper, verified work begins.
Producing an initial overview of a topic before a more detailed review.
Summarising, analysing and comparing information across documents, reducing time spent reading and cross-referencing lengthy material.
Summarising the key points across several long documents.
Supporting employees with structured thinking, analysis and everyday knowledge work, though conclusions still need checking before they are relied upon.
Working through options for a business problem before a decision is made.
Supporting coding, documentation, testing and technical work, which can speed up development while code review and testing standards remain in place.
Drafting test cases or documentation alongside a piece of code.
Supporting preparation, drafting and service workflows where appropriate human oversight exists before anything reaches a customer or client.
Preparing a first draft of a client response for an adviser to check.
Helping employees work with approved organisational information where appropriate systems and controls exist around what can be shared.
Answering employee questions from an approved internal document set.
Using OpenAI models through APIs or integrations as part of broader business processes, rather than a person prompting ChatGPT directly.
An integration that drafts a summary automatically when a case is closed.
Using OpenAI models within systems capable of completing multi-step tasks or taking defined actions, which is where the consequences of an ungoverned deployment are usually greatest.
An agent that triages incoming requests and routes them to the right team.
The question isn't just "is ChatGPT GDPR compliant?" The more useful question is how your organisation is using it. Organisations handling personal, confidential, regulated or commercially sensitive information need to understand the complete arrangement. Relevant considerations can include:
No AI subscription automatically makes an organisation compliant. The organisation remains responsible for determining whether its particular use is appropriate and properly governed.
A secure enterprise environment is only one part of responsible organisational adoption. Your organisation still needs to determine:
Which roles and teams have access, and how that access is granted and reviewed.
Which activities are approved, and which are prohibited.
What organisational information employees may enter into ChatGPT.
Which categories of information are off-limits regardless of account type.
Which integrations, plugins or connectors are permitted, and on what basis.
Which outputs must be checked by a person before they are used or relied upon.
Who is accountable for a given ChatGPT use case.
Who signs off a new way of using ChatGPT before it goes live.
Whether an agent can only retrieve information, or also trigger a workflow or action.
Who is permitted to approve an agent taking a defined action.
What happens when something goes wrong, and who needs to know.
How usage, account types and emerging use cases are tracked over time.
What records exist to demonstrate the use of ChatGPT is appropriately governed.
What triggers a use case being paused, changed or withdrawn.
ChatGPT can produce useful output quickly. Speed and fluency should not be mistaken for accuracy, authority or accountability. Organisations need to determine:
The appropriate level of oversight should reflect the potential consequences of the use case.
Organisations operating in regulated or data-sensitive environments may face additional questions around the following.
INTAI helps organisations consider ChatGPT within existing governance, risk, compliance, information-security and data-protection structures rather than treating AI governance as an isolated activity.
Can your organisation answer these questions? Tick the statements that already apply to generate an indicative readiness score. It does not replace a formal assessment, but it helps show where the gaps are before wider ChatGPT adoption.
The profile reflects the number of statements ticked above. It does not replace a formal assessment, but it helps show where governance attention may be needed first.
Tick the statements that apply to your organisation to generate an indicative ChatGPT readiness profile.
0-7 | Early Stage
ChatGPT use looks informal or ungoverned, or account types have not yet been reviewed. The priority is a discovery exercise and an approved account type before use expands any further.
8-14 | Building Readiness
Some foundations are in place, but gaps remain in account management, agent governance or monitoring. Closing these gaps before wider adoption reduces both risk and rework later.
15-20 | Well Positioned
ChatGPT use looks well governed. Ongoing monitoring of accounts, integrations and adoption remains important as OpenAI's products and organisational use continue to evolve.
This checklist provides an indicative view only and should not be treated as a formal AI governance assessment, legal opinion or assurance conclusion.
INTAI can help you assess ChatGPT use, account arrangements and agent governance in more depth, and build a practical, proportionate plan around it.
Discuss Your ChatGPT ReadinessA consistent process for moving from experimentation to governed adoption, scaled to the size of the deployment.
Understand existing ChatGPT and wider AI use across the organisation, including formal and informal activity.
A clear picture of current ChatGPT activity across the organisation.
Assess use cases, account arrangements, data exposure, organisational readiness, governance and risk.
A gap analysis covering accounts, data exposure and governance maturity.
Define governance, responsibilities, policies, approved use cases, prohibited activity, access and human oversight.
A governance framework and policy set for ChatGPT use.
Support the move towards an appropriate organisational environment and establish relevant administrative and governance controls.
A configured account environment aligned to agreed governance controls.
Introduce or formalise ChatGPT through defined teams and approved use cases before wider adoption.
Evidence that the approach works in practice before wider rollout.
Give employees practical guidance on effective use, data handling, verification, organisational expectations and responsible AI.
Role-specific training for users, use-case owners and oversight roles.
Expand successful use cases across appropriate teams and workflows.
A phased rollout plan with governance revisited at each stage.
Review adoption, new use cases, incidents, integrations, agents, platform changes and governance effectiveness.
Ongoing visibility of usage, accounts, agents and emerging risk.
Many organisations do not begin with a formal AI deployment. Employees begin using AI first. If ChatGPT is already being used, the answer is not necessarily to ban it or start again. INTAI can help establish:
The objective is to move from Shadow AI to managed AI.
From unknown use to visible use. From individual experimentation to organisational capability.
A managed account does not automatically create responsible or effective AI use. Training can include:
Training should reflect what employees are actually expected to do with AI rather than giving everyone the same generic course.
Explore AI TrainingChatGPT changes. New capabilities appear. Employees discover new use cases. Integrations and agents can expand what AI can access and do.
Organisations therefore need to continue reviewing:
INTAI can provide ongoing governance and assurance as organisational AI use develops.
Explore Managed AI GovernanceEmployee familiarity can make ChatGPT an obvious platform to consider. But familiarity should not be the only selection criterion. The appropriate choice depends on:
INTAI can help organisations compare ChatGPT with alternative AI approaches before committing to wider adoption.
Compare AI PlatformsINTAI does not start with a preferred AI vendor. We help organisations assess and govern technologies including ChatGPT / OpenAI, Claude / Anthropic, Microsoft Copilot, Google Gemini, Amazon Bedrock, IBM watsonx, Perplexity, open-weight and privately deployed models, and AI infrastructure and multi-model environments.
The appropriate platform depends on what the organisation is trying to achieve, the sensitivity of its data, its existing technology environment and the level of governance and control required. Where appropriate, INTAI can support the complete journey from initial selection through to ongoing governance.
Recommendations are shaped by an organisation's requirements, risk profile and regulatory exposure, not by which platform we sell. Where a client already has a preferred or mandated platform, we work within that constraint and focus on making its use appropriately governed, effective and aligned with organisational requirements.
INTAI does not imply partnership, endorsement or certification by the technology providers referenced unless explicitly stated.
ChatGPT is OpenAI's conversational AI assistant, available through individual, business and enterprise accounts as well as the OpenAI API. Businesses use it for drafting, research, analysis, coding, customer communication and, increasingly, as the basis for custom applications and AI agents built on OpenAI's models.
ChatGPT can be suitable for many UK businesses, but suitability depends on which account type is used, what information employees provide to it, and whether appropriate governance and training are in place around that use.
No AI platform is automatically GDPR compliant on its own. Whether a particular use of ChatGPT meets UK GDPR requirements depends on the account type in use, the organisation's own configuration, data handling practices and its contractual terms with OpenAI.
OpenAI's training use of business data depends on the product and settings in use. Business and enterprise ChatGPT accounts and the OpenAI API generally carry different data usage and training provisions to individual consumer accounts, which is one reason account type matters so much in a business context.
Individual accounts are managed by the person using them, with limited organisational oversight. Business and enterprise accounts add administration, security controls and workspace management suited to organisational deployment, with enterprise typically offering the most extensive administrative and control options.
Personal accounts sit outside organisational visibility and control, so there is typically no way to see what information has been shared, which data protection or training provisions apply, or whether use complies with company policy. This is a common source of Shadow AI risk.
Whether employees can safely use ChatGPT with confidential company information depends on the account type, the organisation's own policies and its data classification. It should not be assumed safe by default; organisations need clear rules about what confidential information may be entered and under which account type.
ChatGPT is used across regulated sectors including financial services, insurance and legal services, but regulated organisations typically need additional governance around confidentiality, account management, human oversight, record keeping and evidence before wider deployment.
Finding out whether employees are already using ChatGPT typically starts with a discovery exercise covering IT and security logs, procurement records, informal surveys and conversations with teams, since much early ChatGPT use happens on personal accounts that do not appear in any central system.
Banning personal accounts outright rarely removes the underlying demand, and can push use further underground. Most organisations get better results from providing an approved alternative alongside clear policy, rather than relying on prohibition alone.
Moving from informal ChatGPT use to managed organisational use typically starts with understanding current use, then introducing an approved account type, clear policy on acceptable use, defined governance and training, so valuable use cases can continue in a visible and controlled way.
Shadow AI refers to AI tools, including personal ChatGPT accounts, that employees use for work without organisational visibility, approval or governance. It creates risks similar to Shadow IT, but often develops faster because AI tools are so easy for individuals to start using on their own.
Most organisations benefit from having at least a basic acceptable-use policy in place before wider deployment, covering what ChatGPT can be used for, what information can be provided to it, and who is responsible for oversight.
Both are leading general-purpose AI assistants available through comparable individual, business, enterprise and API routes, with differences in underlying models, specific capabilities, pricing and integration options. The right choice depends on an organisation's specific requirements rather than one platform being universally better.
ChatGPT is a general-purpose AI assistant that can be adopted independently of an organisation's existing technology, while Microsoft Copilot is built directly into Microsoft 365 and works within a user's existing permissions there. Organisations already invested in Microsoft 365 may find Copilot a more natural fit, while others may prefer ChatGPT's flexibility.
Yes. The OpenAI API allows organisations to build OpenAI's models into their own applications, products and internal workflows, though this moves governance responsibility further towards the organisation building and operating that integration.
These typically need their own approval process, covering who can create them, what information and systems they can access, what actions they can take, who is accountable for those actions, and how their activity is monitored and escalated.
Training should reflect what different roles are actually expected to do with ChatGPT, covering areas such as effective use, data handling, output verification and organisational policy, rather than a single generic AI awareness session for everyone.
The appropriate level of human oversight depends on the risk and consequences of the use case. Higher-stakes uses, such as those affecting customers, decisions or regulated activity, typically need more structured review, defined escalation routes and clear accountability.
Monitoring should cover who is using ChatGPT, which account types are in use, what information is being entered, which integrations, GPTs or agents exist, and whether new or higher-risk use cases are emerging.
Yes. INTAI regularly works with organisations where ChatGPT is already widely used, helping them understand current usage and account types, identify governance gaps, and move from fragmented use to managed, visible and responsible use.
INTAI supports the full journey from discovery and assessment through governance design, configuration, piloting, training, scaling and ongoing monitoring, helping organisations adopt ChatGPT in a way that is proportionate to their risk and regulatory exposure.
Whether employees are experimenting independently, you are considering organisational access or you are preparing for wider deployment, INTAI can help you understand what is already happening, what needs to be governed and how to move forward.