Data governance is a major barrier to enterprise adoption of AI models, especially for chief data and information officers in highly regulated sectors. Data sovereignty issues – where corporate data is handled and stored – hold many back and force them to use complex private cloud solutions. Some simply gave up.
OpenAI’s recent announcement to offer data residency in the UK shows that leading AI model providers are changing their settings to align with the strict data protections and rules demanded by enterprise and public sector customers. This directly addresses the biggest governance concerns in the market and should accelerate AI adoption. This will move AI beyond test projects to critical business functions.
From public sector testing to full implementation
Starting October 24, the new UK data storage choice applies to OpenAI’s core business products: API Platform, ChatGPT Enterprise, and ChatGPT Edu. This allows UK customers to keep their corporate data in the UK, supporting AI governance and meeting local data protection regulations.
The UK Ministry of Justice (MoJ) is the first major client in this case. They signed a deal to give 2,500 government employees access to ChatGPT Enterprise. This comes after the Ministry of Justice announced that recent trials showed it saved people time on routine tasks such as writing assistance, compliance and legal work, research and document preparation.
The contract supports the department’s AI Action Plan, which aims to increase worker productivity and better serve the public. This specific use in government legal departments provides a reliable example for others, such as the financial and medical sectors, to measure how much they can benefit from using AI in complex knowledge-based tasks.
The MoJ’s adoption joins other AI tools already in operation in Whitehall, including Humphrey, an AI assistant that helps with administration, and Consult, a tool that investigates public feedback in minutes rather than weeks.
Necessities and issues for implementation
The announcement points out two paths for OpenAI’s UK setup plans. Choosing a new data residence appears to be the answer to enterprise AI data governance at this point. This is separate from Stargate UK, an earlier AI project by NVIDIA and Nscale. One, in the long run, is to build sovereign AI by providing models on local computing for specific uses.
For IT leaders, this complicates an AI platform market that already has many choices. OpenAI’s move to provide data residency runs counter to what cloud providers offer.
Previously, companies looking to use OpenAI models in specific locations looked to platforms like Microsoft’s Azure AI, which combines model access and data governance. Now they have to think things through more.
Businesses can access models directly from OpenAI to gain new features and UK residency, or continue using platforms such as Azure AI, AWS Bedrock, and Google Vertex AI. These have the potential to better connect with current data and enterprise applications. This choice is compared to AI in platforms such as IBM watsonx and business software such as SAP Joule, which focuses on data privacy and adaptation to current workflows.
Sam Altman, CEO of OpenAI, said: “The number of people using our products in the UK has quadrupled in the past year, and it’s great to see them using AI to save time, be more productive and get more done.”
“Civil servants are using ChatGPT to improve public services and established businesses are rethinking their operations. We are proud to continue supporting the UK and the government’s AI plans.”
UK Deputy Prime Minister David Lammy added: “Our partnership with OpenAI puts the UK firmly in the driving seat of a global technology revolution, allowing us to lead the world in innovation and leverage technology to deliver equity and opportunity to every corner of the UK.”
Key takeaways for corporate leaders driving AI data governance
OpenAI is moving from a U.S.-centric structure to offering local data options to meet the demands of businesses and governments. For business leaders, this change requires rethinking.
- Let’s look again at the issue of governance. CISOs and data protection officers should review risk reviews that have blocked OpenAI tools due to data residency. This change could allow AI projects.
- Consider use by government. MoJ’s excellent test case provides a strong reason to use this change. CIOs and COOs in other sectors can point out that governments are using this technology for tasks such as document analysis and building business cases for investments.
- Think about the total cost. CTOs should compare the total cost of using OpenAI directly versus using a cloud platform. This should include the price of the API and the cost of integration, security, and conferencing rules.
- Get ready for sovereign AI: This is part of a larger trend. The Stargate UK project and government memorandum indicate that sovereign AI is a long-term goal. Business technology planners must prepare for a combination of AI, where models and data are processed in different locations, and some are executed locally for rules, speed, or security.
With big data governance issues resolved, enterprise leaders can now use AI platforms more easily and directly. The question is no longer whether AI tools can be used safely, but how to embed, manage, and grow them to achieve real business outcomes.
See also: How AI moves IT operations from reactive to proactive
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