Where is the data, where is the code, and where is your advantage?
The second episode of “Four questions before choosing an AI environment” separates the word “security” into three distinct issues: data location, employees’ working materials and ownership of developed processes. Each calls for a different solution, and each carries a different cost if handled incorrectly.
In discussions about AI, “security” usually means three very different things that should be separated before making a decision. Much of an organisation's valuable knowledge lies in working materials that employees do not want to send anywhere, while the real advantage is process logic that can easily be lost when changing providers
Where are the organisation's data, code and competitive advantage?
In this episode, we discuss these three issues in turn:
- Data location: It is a choice, not a default setting. On-premise, within the EEA or globally — separately for different processes. A single protection level for everything leads either to overpayment or to bypassing rules. And a distinction often blurred in offers: server location is not the same as the provider's jurisdiction
- Working materials: The hardest case is not the corporate repository, but draft analyses, notes and correspondence on an individual specialist's computer. We demonstrate the local TWIN:DESK agent: the material stays on the workstation while the user gets an assistant that understands their work
- Process ownership: When case-handling logic, the sequence of steps and decision criteria are stored in someone else's environment configuration, they are no longer fully yours. In SAIE, processes are implemented at the client, with code and training handed over. The advantage built through working with AI is then an organisational asset, rather than something rented
Seven questions for every provider
The episode ends with seven questions for every provider, including us. The last is the most revealing: who is responsible if the system shows an employee a document they are not authorised to access? In practice, this situation is the most common — and it is a security incident, not a software glitch
Data, code and processes are three different things. SAIE is designed so that you can answer “with us” to all three — even if you change your mind about the provider
In episode three: compliance as a ready-made framework, rather than a project to build
Four questions before choosing an AI environment
- What does an AI environment really cost?
- Where are your data, your code and your competitive advantage?
- Do you receive compliance as a ready-made framework, or must you build it as a separate project?
- Will you still be free to change the model, provider or way of working in two years?