How to roll out AI agents in a holding without losing data

A lawyer uploads a draft contract to a language model, a developer connects an AI agent to the corporate repository, and an HR specialist asks a service to compare candidate CVs. To each employee this is just one more work tool, but for a large company every such action raises the question of where the data ends up. The outlet bluescreen looks at what international practice shows about rolling out AI in holdings and which questions Kazakhstan still has to settle.

A holding is more complex than a single company: many legal entities, different divisions, different levels of access to information. When AI is adopted ad hoc, each employee decides for themselves what to upload, and neither management nor the security team has a full picture. So the rollout is not only about choosing a model but about setting rules: which data may be shared and who is accountable.

Start with a quick inventory of which AI services your staff already use and which documents end up in them. Then split your data into what may be shared and what must never leave the company, and write it into a policy. It is easier when access follows the company structure: in 1Cifer every position has its own agent, so an accountant never sees what is meant only for the director.