Convenience first, questions later
Public AI tools are easy to use. An employee pastes a contract clause, a customer email or a financial summary into a chat window and receives a helpful answer within seconds. Multiply this across an organisation, and corporate knowledge leaves the organisation every day — in small pieces, without a record.
The costs that do not appear on an invoice
The subscription price of a public AI tool rarely reflects its full cost to the business:
- Loss of visibility — the organisation cannot tell which knowledge has been shared, by whom, and where it now resides.
- Governance effort — legal, security and data protection teams must assess tools, terms and usage after the fact.
- Shadow adoption — when approved alternatives are missing, usage continues informally.
- Inconsistent answers — generic tools lack the organisation’s context, so outputs require extensive checking.
Blocking is not a strategy
Prohibiting AI use rarely works for long. Employees adopt AI because it helps them do their work. The sustainable answer is to provide an alternative that is at least as useful and keeps knowledge under control.
A controlled alternative
Private AI deployed at the organisation’s premises offers that alternative. Knowledge stays within the controlled environment; access follows the permissions the organisation defines; AI Agents are configured to the organisation’s actual work.
With Xentron, this capability is provided as a monthly service, including the infrastructure, its deployment and ongoing support.
Key takeaways
- The largest costs of public AI use are loss of visibility and control, not licence fees.
- Prohibition without an alternative drives shadow usage.
- Private AI makes responsible AI adoption the easy path.