The challenge
The adoption of agentic AI is growing exponentially. In practice, however, we often see AI being introduced in a fragmented way. Development teams and business units use their own tools, take out separate subscriptions with external providers such as OpenAI or Anthropic, and experiment without central governance.
This results in:
Loss of data sovereignty
Sensitive business information may unintentionally be transferred to foreign hyperscalers.
Unpredictable costs
Organisations lack an overarching view of token usage and often pay for overlapping licences because there is no centralised insight or control.
Security and compliance tasks
Without clearly defined guardrails, organisations cannot guarantee that AI applications operate securely, reliably and in accordance with sector-specific regulations.
Limited scalability
Building and managing a secure AI infrastructure requires specialist expertise and dedicated platform teams. For many organisations, this is neither practical nor financially viable.
