Access and budgets
Defines permissions, limits, and available models for teams, projects, or environments.
AI transformation for companies
Control access, data, and the cost of company AI
We implement shared policies for integrated applications and teams, giving you cost visibility, model access control, and an event log.
- Budgets and permissions for teams and projects
- Data-protection rules in connected workflows
- Usage monitoring, reports, and alerts
A control layer for connected AI solutions
Data-protection rules
Enforces policies in integrated workflows and records events required for audits.
Usage visibility
Shows use, cost, and anomalies while delivering reports and alerts to the right people.
Control where AI is connected
AI Guard covers integrated applications and workflows. We do not promise automatic control of tools operating outside that scope.
FAQ
What is AI transformation in a business?
AI transformation is a structured process for selecting, implementing, and measuring solutions that use artificial intelligence. It starts with a business problem, available data, and a success metric instead of purchasing an isolated tool.
Where should a company start with AI implementation?
The safest starting point is an audit of processes, data, and current systems. We then select a high-value use case with manageable risk and validate it through a focused pilot.
Does AI implementation require replacing current systems?
Usually not. AI can be integrated with an existing e-commerce platform, CRM, helpdesk, knowledge base, or operational system through APIs and controlled data flows.
How should the impact of AI be measured?
Success metrics are defined before the pilot. They may include handling time, manual work removed, answer accuracy, process cost, escalation rate, or team adoption.
Do you provide support after launch?
Yes. After launch, we monitor quality, cost, and failures, maintain integrations, and improve the solution using real usage data and feedback from the team.