Krista LLM Access sits between your employees and every licensed model. Krista routes each prompt to the right model based on cost, speed, accuracy, and safety enforcing DLP rules before any prompt leaves. Krista tracks who consumes the most tokens and reports spend by role and department. Finance gets the line items. Leadership gets the answer the invoice never provided.
You bought the enterprise plan. You can see the total. But the line items stop there. You cannot tell which teams are generating value, which roles are running premium models for routine work, or whether the budget is producing anything worth renewing. The models are being used. You just cannot prove the value.
The cost compounds fast when employees have unconstrained access to every model tier. They default to the most expensive one. Tokenmaxxing is the industry name for it: using a flagship model for every task regardless of complexity. The burn accelerates quickly. Even OpenAI's leadership acknowledged that AI cost went from a non-issue to a top enterprise concern inside a single year.
Krista LLM Access sits between your employees and every model they already use. Each prompt routes to the appropriate model based on cost, speed, quality, and safety. Role budgets are enforced as they fill. Every interaction is logged by user, role, and cost. Finance gets the report. Leadership gets the answer the invoice never provided.
One deployment gives leadership the visibility, cost control, and audit trail the license agreement never provided.
Krista tracks token consumption by user, model, role, and department. Reports deliver the line items finance expects from a cloud bill. Leadership can see which teams drive AI cost and whether the spend aligns to value.
Krista selects the appropriate model for each request based on cost, speed, accuracy, and safety. Routine work routes to the most cost-effective model for the task. Complex work that needs frontier reasoning routes to premium. The employee does not choose. Krista optimizes automatically.
Krista logs every interaction: model used, policy decisions applied, tokens consumed, and cost. Security teams have what they need for a compliance review. Finance gets spend broken down by user, role, and department. The audit log is immutable.
Role budgets are enforced as each budget fills. Krista warns and applies graceful model tiering, moving work to less expensive models instead of cutting access off. Expensive models are disabled for a role as it nears its cap. No one opens a surprise bill.
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No. Routers are developer API proxies that wire models into applications, usually with hard-coded routing. Krista LLM Access is an employee-facing governed surface that controls who uses which model, routes intelligently, enforces guardrails and DLP, manages budgets, and keeps an audit trail.
Those are developer gateways focused on integration or observability. Krista LLM Access governs employee LLM use end to end and adds intelligent routing, role-based topic policy, contained private inference, and workflow integration.
Yes. DLP and content-security findings are mapped to NIST, SOC 2, and OWASP.
Krista scores models on capability and real enterprise usage and routes each prompt to the best fit on speed, accuracy, cost, and safety. The employee does not pick the model.
Krista LLM Access warns as the budget fills and applies graceful model tiering, moving work to less expensive models rather than cutting access off.
A single license standardizes one tool. It does not route across models, enforce role budgets, redact sensitive data, or produce an audit trail, and it does not govern the other tools employees already use.
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