Every team chooses a different endpoint
Centralize allowed and denied model decisions while preserving provider choice for approved workloads.
Model and cost governance
Give every team AI access without giving up control.
Define approved models by tenant, team, application, user, and environment; measure provider usage and estimated cost; and apply the same content controls across cloud, private, and local models.
Why teams act
AI adoption creates a new control surface. Put enforcement in the path.
Entrovik gives security, platform, compliance, and application teams a shared technical boundary without coupling enterprise policy to one provider SDK.
Provider invoices lack business context
Attribute token usage and estimated cost to tenant, application, team, and principal with configurable pricing tables.
Resilience changes the risk profile
Make fallback models and cheaper-route actions part of explicit governance instead of hidden application behavior.
Enforcement model
Central policy with application-level context.
Every decision can use normalized content plus tenant, identity, team, application, provider, model, stage, and configured policy metadata.
01Scoped allowlists
Apply model policy using tenant, identity, application, team, and environment metadata available to the pipeline.
02Cost limits
Configure daily and monthly limits with warn, deny, or route-to-cheaper-model behavior.
03Provider independence
Normalize provider inputs and outputs so common enterprise rules remain portable across adapters.
04Central analytics
Track requests, blocks, redactions, failures, tokens, and estimated cost without returning secret values.
In the request path
One decision lifecycle. Every interaction.
Policies remain modular packages. The core resolves, executes, contains, explains, measures, and audits them.
- 01
Authenticate the API client or corporate identity and resolve its tenant, application, roles, and teams
- 02
Evaluate request, model, and cost policy before selecting the configured provider adapter
- 03
Route only to an approved active provider and effective model
- 04
Capture normalized usage reported by OpenAI, Anthropic, Gemini, or compatible endpoints
- 05
Expose tenant-scoped analytics and audit evidence to authorized administrators
Technical FAQ
Questions teams ask before deployment.
Does Entrovik force one provider?
No. It creates a consistent governance layer across approved providers and model families.
Are pricing tables hard-coded?
No. Model input and output rates are deployment configuration so finance teams can update estimates without changing gateway code.
Can interns and engineers have different model access?
Yes. Teams, principals, applications, roles, and tenant metadata provide the scope needed by model policies.
Does Entrovik retry or silently change models?
Not by default. Non-idempotent AI requests are not blindly retried, and routing changes must be explicit policy outcomes.
Put it in front of a real workflow
Turn your AI policy into an enforced decision.
Bring one provider path, one policy requirement, and the architecture your reviewers need to trust.