Enterprise AI Control Layer

Turn any AI intoyour enterprise's AI.

One customer-controlled layer between your organization and AI — governing what people, applications, communication services, agents, and tools can access, where they can route, and what they are permitted to do.

Book a briefing How Skris works

European by design. Global by architecture.

Customer environment Outside customer network

Employees

Business apps

AI agents

Skris control layerAI gateway · boundary control
Active

Policy & IAM

Access · profiles · approval

Data firewall

Detect · redact · block

Enterprise context

RAG · prompts · ACLs

Routing

Models · regions · fallback

Audit

Evidence · retention · export

FinOps

Usage · budgets · chargeback

Every decision becomes evidence VM · Docker · Kubernetes

Cloud AI

Private / local

Tools & services

One control standard across

  • OpenAI
  • Anthropic
  • xAI
  • Mistral
  • Gemini
  • Llama
  • Perplexity
  • Ollama
  • AWS
  • Hugging Face
  • OpenRouter

The enterprise control gap

AI adoption is moving faster than enterprise control.

The question is no longer whether organizations will adopt AI. It is whether they can stay in control of it.

AI creates value. Uncontrolled AI creates risk, cost, and blind spots.

Employees

Writing · research · planning

01

Developers

Code · agents · documentation

02

Support

Tickets · answers · knowledge

03

Business teams

Analysis · proposals · operations

04

Internal apps

AI-enabled workflows

05

Agents

Tools · actions · automation

06

More than an AI gateway

Enterprise controls, rebuilt for AI.

Skris brings the controls organizations already expect from critical IT infrastructure into one AI operating layer.

skris / production
Admin

Policies

Policy control center

12 active policies
24h
14.8k Policy decisions
company-wide
08 Profiles
time-boxed
02 Active exceptions
PolicyScopeStatus
Sensitive data · redact Enforced
Approved models only Enforced
EU destination routing Observe
Monthly AI budget Enforced

Control before egress

Your data is controlled before it reaches AI.

Skris evaluates, enriches, and routes AI requests inside your environment — before anything is sent externally.

INPUT

People · apps · agents

Any approved channel

INSIDE YOUR BOUNDARYEVALUATING

Check

Enrich

Route

Allow Warn Redact Confirm Reroute Block

APPROVED

Cloud · private · local

Destination by policy

One policy layer. Every AI interaction. Evidence by default.NO RAW CAPTURE BY DEFAULT

European control without technological isolation

Retain organizational control across a mixed AI estate.

Control deployment, credentials, policy, approved context, provider and regional routes, retention, and evidence—even when approved external models are used. External inference remains subject to that provider's infrastructure and terms.

Deploy on your terms

Run the control layer wherever your enterprise trust boundary is.

ON-PREMISES PRIVATE CLOUD

Provider-agnostic routing

Instantly route across AI providers, regions, and private or local models — by policy, without application changes.

Start focused. Expand deliberately.

Prove the control layer on one valuable workflow.

Begin with a contained use case, establish policy and evidence, then extend the same operating model across the organization.

Request a private briefing See the platform

Example workflow

Support ticket summarization

Observe → control

Step 01

Customer ticket

Step 02

Personal data identified

Step 03

Redact + add approved knowledge

Step 04

Route to approved model

Step 05

Auditable response

Policy outcome: redact + allow Evidence recorded

Take control of enterprise AI

Your AI strategy should answer to your organization.

Start with one AI workflow. Keep control as adoption grows.

Request a private briefing Discuss a partnership