Enterprise AI Governance
AGate — AI Mission Control for Your Enterprise
This page is composed from reusable, unsynced library patterns. Each section below was inserted from the Patterns library and can be edited here freely — without ever touching the original in the library.
The Offer
Governance Delivered as Infrastructure
AGate gives you one endpoint for every model, a compliant chat workspace, and full audit and spend control enforced on each request.
LLM Gateway
Routing · Failover · Load balancing
- One API endpoint for every LLM provider — OpenAI, Anthropic, Azure, Google, AWS, Mistral and more
- Automatic failover and load balancing across models and regions
- Switch models in a single click without changing application code
OpenAI-compatible API + AWS Bedrock endpoint
AChat Workspace
Multi-model · Self-hosted · Branded
- Self-hosted, multi-model enterprise chat, branded as your own
- Teams switch between models in one click
- Connect internal systems via MCP tools for SharePoint, Jira and SAP
AChat + MCP tools (SharePoint, Jira, SAP)
Identity & Access
SSO · RBAC · Single key
- Single sign-on through your existing Entra ID or Okta
- Role-based access controls which teams use which models
- One API key per team — no credentials scattered across repositories
Entra ID · Okta
Audit & Spend
Audit trail · Budgets · Observability
- Every request logged for a complete, exportable audit trail
- Budget caps enforced per user or department
- Live usage and spend observability across every provider
Admin Portal · Grafana
How We Work
Live in 10 to 20 Days
AGate deploys inside your cloud tenant and reaches production in weeks, not quarters — validated on real workflows before you scale it group-wide.
Deploy in your tenant
10–20 days
Install AGate via Terraform inside your own Azure or AWS tenant, connect your existing SSO, and point every AI provider at a single governed endpoint — with no migration of your current models or regions.
Validate on real workflows
Month 2
Switch on monitoring and per-team spend tracking, run failover tests across providers, and review your first audit logs against live traffic — confirming governance and cost controls hold before any wider rollout.
Scale across the org
Month 3+
Roll governed AI out to every team with role-based access and department budgets, then export an audit dossier that maps usage to NIS2, DORA, and GDPR for your compliance stakeholders.
Why Adastra
Built by a Team That Ships Enterprise AI
AGate is enterprise infrastructure built by Adastra — a global AI practice that has put production AI into regulated enterprises for over twenty years.
20+ years in production
Two decades delivering enterprise data and AI means AGate is shaped by real production constraints, not a lab — and the same team ships it every day.
Deep engineering bench
150+ AI engineers and developers stand behind the platform, so you get implementation depth and ongoing support, not just a licence and a docs portal.
Proven at enterprise scale
450+ AI projects delivered across 40+ countries, including banks and life-sciences firms with the strictest security, residency, and audit requirements.
Regulated-industry ready
Governance mapped to NIS2, DORA, MiFID, GDPR, and the EU AI Act, with EU data residency and on-premises options for the most sensitive workloads.
20+
Years in production
150+
AI engineers
450+
AI projects delivered
40+
Countries