Enterprise Ai
- Private Intelligence with managed models, databases, and more
- Knowledge Base capabilities for a private enterprise GPT
- Business Intelligence with natural-language querying
- LLM Spend Optimization to reduce waste
- Policy Engine for centralized governance
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AI Infrastructure Built for Enterprise Reality
The Problem
Enterprises face unpredictable pricing, identity misalignment, access-control failures, and cloud-only deployments that can’t respect security or compliance needs. Hidden meters, outdated models, and slow innovation create uncertainty.
The Architecture Failure
It’s not about features—it’s about architecture. Enterprises need AI that honors real-time permissions, integrates with identity flows, enforces policy at every step, and delivers predictable economics instead of surprise invoices.
The Robot Solution
A private-cloud AI layer on dedicated hardware with flat pricing, identity-first design, real-time permission validation, and built-in policy enforcement. Knowledge retrieval and BI workflows run through the same secure, governed environment.
Private Intelligence Platform
- The Challenge
Enterprises need AI they can actually govern—deployed in a controlled environment where data stays protected, access is enforced, and model behavior is transparent, predictable, and compliant from end to end.
- The Solution
A sovereign platform deployed in secure colocation, providing compute, models, storage, and orchestration under full customer ownership. All model usage — including ChatGPT and Grok — is logged, governed, and isolated.
Knowledge Base
- The Challenge
- The Solution
A governed knowledge assistant for employees and customers, grounded exclusively in your documents, website, and internal systems. All external AI applications (e.g ChatGPT, Grok) are routed through logged, policy-controlled gateways.
Business Intelligence
- The Challenge
- The Solution
A natural-language BI layer that answers questions instantly across databases and spreadsheets. Enables automated reporting, workflow triggers, and role-based, governed access to insights.
LLM Spend Optimizer
- The Challenge
- The Solution
A turnkey router that chooses the most efficient model (local or cloud), optimizes prompts, and eliminates redundant calls. Integrates with the platform’s audit and policy system for ChatGPT and Grok.
Policy Engine
- The Challenge
- The Solution
A centralized policy layer that governs data access, retention, and segmentation—plus LLM usage across providers like ChatGPT, Grok, and Meta. Delivers role-based controls and complete audit logs for compliant, accountable AI.
Governed AI: Quick Answers
365 Data Centers AI Services help enterprises deploy AI with stronger control over security, compliance, identity, and cost predictability. The platform is designed for governed usage, auditability, and reliable infrastructure—so AI can move from experimentation to operations. Explore supporting infrastructure via Colocation Services and Network Services.
Public AI tools can create risk through data leaving your environment, inconsistent access controls, and unpredictable usage-based billing. 365 emphasizes a governed architecture built for enterprise requirements like policy enforcement and audit logs, while still enabling modern AI workflows. See how it fits into broader Cloud Solutions.
The Private Intelligence Platform is a managed, virtually on‑prem AI environment that can include models (including OpenAI, Grok, and Meta), databases, vector databases, AI indexing, and an agent-runtime layer. It’s designed to operationalize AI with governance and control. Learn more about deployment options on Facilities & Network.
An enterprise AI knowledge base is a private assistant that answers questions using your approved content—documents, websites, and internal systems—so teams get faster, more consistent responses. A governed approach improves trust, reduces risk, and supports compliance. Pair it with operational support via Managed Services.
The LLM Spend Optimizer reduces waste by routing requests to the most efficient model, optimizing prompts, and eliminating redundant calls—while keeping usage governed and auditable. This helps prevent cost spikes as adoption grows and keeps performance consistent at scale. Learn more about private deployment options via Colocation Services and Facilities & Network.
Talk to 365 Data Centers about deploying governed, cost-predictable AI infrastructure—built for enterprise control from day one.
