Mainstreet AI

Enterprise AI Chat

Enterprise AI Chat for Company-Wide AI

We build and manage one approved AI workspace inside your existing controlled environment, connected to company knowledge, tools, agents, and usage economics your team can see.

When AI chat becomes business infrastructure

AI is becoming mission-critical. Control the layer your company uses every day.

  • 01Employees are already using AI, and IT needs one approved place to manage access, permissions, logging, tools, and data boundaries.
  • 02Leaders need control over how AI fits company culture, processes, systems, data strategy, and daily operations.
  • 03Finance needs usage visibility and model routing so frontier-model power is reserved for work that justifies the cost.

What the AI front door gives you

Your team gets a familiar AI chat experience, built around your business context, access rules, approved sources, infrastructure, agents, and tools.

The result is not a generic chatbot or another seat plan. It is the front door to your company AI system, with subscription coverage and usage economics you can see and optimize.

Enterprise AI Chat Offering Matrix

One managed offering: chat, model behavior, Azure foundation, and support.

01 - Enterprise AI Chat

The front door for company-wide AI.

For organizations that need one approved AI front door tied to business data, access rules, agents, tools, and Azure infrastructure, without per-seat license math.

Ongoing costs
License + subscription
$1,500/mo
Organization-wide access
One-time costs
Implementation + setup
$10,000
Billed once
Optional launch training
$5,000 remote$10,000 in person
Billed once when selected
Optional ongoing services
Managed service
$5,000/mo
Support, improvement, and governance
Chat experience
A branded, private AI chat interface for your team
OutputOne approved place to ask, draft, summarize, analyze, and use tools
Model layer
Model access, routing, instructions, tools, and response standards
OutputAI behavior shaped around business use cases, cost, and performance
Azure foundation
Storage, retrieval, identity patterns, permissions, and logging in Azure
OutputA deployment path aligned with your infrastructure and controls
Managed service
Support, upgrades, prompt and retrieval tuning, evaluations, enablement, and cost governance
OutputA chat app that stays current and keeps improving after launch
Book a Call

Next step

See what Enterprise AI Chat could look like inside your business.

In 30 minutes, we can map the first users, approved knowledge sources, Azure requirements, and use cases worth launching first. If it fits, we will turn that into a clear build scope.

Book a Call