AI implementation & rollout

Governed AI live in your Azure tenant in about 30 minutes.

A low-lift rollout for your bank or credit union's IT team. Deploy the leading AI assistants into your own Azure cloud with Microsoft login, give your staff a ready-made prompt library, and keep a single path for support.

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What your IT team gets on day one
  • Models deployed into your Azure cloud
  • Sign-in through Microsoft 365 / Entra ID
  • 200+ ready-to-use prompts for your staff
  • One escalation path for every model
  • Your organization's URL and branding
ChatGPT Claude Copilot Chat Gemini Grok Perplexity Open Models Custom Models + more models
The rollout

What it takes to get your institution productive with AI.

Measured in minutes, not quarters. Each piece is designed to reduce the work that lands on your IT team, before and after go-live.

Fast setup

About 30 minutes to deploy

Initial setup deploys ChatGPT, Claude, Copilot Chat, and other models into your Azure cloud, with M365 / Entra login from the start.

Day-one value

A prompt library built for the job

Your staff get hundreds of practical AI use cases from day one, so adoption starts the moment the portal goes live.

Adoption support

Early adopters bring others along

Collaboration and prompt-writing tools let your early adopters help late adopters get up to speed quickly.

One support path

A single escalation path

One escalation path for platform issues, instead of separate relationships with each model provider.

Scales with you

Grow without re-platforming

Add assistants, models, and users as adoption expands, on the same compliant AI portal.

Your brand

Your organization's URL and branding

Roll out under your own URL and branding, so the portal feels like part of your internal toolset from day one.

By the numbers

A rollout your IT team can actually staff.

30 min
Initial setup
200+
Ready-to-use prompts
1
Escalation path for all models
Built for IT ownership

Inside the environment you already govern.

Because the models run in your Azure cloud and staff sign in with Entra ID, the rollout builds on controls your security team has already approved. There is no new identity system to manage and no consumer AI accounts to chase down.

  • Deployed into your Azure cloud, with hybrid and on-premise options
  • Access tied to your existing Microsoft identity
  • New models and users added on the same platform
  • ChatGPT, Claude, Copilot, and Gemini deployments managed on one settings page
AI on your network Azure price estimate
After go-live

The rest of the IT toolkit.

Deployment is the first step. These solutions help your team manage vendors, build skills, and report on adoption once the portal is live.

AI for banking

AI vendor management

Track spend across every model in one view and avoid concentration risk in a single AI provider.

Vendor management

Training for your team

Portal onboarding, prompt-writing workshops, and executive readiness sessions.

AI training

Measurement & reporting

An executive dashboard for adoption and risk, with risk scoring on every prompt.

Measurement
FAQ

AI implementation & rollout: FAQ

Straight answers for CIOs, CISOs, and compliance officers evaluating AI.

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How long does the initial deployment take?

Initial setup takes about 30 minutes. That covers deploying ChatGPT, Claude, Copilot Chat, and other models into your Azure cloud with Microsoft 365 / Entra ID login. You can then add staff training and adoption reporting to turn access into everyday use.

Does MultiModel run in our own Azure tenant?

Yes. The portal and your models are deployed into your Azure cloud, so AI activity stays inside the environment your security team already governs. Use the Azure price estimate to size usage costs, and see AI on your network for hybrid and on-premise options.

How do our employees sign in?

Through the Microsoft 365 / Entra ID login they already use. There are no personal or consumer AI accounts to track, and access follows your existing identity system when people change roles or leave.

Who do we call when something goes wrong?

MultiModel. You get one escalation path for platform issues across every model in the portal, instead of separate support relationships with each model provider.

Can the portal carry our institution's branding?

Yes. You can roll the portal out under your own organization URL and branding, so your staff see it as part of their internal toolset rather than another outside website.

What happens as adoption grows?

You add assistants, models, and users on the same platform. The architecture is designed to grow with your needs without re-platforming, and new models inherit the controls you have already approved.

Plan your AI rollout with us.

Tell us about your Azure environment, your identity setup, and the teams you want to start with. We'll walk your IT team through the deployment.

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