AI vendor management

Manage every AI vendor from one place.

A multi-model architecture that lets your IT and vendor-management teams compare models on real performance, track spend in a single view, and avoid betting your bank or credit union on any one AI provider.

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What you control
  • Spend across every model in one view
  • New models evaluated without new pilots
  • No lock-in to a single AI provider
  • Custom and RAG models under the same roof
  • Fast provisioning and de-provisioning
ChatGPT Claude Copilot Gemini Grok Perplexity Open Models Custom Models + RAG
Vendor management targets

Stay current and in control as the AI market shifts.

New models arrive every few months. Your vendor process shouldn't have to start over each time.

Cost visibility

Spend in a single view

Simplified cost tracking across every model, with no reconciling separate invoices from separate providers.

Evaluate fast

Assess new models without new pilots

Assess new models, including custom and RAG, without spinning up a separate pilot for each one.

Real performance

Judge by results, not marketing

Evaluate each model on observed performance in your environment, rather than on vendor claims.

Concentration risk

Avoid lock-in

The multi-model architecture addresses concentration risk, so you're never locked in to a single AI provider.

Custom & RAG

Bring your own assistants

Connect custom assistants and RAG models alongside commercial ones, managed under the same roof.

Provisioning

Provision and de-provision fast

Grant or revoke access to AI tools quickly across your bank or credit union, keeping your vendor footprint as wide as you intend.

Third-party risk

Answers for your vendor-management and risk committees.

AI vendors are third parties like any other. Here is how a multi-model platform changes the questions you have to answer.

Security & compliance
What if our main AI provider fails us?Concentration risk
Your staff work across several models in one portal, so no single provider becomes a point of failure.
How many AI vendors do we have to assess?Due diligence
One platform vendor instead of a separate subscription per model, backed by a SOC 2 Type 2 report.
What are we spending on AI, and where?Cost oversight
Spend across every model is tracked in one view.
How do we decide whether to adopt a new model?Model evaluation
Assess it in the same portal, on observed performance in your environment, without a separate pilot.
Who has access to which AI tools?Access management
Access is granted and revoked centrally, so your footprint matches your intent. See AI guardrails.
Stay current

Expert guidance instead of assessing every tool yourself.

Lean on expert relationships to stay current, rather than waiting on an internal IT assessment of every new AI tool. Our recommended-models guide shows which model we suggest for which kind of work today.

When you approve a new model, your IT team adds it once in the provider settings and it appears for the right groups, alongside the models you already run.

Recommended AI models AI implementation & rollout
Customers

What customers say about one platform for every model

“MultiModel gives us access to the leading LLMs under one roof, with complete peace of mind on confidentiality and no juggling of multiple subscriptions.”
Ken ChoiCFO, Sprucegrove Investment Management
“The AI portal allows employees to use and test GenAI capabilities in a sandboxed and controlled space rather than circumventing company policies and controls. Our experience has been fantastic.”
Candice SmartEVP, Information Security, CBS CUSO
“We are very happy with our MultiModel experience. They have made staying on top of AI easy and simple for our team.”
Marie WhiteCIO, APL Federal Credit Union
FAQ

AI vendor management: FAQ

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

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How does MultiModel reduce AI concentration risk?

MultiModel is built on a multi-model architecture. Your staff use ChatGPT, Claude, Copilot, and other models through one portal, so you are never locked in to a single AI provider. If one provider changes terms, pricing, or performance, you can shift work to another model without re-platforming.

How is AI spend tracked?

Costs across every model are tracked in one view, so there is no reconciling separate invoices from separate providers.

Can we evaluate a new model without running a new pilot?

Yes. Because every model sits in the same portal, you can assess new models, including custom and RAG models, without spinning up a separate pilot for each one. You judge each model on its observed performance in your environment rather than on vendor marketing.

Can we add our own custom assistants or RAG models?

Yes. Custom assistants and RAG models connect alongside commercial ones and are managed under the same controls. See RAG models for AI.

How quickly can we grant or remove access?

You can quickly grant or revoke access to AI tools, and add or remove users, across your bank or credit union, so your AI vendor footprint stays exactly as wide as you intend.

What do you provide for our third-party risk review?

One vendor to assess instead of a separate subscription per model. For due diligence we provide our SOC 2 Type 2 report and complete your security questionnaires. See Security & Compliance.

Simplify your AI vendor footprint.

Bring your current list of AI tools and subscriptions. We'll show you how they fit under one governed platform.

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