Guard · Model Choice

The right model for each task, so premium is by exception.

Model Choice routes each request to the right model for the task under your rules, so the strongest and most expensive models are used by exception, not by default.

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The problem

When each person chooses, most routine work lands on premium models.

You pay premium prices for routine work and have no control over where it goes.

56%

of AI spend goes on premium models, which account for 46% of tokens

Ramp AI Index, April 2026 (vendor data)

What you get

The benefits of Model Choice.

The right model for each task, set once

Lower cost for the same work

Any model, so you are not tied to one vendor

Who it is designed for

The people who feel the problem first.

CFO and finance

Pay for capability where it matters.

CIO and engineering

Switch and add models without disruption.

COO

Keep momentum while cutting waste.

Where it is used

Three ways teams use Model Choice.

Routine drafting

Send routine drafts to a standard model.

Hard problems

Reserve premium models for work that needs them.

Vendor flexibility

Move between model providers without retraining people.

Part of Guard

Works best alongside.

Cost Meter

Budgets, alerts and forecasts per team and task. Unused seats named.

See Cost Meter Rules

Policy as enforced rules: approved models by task, data type and risk.

See Rules Savings Finder

Finds the saving in your AI spend, in per cent and pounds.

See Savings Finder All of Guard

Systems, controls and process designed with AI agents and aligned to the regulations, your policies and outside policies. Used with Evidence.

See the Guard module

Prices are indicative ranges, confirmed in writing before you commit. Estimates are replaced by your own figures once your health check runs.

See Model Choice working on your business.