Choose where each workload and its data should run.

Start with data and decision risk.

Identify sensitive records, latency needs, model capability, expected volume, and the action the output may influence.

Data

Client-confidential documents

Workload

Repeat document classification

ResultA routing requirement grounded in the work.

ILLUSTRATIVE DEPLOYMENT PATTERN

Keep selected work inside your boundary.

A local model can handle repeatable work when measured quality meets the requirement. Documents and prompts remain within the approved local environment.

Candidate

High-volume repeat classification

Verify

Quality, capacity, recovery

ResultA local path with a testable service boundary.

Use an approved service for selected tasks.

A cloud model may fit when a task needs capability or elasticity unavailable locally. Data policy and provider terms still set the boundary.

Candidate

Approved low-volume complex reasoning

Verify

Data handling, retention, cost

ResultA deliberate exception with recorded conditions.

Apply policy before selecting a model.

The router checks the workload class and allowed destinations. Ambiguous requests stop for review instead of silently crossing a boundary.

Allowed

Local document classification

Escalate

Unclassified data or new cloud destination

ResultA visible decision at the local and cloud boundary.

Measure the boundary in operation.

Teams inspect quality, latency, capacity, failures, and route decisions to check whether deployment still matches policy.

Quality and latency

Route and failure logs

Human overrides

ResultEvidence for tuning without relying on a savings promise.