Platform / RiGi Group
Model Agnostic
Keep model selection adaptable as providers, capabilities, and economics change.
WWAIOS / Model Agnostic
The role of model agnostic in a governed workflow
Keep model selection adaptable as providers, capabilities, and economics change.
09 / 09
Capabilities
What the layer is designed to handle
Compare options on your own workload and evaluation criteria.
Retain policy and audit context when routing changes.
Operating pattern
A control path you can inspect
- 01Define the input, context, and authorized purpose.
- 02Connect hosted, open, and self-managed models through adapters.
- 03Compare options on your own workload and evaluation criteria.
- 04Capture the result, exception, and owner for review.
Questions for architecture review
What would change your decision?
Ask which evidence is current, which control actually executes, who owns an exception, and where a human must approve an action.
Explore
Adjacent layers
AI HarnessBind model interactions into a defined runtime with shared controls and observable behavior.↗AI Decision EngineDescribe decision paths, policy conditions, and approval points as explicit workflow rules.↗AI GuardrailsApply runtime checks around sensitive data, unsafe requests, and output constraints.↗AI Knowledge BaseConnect retrieval to governed sources so answers can point back to what supports them.↗
A closer look / Model Agnostic
From question to evidence to decision.
Use this framework to discuss the actual workflow and the proof needed to move forward.
01 / Situation
A provider choice can change with quality, availability, economics, or data-residency needs.
02 / Approach
Keep decision policy and evidence independent of a specific model adapter, then route by task-specific criteria.
03 / Evidence
Use the same evaluation corpus and control checks when comparing hosted, open, and self-managed options.
04 / Next decision
Treat portability as a tested property for a workload, not a universal promise.