Put model reasoning inside a system your engineers can inspect.
MCOS separates authoritative evidence, deterministic extraction, model reasoning, policy enforcement, and institutional memory so consequential logic does not disappear inside a single probabilistic runtime.
MCOS control plane
Operational evidence
Authoritative inputs
Deterministic extraction
Facts before model reasoning
Protocol reasoning
Repeatable consulting logic
Governance enforcement
Policies and approvals
Institutional memory
Durable operating context
Architecture principle
The model is not the control plane.
Probabilistic reasoning is useful for interpretation. It should not silently own source truth, approval authority, policy enforcement, and historical record at the same time.
Evidence plane
Authoritative source material and structured facts remain independently inspectable.
Reasoning plane
Models interpret evidence inside protocol boundaries and produce structured analytical outputs.
Control plane
Rules, approval requirements, and governance state decide what may proceed.
Memory plane
Validated business context and decision history persist beyond any single run or provider.
Five layers
Clear responsibility at each stage.
Operational evidence
Authoritative inputs
Documents, conversations, contracts, system exports, and other enterprise evidence enter through protocol-specific inputs.
Deterministic extraction
Facts before model reasoning
Source-native facts, entities, calculations, and structured fields are extracted with explicit rules before interpretation is introduced.
Protocol reasoning
Repeatable consulting logic
Model reasoning operates against grounded evidence inside a defined protocol instead of acting as the system of record for consequential facts.
Governance enforcement
Policies and approvals
Sentinel can evaluate rules, required evidence, approval state, and policy constraints before governed actions are released.
Institutional memory
Durable operating context
Validated outputs, decision state, relationships, and operating knowledge can persist independently of the model that produced an interpretation.
Engineering review
Questions your architecture team should be able to answer.
Can we identify the source of a consequential fact?
Evidence provenance and source-linked records.
Can we reproduce the same deterministic calculation?
Explicit extraction and calculation logic.
Can a model bypass an approval or policy boundary?
Sentinel separates enforcement from model reasoning.
Can we replace the model provider without losing the operating logic?
Protocols, records, and institutional memory remain client-controlled.
Can we reconstruct why an action was allowed?
Decision state, evidence, policy checks, and approvals remain inspectable.
Integration posture
Fit MCOS around the enterprise—not the other way around.
API-oriented
Structured inputs and outputs support integration with downstream systems and enterprise workflows.
Model-swappable
The model is a reasoning component. The evidence layer, protocol logic, and governance record remain separate.
Control-aware
Approval authority and policy checks can remain outside probabilistic model execution.
Deployment-flexible
MCOS is designed to support managed, cloud-aligned, and more controlled deployment postures as requirements increase.
Technical diligence
Inspect the system before you trust the output.
Review the documentation, sample deliverables, and governance model, or bring us a concrete architecture question.