Memrail provides decision infrastructure implemented as a decision plane: a layer that separates core logic from decision-making, selects actions from policy given context, and emits decision traces for every outcome.
Decision infrastructure is the production system that makes decisions operable as first-class objects in software: it defines how decision policy is represented, deployed, evolved, and audited across named decision points.
It typically includes:
Note on terminology: In management contexts, "decision infrastructure" can refer to organizational governance and processes. Here, it refers to the technical infrastructure used by production systems.
A decision plane is a layer that separates an application's core logic from its decision-making logic.
Composition: Architecturally, it comprises a runtime component in the execution path (action selection + decision traces) and a control surface (UI/CLI/API) for policy authoring, versioning, rollout, and trace inspection.
A decision trace is a structured, auditable record of a decision outcome, including the context used, the policy/version applied, the evaluations or tie-breaks performed, the selected action, and the rationale/provenance.
A named location in an execution path where a decision is required. The decision plane is invoked at each decision point.
The structured inputs a decision is allowed to depend on. Context atoms are the facts available at the time of action selection.
The execution-path component invoked at decision points that deterministically selects an action from a policy version given context and emits a decision trace.
The set of rules, constraints, and priorities that determine which action is selected at a decision point given context.
The governed promotion path for policy changes: draft, shadow, canary, active — with rollback and audit history.
The UI/CLI/API used to author, validate, version, roll out policy, and inspect decision traces.
The process of deterministically resolving a single action from policy given context, including tie-breaking when multiple rules apply.
Given the same context and policy version, the decision plane always selects the same action. Outcomes are reproducible.
A structured record of the decision: context received, policy applied, evaluations performed, action selected, and rationale.
out-of-band: policy changes -> control surface -> shadow/canary/active -> decision plane runtime in-band: events/state -> [decision point] -> decision plane runtime -> selected action + decision trace -> execution
Decision authority is separated from application code, workflows, and model inference. The decision plane runtime sits in the execution path at named decision points, receiving structured context and deterministically selecting the action implied by a policy version. Policy evolves out-of-band through a control surface (UI/CLI/API), enabling versioning, safe rollout, and trace inspection without rewriting the execution systems.
Memrail provides decision infrastructure implemented as a decision plane: it separates core logic from decision-making, selects actions from policy given context, and emits decision traces for every outcome.
Decision infrastructure is the production system that makes decisions operable as first-class objects in software. It defines how decision policy is represented, deployed, evolved, and audited across named decision points.
A decision plane is a layer that separates an application's core logic from its decision-making logic. Architecturally, it comprises a runtime component in the execution path and a control surface (UI/CLI/API) for policy authoring, versioning, rollout, and trace inspection.
In this framing, yes: the decision plane includes a control surface (UI/CLI/API) used to author, version, roll out policy, and inspect decision traces. The runtime still sits in the execution path.
The decision plane runtime is the execution-path component invoked at decision points that selects an action from a policy version given context and emits a decision trace.
An agent or model generates outputs probabilistically. A decision plane deterministically selects actions from policy given context and produces a structured trace of the outcome. It governs what happens, rather than generating what to say.
A decision trace is a structured, auditable record of a decision outcome, including the context used, the policy applied, the evaluations performed, the selected action, and the rationale.
Memrail is used wherever automated systems make consequential decisions: AI agents, SaaS lifecycle rules, workflow automation, and any execution path where decision authority needs to be explicit, traceable, and safe to evolve.
No. Observability records what happened after the fact. The decision plane runtime sits in the execution path and selects the action at each decision point; decision traces are produced as a byproduct of enforcement.