Workflow and agent systems can route tasks and invoke tools. Vidamonti controls the institutional decision between recommendation and effect, turning policy, evidence, authority, review, exceptions, permitted action, and records into reusable runtime infrastructure.
A task assignment or tool invocation is not institutional authorization. Vidamonti resolves the control state that determines whether the workflow can proceed, requires evidence, enters review, escalates, holds, or stops.
Vidamonti resolves rules and evidence, determines the applicable authority path, exposes only permitted actions, routes unresolved states into review or escalation, and preserves the material state from recommendation through final disposition.
Vidamonti evaluates every consequential transition. The workflow does not advance because a model is confident or an integration is technically permitted. It advances because the required institutional state is resolved.
Identify the real institutional action and the operating context around it.
The AI can recommend. That does not make the recommendation authorized.
Policy state changes with workflow, jurisdiction, threshold, and exception.
Missing or conflicting evidence can route the workflow to a controlled next state.
Approval rights remain distinct from system access and model confidence.
Recommendation, review, exceptions, authorization, and outcome stay connected.
Vidamonti keeps missing evidence, policy conflict, unavailable authority, threshold changes, degraded conditions, and stop states inside the operational control path.
Workflow, identity, GRC, observability, model governance, and agent systems can each contribute important state. By themselves, they do not resolve the complete institutional authorization boundary. Vidamonti connects their relevant state to the people and downstream systems that can create institutional effects.
Models, agents, data sources, and operational systems contribute the material state of the decision.
Vidamonti resolves what conditions must be true before the workflow can advance.
Authorized reviewers receive the information and actions needed to exercise judgment.
The boundary between recommendation and institutional action remains explicit.
Reuse decision states, authority patterns, exception handling, and record structures while adapting policy, evidence, consequence, and deployment conditions to each workflow.
Bring the recommendation source, policy and evidence state, authority model, exception paths, downstream actions, and record requirements into a controlled platform evaluation.