Identity + authority
Which agent/service acted, for whom, and what it was allowed to do.
LoopGrid is most useful where an AI system can change real business state. Start with one workflow where authority, policy, human oversight and the downstream outcome need to remain reconstructable after the fact.
The industry changes, but the evidence question is consistent: who or what acted, under which authority and policy, what oversight occurred, which external action was attempted, and what the downstream system reported happened.
Preserve evidence across lender, vendor and loan-system boundaries without turning LoopGrid into an underwriting model.
Explore use case → 02 · FINANCIAL + RISKConnect approval lineage to refunds, payment exceptions, reconciliations, claims and system-confirmed outcomes.
Explore use case → 03 · ENTERPRISE AGENTSPreserve delegated authority and the resulting state change across CRM, identity, service and internal systems.
Explore use case → 04 · VOICE + CUSTOMER OPSComplement native call logs with portable evidence spanning authorization, tool execution and the business system's response.
Explore use case →LoopGrid is not a separate product for each vertical. These pages show different manifestations of the same provider-neutral evidence infrastructure.
Which agent/service acted, for whom, and what it was allowed to do.
Which rule, model context or workflow version applied when the action was proposed.
Approval, rejection, correction or intervention preserved as append-only history.
The external tool request and the result reported by the downstream system.
The fastest evaluation is not a broad governance rollout. Choose one state-changing workflow, one authoritative downstream system, and one concrete question an investigator or customer might ask later.
The agent can move money, modify a record, change access or trigger another consequential operation.
There is a policy, threshold, human approval or business rule worth preserving.
The important evidence spans more than a single dashboard or vendor log.
Start with synthetic data, verify the evidence independently, then decide whether a real integration is worth pursuing.