Linear pipeline
Sequential execution of operationally typed stages. Each stage's output is the next stage's input. Suited to deterministic ingestion-to-dispatch flows.
Automation
Ad360 turns advertising work into composable, triggered, governed, and observable workflows. Operators compose execution as policy-aware workflows — not as ad-hoc operational handoffs across teams and systems.
Composition
Executable workflow primitives
Triggers
Event-driven activation surface
Orchestration
Concurrent runtime execution
Governance
Policy and approval routing
Synchronization
Distributed state coherence
Telemetry
Workflow observability
Operators compose executable workflows from a small, well-typed set of archetypes. Each archetype is independently observable, individually governable, and composes cleanly with the others into multi-stage execution sequences.
Sequential execution of operationally typed stages. Each stage's output is the next stage's input. Suited to deterministic ingestion-to-dispatch flows.
Concurrent execution across independent branches that converge at a deterministic join. Suited to multichannel dispatch and parallel signal processing.
Branch selection driven by explicit predicates against operational state. Suited to policy-aware execution paths and exception handling.
Cyclic execution with explicit interval, condition, or termination predicate. Suited to optimization feedback loops and telemetry reconciliation.
Every workflow execution begins at an explicit trigger. Triggers are themselves operational primitives — observable, policy-aware, and governed. There are no implicit activations.
Time-based activation via cron expression, fixed interval, or operational calendar.
Activation on operational events: signal arrival, state change, threshold breach, or integration-layer message.
Activation on predicate evaluation against operational telemetry, segment state, or governance context.
Operator-initiated activation with audited identity, justification, and approval routing where required.
The orchestration runtime executes workflows concurrently across operational lanes. Each lane is an independent execution context — observable, governed, and synchronized through the platform's shared state layer.
Governance is enforced as a transverse property of the runtime — policy is validated, approvals are routed, authority is scoped, and every operational decision is captured for audit.
Workflows are validated against active policy at composition, trigger, and execution time. Policy violations halt execution and route to operator review.
Sensitive operational steps route to explicit approvers through governed approval chains. Approvals carry audited identity and explicit justification.
Operators retain explicit role-bounded authority over what runs, where, and under which constraints. Authority is enforced at runtime, not at the interface.
Every workflow event — composition, trigger, dispatch, approval, completion — is captured to an immutable, queryable audit log.
Workflows operate across distributed runtimes. Synchronization, telemetry feedback, replay, and reconciliation keep operational state coherent without forcing centralized chokepoints into the execution path.
A shared operational state layer keeps distributed workflow lanes synchronized on identity, segment, and execution context.
Execution telemetry propagates into optimization models, routing decisions, and pacing controllers through closed feedback loops.
Workflow events are replayable from the audit log. Replay is used for state recovery, debugging, and historical reconciliation.
Periodic reconciliation workflows resolve drift between distributed runtime state and the canonical operational state.
Discuss workflow composition, governance constraints, managed execution support, or runtime behaviour directly with engineering.