what is an example of ai orchestration?

example one: a support ticket, end to end

1. Trigger. A ticket lands in the queue.
2. Classify. A small cheap model tags intent and urgency. Cost per call: fractions of a cent.
3. Retrieve. The relevant policy, past tickets, and this customer's account state.
4. Draft. A larger model writes a reply using only what was retrieved.
5. Validate. Rules check for promises the company does not make, refunds over a threshold, and missing citations.
6. Route. High confidence sends the reply. Low confidence, or anything with money in it, goes to a person with the draft attached.

The orchestration is steps two through six: what runs, in what order, with what data, and what happens when confidence is low. The models are components. The value is in the sequencing and the escape hatch.

example two: a document pipeline

An invoice arrives as a scan. Extract fields with a vision model, validate against the purchase order, reconcile line items, flag differences, and either post it or queue it for review. Fixed path, deterministic, no agent needed. Cheap, fast, auditable.

This is orchestration in the pipeline sense, and reaching for agents here is the most common expensive mistake in the category. When the path is known, a diagram beats a decision maker every time.

example three: shipping a feature

A feature request lands in a backlog.

A planner reads it, inspects the codebase, and splits it into four tasks with an order. One engineer takes the migration, another takes the endpoint that depends on it and waits. A reviewer reads both diffs against the standard and rejects one with a specific reason. The engineer revises. The reviewer passes it. The planner reports it ready.

Nobody drew that path in advance. The number of tasks, their order, and the review round trip were all decided at runtime. That is agentic orchestration, and it is the version of the word most people now mean.

what the three share

All five orchestration questions get answered somewhere, whether or not anybody wrote them down: what runs next, what data it gets, what happens on failure, when it is finished, and what is recorded. The difference between the examples is only who answers the first question: a diagram, or an agent.

how this works in aldena

The third example is what aldena does. You staff a room from eleven prebuilt roles and set who reports to whom in an org chart, and a manager decomposes and delegates down its own line without you writing routing code.

The escape hatch from example one is built in: anything irreversible stops at an approval gate that is on by default, with the work paused where it stopped rather than restarted. Shared room memory, 100 entries every agent reads, is what stops the reviewer working from a stale version of the conventions.