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When a burst of new tickets arrives, Neo Agent normally dispatches them in parallel — much faster than processing one at a time. But running dispatch workflows in parallel has historically had a subtle risk: two tickets that arrive seconds apart can both ask the AI “who’s free right now?”, get the same answer, and end up double-booked on the same technician’s calendar.Parallel Dispatch is the safety net that solves that race. It lets your dispatch workflows run fully in parallel for high throughput, while making sure each technician’s calendar slot can only be claimed by one ticket.
Parallel Dispatch is rolling out to clients in waves. Newly created dispatch workflows pick it up automatically as the rollout reaches your account; existing workflows continue to work unchanged. No action is required from you to enable it.
When a Ticket Dispatch action runs with scheduling enabled, Parallel Dispatch quietly:
Reserves the chosen calendar slot the moment the AI picks it, so two simultaneous dispatches can’t both grab the same time on the same technician.
Falls back automatically to the next best technician if the slot was reserved by a peer dispatch a moment ago — without re-running the AI, so there’s no extra latency.
Shows peer activity in the AI’s context so it can prefer technicians who aren’t already being considered by another in-flight ticket.
You won’t see a new setting in the workflow editor. It runs underneath the existing Ticket Dispatch action automatically whenever calendar booking is enabled.
Concurrent dispatches that pick overlapping slots used to fail quietly — both tickets ended up on the same technician’s calendar at the same time. Parallel Dispatch makes that impossible.
Burst-day throughput
A Monday-morning burst of 30 new tickets dispatches in the time it takes to process the slowest single one, not 30 in a row.
No AI re-runs on conflict
When the AI’s first pick loses the slot race, Neo Agent walks the AI’s pre-ranked alternatives instead of calling the AI again. Conflict recovery is essentially free.
Zero workflow changes
Existing dispatch workflows benefit automatically once your account is on the new behavior. Your settings, custom instructions, and pool sources continue to work as-is.
When sequential dispatch is still the right choice
Parallel Dispatch replaces most uses of the Process Entities Sequentially workflow setting, but not all of them. Keep it on when:
Your dispatch workflow doesn't book calendar slots
Sequential mode is still the right answer for dispatch workflows that only assign a technician without adding a scheduled entry. There’s no slot to reserve in that case, so the parallelization safety net doesn’t apply.
You want predictable, one-at-a-time processing for non-dispatch actions
Sequential mode also covers actions like Find Ticket to Merge With and Trigger Another Workflow, where order matters across tickets. Parallel Dispatch only addresses the calendar-collision case.
Your volume is low and you don't see throughput pressure
For workflows that fire a handful of times per day, sequential mode’s simpler semantics are still a reasonable choice. There’s no harm in leaving it on — Parallel Dispatch will treat sequential workflows as a no-op (the one-at-a-time guarantee already prevents the race).
Migrating an existing sequential dispatch workflow
If you have a dispatch workflow currently running with Process Entities Sequentially enabled, you can safely turn it off once Parallel Dispatch is active on your account:
1
Confirm the workflow books calendar slots
Open the workflow’s Ticket Dispatch action settings. Under Scheduling options, verify that calendar booking is enabled. If it isn’t, leave sequential mode on — Parallel Dispatch only protects scheduled dispatches.
2
Turn off Process Entities Sequentially
In the workflow’s general settings, uncheck Process Entities Sequentially.
3
Save and let it run on real traffic
Save the workflow. The next burst of tickets will dispatch in parallel. Calendar collisions remain impossible — the safety net catches what serialization used to prevent.
4
Check Event History after the first busy day
Open the workflow’s Event History after a high-volume window. You should see dispatches finishing concurrently rather than queuing one-by-one. If a dispatch’s reasoning mentions falling back to a different technician, that’s Parallel Dispatch’s conflict recovery working as designed.
You don’t have to migrate every workflow at once. Start with your highest-volume dispatch workflows — those are where Parallel Dispatch produces the biggest throughput win.
The improvement depends on how many tickets the workflow processes in a typical burst:
Workflow shape
Before (sequential)
After (parallel)
5-ticket burst
~5–10 minutes serially
All 5 finish within the slowest single dispatch
30-ticket burst
Up to ~2.5 hours serially
All 30 finish within the slowest single dispatch
Steady-state low volume
No meaningful change
No meaningful change
For workflows that handle scheduled dispatches with frequent multi-ticket bursts (after-hours backlogs, Monday-morning queues, post-outage cleanup), the practical effect is “the queue is gone.”
Do I need to enable anything in the workflow editor?
No. Parallel Dispatch runs underneath the existing Ticket Dispatch action automatically whenever the action has calendar booking enabled. There’s no checkbox to toggle.
What happens if every alternative technician is also busy?
If the AI’s primary pick and every ranked alternative all have their slots claimed by concurrent peers, the dispatch retries from scratch — Neo Agent re-fetches the now-updated calendars and the AI picks again with fresh context. This is rare in practice; it requires four-plus dispatches racing on the same window for the same technicians at the same time.
Will it change the AI's technician selection?
The AI’s primary recommendation is unchanged. Parallel Dispatch only kicks in if that primary pick’s slot is claimed by another in-flight dispatch — and it walks the AI’s own ranked alternatives, not a different algorithm.
Does it affect Round Robin dispatch?
Yes — Round Robin dispatch also benefits when scheduling is enabled. The same slot-claiming safety net applies whether the chosen technician came from the AI or from Round Robin rotation.
Can I see how often conflicts happen?
Conflict and fallback events are tracked in observability dashboards on the Neo Agent side. If you want a per-workflow report, reach out to support — we can pull the rate for any workflow you’re piloting the migration on.