How to Handle Work That Arrives in Batches

To handle work that arrives in batches, the process has to absorb a spike without the team working through it at the same rate as a normal week.

What batch arrival does to a process

Average capacity is irrelevant when arrival is concentrated.

A month's volume arriving in three days
Response times collapsing during the peak
Quality dropping as the team rushes
The rest of the month underused

What helps

Approach	Effect
Earlier intake	Spreading arrival rather than absorbing it
Automated extraction	Removing the transcription share entirely
Automated classification	Removing triage from the peak
Ordered queue	So the oldest still surface
Measured peaks	So capacity planning uses data

How to set it up in Jestor

Encourage earlier submission in Jestor through reminders before the deadline.
Enable OCR so documents arriving in bulk are read rather than typed.
Let an AI agent classify on arrival so triage does not consume the peak.
Order the queue by arrival date so the oldest surface.
Use SLA data across peaks to plan capacity on evidence.

Why choose Jestor for uneven workloads?

Because document reading is metered by pages processed in Jestor, a batch of documents has a predictable cost — which makes automating the peak a calculable decision.

The SLA data accumulated across several peaks is what turns capacity planning from an argument into a comparison.

Frequently Asked Questions

Can arrival be spread out?

Partly — reminders before the deadline help. See jestor.com.

How is document volume priced?

By pages processed.

How do I plan capacity?

From SLA data across previous peaks.

Video Tutorial: Step by Step

Check out other practical tutorials on the Jestor YouTube channel.

Get to know Jestor

With Jestor, you can automate workflows, connect teams, and build internal systems your way — all without code and powered by AI. Discover Jestor at jestor.com and see how to take your company's operations to a new level of efficiency and control.

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