Jev will be super helpful for agents to make split second decisions in workflows, data classification, judgment calls, and hundreds of other use-cases in the enterprise. Here's a quick demo with Box and Jev to make that real. The demo pulls an incident report from Box, asks whether it's... customer-facing and how severe it is, moves the file into escalate, monitor, or review folders, and sets a metadata template instance with the result. This all happens nearly instantly and at almost no cost. You can imagine this in insurance claims, contract management, loan processing, security reviews, customer log analysis, and so on. Definitely a great new class of AI use-case.show more

olga stefaniuk is going to open box one day and find the whole thing already sorted

i can think of hundreds of interesting use cases for it, pretty interesting model

Great use case — fast, cheap classification is exactly what unlocks AI at scale for workflows like this. The Box integration makes it concrete. Excited to see where this goes 🚀

Absolutely. Makes it possible to get the first decision or first response out super fast and super cheap.

I was telling this morning one of your sales guys from Germany about JEV and what an awesome match that would be for @Box

Split-second judgment is the easy demo and the expensive bug.

Hers what I am cooking with jev:

What about data protection in insurance claims?

Great demo, Aaron. Logged it on Jev Radar, the free place where every Jev build gets collected and explained in plain English. Yours is here 👇

Split second judgment calls with no calendar invites. This is what enterprise software was supposed to feel like all along

agents don't die on smarts. they die on permissions and slow judgment. if it can't classify a ticket before it acts, i won't trust it near production data.

compliance and records workflows have needed this for years. software handling the routine paper trails lets actual operators focus on real decisions.

Incident report out of Box, severity call, then escalate / monitor / review with the metadata already filled. Nearly free and nearly instant. I will steal that flow for my own queues first.

enterprise agents do not fail on model iq. they fail on judgment latency and permissioning. jev-style split-second classification is the boring layer that makes agent workflows underwritable. without it you get a demo that cannot touch production data. i will not underwrite process that cannot classify an incident report before it acts on it.

Fast triage matters when the decision can happen inline instead of waiting in a queue.

split second decisions in workflows, box demo looks solid

This is exactly what enterprise AI needs right now. The ability to make instant, low-cost judgment calls at scale will completely transform document routing. Great integration with Box!

Escalate versus monitor is cheap to get right and expensive to get wrong. The value of that classifier is set by the rare miss, not the average case.

so, can u please share the telemetry/evals/outcomes?

the review folder is doing important work here

The interesting leap is not the demo. It is giving agents a bounded judgment call with an audit trail. What is the failure budget?

Have you explored trying this with more complex web application work flows or simply using stand alone docs from a CMS like box?

This shifts the enterprise paradigm from latency-bound human coordination to low-cost, event-driven reasoning. The 10-year implication is the total decoupling of business process execution from human cognitive throughput.

Classification is the easy half; the demo is compelling precisely because the output is a recommendation, not an action. The moment that same agent gets to act on needs_escalation: true (freeze the account, notify the customer, open the ticket), it stops being a classifier and becomes delegated authority. Then the design surface moves off the model and onto the mandate: what ceiling the run has, who is liable if the call is wrong, and who can revoke it mid-flight. Every use-case on your list has that shape; the ones that ship will be the ones where the accountability was designed first.

This is where agents get much more useful in enterprise: fast judgment is valuable, but auditable judgment is what lets teams delegate real workflows. The decision trail matters as much as the decision.

with the speed of jev there are some many use cases opening. i was all day browsing what people are building with it and saved it to

If someone updates the incident report, does the routing get revisited too? That's the part I'd want to see next.

The routing example is the one worth copying. Escalate, monitor, review is three buckets, and the hard part was never the classification, it was doing it fast enough to sit inline in the workflow instead of in a nightly batch. The piece I would watch is what happens on a low confidence call. A wrong folder is cheap, a wrong severity on an incident is not.

yeah agents stall on the judgment call not the fetch

This is where AI starts becoming infrastructure rather than a chatbot. Fast, cheap judgment calls embedded directly into workflows could unlock thousands of small decisions that were never economical to automate before.

Most enterprise 'automation' is just a glorified flowchart. Adding real-time judgment is how we actually move from copilots to autonomous agents. Speed is the feature.