Turn any stream of tasks into workflows.

Duvo Case Queue gives your assignments a structured way to receive, process, and resolve work items, with full visibility from start to finish.

Queue-based processing. Feed tasks in, let Duvo handle the rest.
Automatic dispatch. Agents process cases without manual intervention.
Built-in retry logic. Failed cases return to the queue automatically.
Full visibility. Track every case from pending to completed.

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Problem

You can't scale what still runs on manual hand-offs.

Scattered work

Tasks arrive from different channels — emails, tickets, internal requests. There's no single place to capture, prioritize, or track them. Things fall through the cracks because nobody owns the queue.

Manual routing

Someone has to decide what goes where, assign it, follow up, and re-assign when it fails. Every hand-off is a delay. Every delay compounds.

Zero visibility

Leadership asks "what's the status?" and nobody has a clear answer. There's no throughput data, no failure tracking, and no way to spot bottlenecks before they become blockers.

What Case Queue does

Cases go in. Results come out. You see every step.

Case Queue connects incoming tasks to the assignments that handle them. One queue, automatic dispatch, full traceability.

Push any task into the queue — an assignment picks it up, processes it, and reports the result.

Add cases to the queue

Push work items into the queue from another assignment. Each case carries a title and the data your assignment needs to do its work.

Automatic dispatch via triggers

An agent trigger watches the queue. The moment a case lands, it dispatches the connected assignment to claim and process it.

Modular workflow design

A producer assignment creates cases; a consumer assignment processes them. Clean, composable, scalable.

What you get

Everything you need to process work at scale.

From intake to completion.

Queue-based task management

A single container for all pending work. Cases flow through the queue in order, claimed by assignments as capacity allows. No more scattered tasks or lost requests.

Automatic case dispatch

Agent triggers connect assignments to queues. Cases are claimed and processed the moment they arrive — set concurrency to control how many run in parallel.

Built-in failure handling

When a case fails, it returns to the queue with a Failed status and is available for retry. No silent failures, no lost work.

Human-in-the-loop support

When an assignment needs human input mid-case, it pauses and sends a notification to the Activity Inbox. The case stays claimed until the human responds.

Real-time case monitoring

Filter by status — Pending, Claimed, Completed, Failed. View case details, processing history, and queue-level stats for throughput and failure rates.

Structured process map

See the full shape of your queue pipeline — who produces cases, who consumes them, and how they connect. A clear map, not a guessing game.

Why it matters

The point isn't another to-do.
The point is task done.

Shared inboxes

Manual assignment, manual follow-up. Work piles up. Things get missed. Nobody knows the real status until someone asks.

Why Case Queue

Work enters the queue, triggers dispatch assignments, cases are processed and tracked automatically. Failures retry.

Real results

From "who's handling this?" to "it's already done." You see throughput, catch failures early, and scale by adding concurrency — not headcount.

Get started

Stop routing tasks. Start shipping results with Case Queue.

Let's talk. Describe your process. Let AI agents finish the work end-to-end. No technical skills. Just results.

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