Business operations

Remote people for the work your automation cannot finish.

The agent drafts and someone has to approve. The workflow throws exceptions nobody works. We put reliable people on the queue, with a measured accuracy and a Pod Lead who owns the number.

A fraction of the cost of a local hire.

Book a 20-minute call See how it works

Automation still needs a human at the edge

The agent drafts, and someone has to approve every one.

The workflow throws exceptions that sit in a queue nobody works.

The model labels, someone has to verify, and the team that built the automation now babysits it.

What we run

›Work approval and exception queues with response SLAs

›QA and correct AI output: drafts, extractions, classifications

›Verify and label data

›Handle escalations from a written playbook

›Sample and measure accuracy per queue

›Feed results back to the automation owner

›Cover European office hours with India-based capacity

How it works

Scope in one call

A 20-minute call to map the work, the tools and the handoffs.

Set up in two to three weeks

We learn your process, write the SOPs, and take over the first tasks.

Run weekly with a report

The pod runs the work day to day and reports on it every week.

Who it is for

Companies running AI agents, RPA or workflow tools

Teams that need a reliable human checkpoint without hiring for it

Owners who want the exception queue worked, not ignored

What you get

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A Pod Lead who owns the accuracy number, with operators who work the queue

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A weekly accuracy sample per queue

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Your SOPs and playbooks stay yours; we document as we go

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Your tools stay yours; we work in your queues

Questions

Which tools do your people work in?

Yours. Queues in your system, or a shared sheet if you have none.

How do you keep quality?

A two-person check on new queue types, a weekly accuracy sample, and a Pod Lead who owns the number.

Is this the same as a SalesOps pod?

Same model, different queue. One Pod Lead can run both.