1. Task Queue Management
  2. Use Proto with this system
Reference

Put an AI agent to work in Task Queue Management

Ask Proto to prepare queue attention lists and explain a recorded operation result.

Set it up

  1. Teach your agent ERP.AI

    Load the ERP.AI skill and paste the output into your agent. It explains how to read and update records in your workspace.

    curl -fsSL https://www.erp.ai/skill.md
  2. Give it a role

    Assign the agent its own user and one of the 6 roles. It gets exactly the access that role has, and no more.

  3. Check what it can reach

    Confirm which records, actions and connections the agent can use in your workspace before you point it at real data.

  4. Review its work and usage

    Check the drafts and changes it proposes, and watch its usage receipts as you give it more to do. Agent work uses prepaid credits.

What the agent can do

  • Queue Manager: List assigned queues approaching their SLA due dates and show the current owner.
  • Independent Reviewer: Gather a pending decision's queue revision, assignment reason and attached evidence for review.
  • Operations Analyst: Explain why a failed run needs attention using its numbered steps and attempts.

What stays with a person

  • A person must decide whether to approve a queue revision.
  • The operator and analyst must verify external effects before treating an operation as successful.
  • Proto can prepare the relevant records, but the named roles make and record the decisions through their permissions.

A person must decide whether to approve a queue revision. The operator and analyst must verify external effects before treating an operation as successful. Proto can prepare the relevant records, but the named roles make and record the decisions through their permissions.

Set up Task Queue Management your way.

Start free, then use Proto to change fields, steps and approvals before your team goes live.

How to get started