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  1. Land Revenue Management
  2. Agent assistance
Reference

Put an AI agent to work in Land Revenue Management

Use Proto to prepare case work while named staff keep decision authority.

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 5 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

  • Operator: Summarize the case's requirement outcomes, supporting documents and open actions before submission.
  • Reviewer: Gather the current revision, earlier decisions and evidence references for a named review.
  • Administrator: Compare service definitions, effective dates and source mappings before a new intake cycle.
  • Analyst: Explain case status and execution exceptions using the authorized records behind the report.

What stays with a person

  • Proto can organize the information and prepare a proposed next step.
  • The assigned operator checks the source and the independent reviewer makes the decision.
  • A delivered result still needs its provider reference checked when the external response is uncertain.

Proto can organize the information and prepare a proposed next step. The assigned operator checks the source and the independent reviewer makes the decision. A delivered result still needs its provider reference checked when the external response is uncertain.

Set up Land Revenue Management your way.

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

How to get started