--- title: "Before you connect an AI agent to your Sage ledger" description: "A checklist for connecting an AI agent to a Sage ledger without disrupting live work: access, permissions, test data, rollout and a plan for turning it off." author: "Donna Shay" category: "Software Integration" date: 2026-10-30T05:15:04.806Z canonical: "https://tasksheriff.com/blog/ai-accounting-software-integration-sage" --- # Before you connect an AI agent to your Sage ledger > A checklist for connecting an AI agent to a Sage ledger without disrupting live work: access, permissions, test data, rollout and a plan for turning it off. The usual order is backwards. Teams connect a tool to the ledger, watch it work for a day, and only then ask what it is allowed to do. By then it has already touched live records. This checklist reverses the order. It fits any agent that connects to a Sage ledger, and it assumes you want no disruption to live operations. Details differ by Sage product and version, so confirm specifics in [Sage's documentation](https://www.sage.com/) for your edition. ## The challenge this solves A ledger is a shared, controlled system. People depend on its numbers, auditors rely on its history, and period locks protect its past. An agent that writes to it without care can break any of these. Integration trouble is rarely technical. It comes from unclear answers about authority. ## How an agent should connect The agent should sit beside the ledger and use its supported interfaces. It should read data through the same paths other integrations use, and write through the standard entry routes, so your approval rules and period locks still apply. It should have its own identity. Never reuse a person's login. A separate identity lets you limit its rights, and lets you see in the log which actions were the agent's. ## The checklist ### 1. Choose the first workflow and the entity Start with one workflow in one entity. Bank reconciliation or payables exceptions are common choices. Smaller scope means a smaller blast radius. ### 2. Use a test company Run the first connection against a copy or a test company with realistic data. Check that the agent reads what you expect, and that its proposed entries look like the ones your team would make. ### 3. Define read access first List the objects the agent needs: vendors, invoices, purchase orders, bank transactions, chart of accounts. Grant read access to those and nothing more. Review the list with whoever owns data privacy. ### 4. Add write access in steps Begin in proposal mode, where the agent drafts and a person posts. Move to direct posting only for categories where proposals were right over a stated period. Write the limits down: the amount ceiling, the accounts allowed, the entities allowed. ### 5. Respect periods and locks Confirm the agent cannot post into a closed period. Test it deliberately by trying. Also decide how it behaves at month-end: some teams pause automatic posting during the final days of close. ### 6. Map master data The agent matches against vendors, accounts and cost centers. Duplicate vendors and unused accounts will confuse it, as they confuse people. Clean the obvious problems before you connect, and keep a list of the rest. ### 7. Plan the log Decide where the agent's record lives, who can read it, and how long you keep it. Make sure an auditor can ask for one transaction and get inputs, decision, authority and identity. ### 8. Name an owner Someone owns the connection: its credentials, its updates, and the response if it stops working. If the answer is "IT and finance together", pick one name anyway. ### 9. Write the off switch Know how to disable the agent in minutes, and what the team does meanwhile. Test it once, before you need it. ## A rollout in four phases - **Read only** in the test company. Compare its view of the data to yours. - **Proposal mode** in production. A person approves every action. - **Limited posting** for approved categories under a low ceiling. - **Widening** of limits, one category at a time, with a review after each step. Most teams spend the most time in phase two. That is correct. It is where you learn the agent's habits. ## Signs you should slow down - The agent's proposals are right but your team cannot say why they trust them. - Reviewers approve in bulk without reading. - Master data problems keep reappearing as agent errors. - Nobody has opened the log. ## Getting started Hold a thirty-minute meeting with finance, IT and whoever owns data privacy. Answer steps one to four and nine on paper. If you cannot agree on the first workflow, the entity or the off switch, you are not ready to connect, and you have learned that cheaply. --- Source: https://tasksheriff.com/blog/ai-accounting-software-integration-sage