Minded applies client rules, flags exceptions, and keeps ledgers clean without the coding grind.
Let AI Agent run your GL coding
Categorize Transactions
"Categorize last month's general ledger transactions for this client in QuickBooks Online. Use the client's chart of accounts and the past six months of coding history. For each line, propose the GL account, the offset, the tax treatment, and the 1099 flag where it applies. If a vendor appears for the first time, ask me whether to reuse how I coded the same vendor for another client or to create a new rule. Do not post anything yet. Send a Slack summary with proposed entries, open questions, and new vendors."
Apply Coding Rules
"Apply the client's specific coding rules when loading entries into NetSuite. Read the rules sheet saved in Google Sheets, combinations of vendor, memo, amount, department, class, and location, and use it before proposing a new GL account. If two rules conflict, ask me which one prevails. If a learned rule would change the prior close's treatment, flag it as an exception. Send a sheet with entries that already match a rule, conflicts detected, and proposals waiting for review."
Flag Exceptions
"Flag last month's entries in Xero as exceptions when they meet any of: new vendor without a rule, amount above the client's materiality threshold, proposed account not used before for this client, ambiguous tax treatment, missing receipt, or contractor without a W-9 on file. If you cannot find the client's threshold, ask me whether to use the firm default or the client-specific one. Do not post exceptions. Send a Slack report with reason and proposed treatment per exception."
Post Approved Entries
"Post last month's journal entries in Sage Intacct only after the reviewer signs off in Slack. Before posting, confirm each entry has consistent account, tax, dimensional tags, and supporting document tied to the rule applied. If a sign-off comes back with edits, log it and ask me whether the new version becomes a learned rule for future closes. Do not post anything without explicit approval. Send a summary with posted entries, accepted edits, and new rules."
Up to 80% Lower Cost to Serve
Up to 80% lower cost to serve means cutting repetitive coding work, not the reviewer's judgment call. The ai for accounting firms angle is the same: the agent proposes account, dimensions, and tax treatment with consistency; the team decides on exceptions and new rules.
Chart of Accounts Maintenance Across the Portfolio
GL coding is ongoing chart-of-accounts work, not one-shot capture. Each client carries a chart that drifts over time: a department gets renamed, a class gets retired, a parent account gets split into two children, an old expense bucket goes dormant. The agent owns the chart end-to-end across the portfolio, surfaces accounts that have not been used in 90 days, flags accounts that two clients in the same vertical use differently, and proposes mappings when one client adopts a new dimension (department, class, location, project). The chart stays clean before close runs against it. Connect this work to the rest of close via journal entry automation and month-end close with AI.
Per-Client Coding Rules Library
Coding rules are how the firm encodes its judgment: vendor → account, memo → class, amount → location, contractor flag → 1099 box. Each client has its own library, refined every close. The agent reads the library before proposing a code, applies the matching rule deterministically, asks the reviewer whether to mint a new rule when none fits, and surfaces conflicts when two rules collide. New rules are versioned and dated, so the next close coder (human or agent) sees what changed and why.
How does Minded handle GL coding across different client charts of accounts?
Minded reads each client’s chart of accounts, prior coding history, vendor patterns, memos, and firm rules before suggesting GL coding. It can maintain separate per-client coding rules, so the same vendor can be coded differently by entity, department, class, location, or account structure.
Can Minded apply department, class, and location coding rules automatically?
Yes. Minded can apply department class location coding based on client-specific rules, transaction context, vendor history, payment source, and memo details. Rules can be stored in a coding rules library, reviewed by your team, and reused across recurring transactions while still surfacing low-confidence items.
How are 1099 flags and reviewer approvals handled in GL coding?
Minded can flag transactions that may require 1099 treatment, missing vendor data, unusual accounts, or policy exceptions. It keeps review queues separate from routine coding, records reviewer decisions, and only posts approved entries when your workflow requires sign-off before syncing to the ledger.
How would a coding lead use an AI GL coding agent across many clients?
A coding lead can use Minded to standardize how transaction categorization, exception handling, and review rules run across a large client portfolio. The agent handles routine GL coding drafts, highlights conflicts, and lets the lead manage rule quality instead of manually coding every transaction.
Does Minded work with QuickBooks Online, Xero, NetSuite, Sage Intacct, and Zoho Books?
Minded is designed for multi-system accounting teams and can support workflows across tools such as QuickBooks Online, Xero, NetSuite, Sage Intacct, and Zoho Books. It helps normalize GL coding logic across platforms while respecting each system’s fields, approval steps, and posting requirements.