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Lone Wolf + Go Fig

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Connect Lone Wolf Back Office to Go Fig for commission accounting, agent payouts, and brokerage P&L that ties to the general ledger.

Lone Wolf Back Office (formerly brokerWOLF) runs commission accounting, agent payouts, and transaction management for real-estate brokerages, but the answers a controller needs (commission income by office, agent payout detail, true brokerage P&L, and pipeline against budget) usually require a downloaded report, an Excel pivot, and a private workbook that is stale by the end of the week. Go Fig does not replace Lone Wolf. It connects to the data Lone Wolf exposes, syncs the transaction, commission, agent, and general-ledger graph, reconciles it against your other systems and the GL, and loads fresh, traceable numbers into the Excel workbooks your finance team already uses, automatically, every day. Celeste, Go Fig's AI analyst, works only on your data, inside your own security and compliance boundary, with a full audit trail back to the originating transaction and disbursement. Your financial data stays in your environment. It is never pasted into a public chatbot and is never used to train an outside model.

Key facts

Platform
Lone Wolf Back Office (formerly brokerWOLF)
Sync grain
Transaction, commission, and GL-entry level
Multi-office
All offices and entities in scope
Historical backfill
Up to 10 years of transactions and GL entries
Auth
Dedicated read-only API credential or service account

SOC 2 Type II ยท All integrations

What you can do with Lone Wolf data in Go Fig

Commission income by office and agent

Closed-transaction commission income split by office, team, and agent, with company-dollar and agent-split detail, without exporting and pivoting by hand. The same view feeds production rankings and cap tracking for the brokerage.

Agent payouts that tie to the GL

Agent disbursement detail reconciled against the commission-payable and GL balances, so the payout run and the controller's books are the same number. Errors surface before a check goes out, not after.

Brokerage P&L and pipeline

Office and company-level P&L built from Lone Wolf ledger detail against your chart of accounts, plus pending pipeline against budget. Multi-office brokerages get true rollups every day instead of rebuilding the report every month.

Data available from Lone Wolf

Go Fig extracts and normalizes the following data from your Lone Wolf account:

Offices, teams, and agents
Transactions and closings
Commission income and company dollar
Agent splits, caps, and fees
Disbursements and agent payouts
General-ledger accounts (chart of accounts)
General-ledger entries and transactions
Vendors, bills, and payables
Escrow and trust account balances
Budgets

How to connect Lone Wolf

1

Provision a Lone Wolf integration credential

Create a dedicated read-only service account or API credential in Lone Wolf scoped to the offices and modules you want exposed (transactions, commissions, disbursements, GL). Keep it separate from your human operators so rotation and audit trails stay clean.

2

Confirm your office and entity scope

Confirm the Lone Wolf endpoint for your brokerage and the offices or entities you want to sync. Multi-office operators can scope one connection per office and consolidate across them in Go Fig.

3

Pick the historical window

Two to five years of transactions, commissions, and GL entries is typical for brokerages rebuilding production trends and payout history. Go Fig backfills the window once, then syncs deltas on an ongoing basis.

4

Wire up the brokerage workbooks and flows

Celeste ships starter flows for commission income by office, agent payout detail, brokerage P&L, and pipeline against budget. Point them at your Lone Wolf connection and the data lands in the Excel workbooks your team already opens, refreshed automatically, with drill-down back to transaction and disbursement detail.

Authentication: Go Fig connects through Lone Wolf's API surface using a dedicated read-only service account or API credential provisioned for integration use and scoped to the offices and modules you choose to expose. Keep the credential separate from your human operators so rotation and audit trails stay clean.

Common Questions About Lone Wolf Integration

Does Go Fig replace Lone Wolf Back Office?

No. Go Fig connects to Lone Wolf, reconciles its data against your general ledger and your other systems, and loads fresh, traceable numbers into the Excel workbooks your finance team already uses. Lone Wolf stays the system of record for commission accounting and payouts. Go Fig removes the manual export, pivot, and copy-paste that makes those workbooks stale the moment you finish them.

Can Go Fig reconcile agent payouts to the general ledger?

Yes. Go Fig joins disbursement detail against the commission-payable and GL balances in Lone Wolf and surfaces variances by agent and transaction. A typical reconciliation catches a miscoded split, a fee applied to the wrong side, or a cap that should have closed, before the payout run leaves the building.

How is multi-office brokerage data handled?

Every row carries its office, team, and agent identifiers, so you can build a single consolidated brokerage P&L, an office-specific view, or an agent production ranking without rewriting the source query. Split, cap, and fee logic is handled as Go Fig flows so it is versioned and auditable.

Where does our financial data go, and is it used to train AI?

Your data stays in your own Go Fig environment, inside your security and compliance boundary. Celeste works only on your data and produces a full audit trail. Nothing is pasted into a public chatbot, and your financial data is never used to train an outside model.

How current is the Lone Wolf data inside Go Fig?

Go Fig syncs incrementally, with a full reindex on a nightly cadence. Brokerages running payout cycles can dial sync tighter on commissions and disbursements when the on-call analyst needs near-current visibility. The Excel workbooks your team uses refresh automatically, so the numbers are current when someone opens them instead of stale from last week's export.

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