Leads arrive from portals, your site, and referrals, then live in a CRM that is only as current as the last person who felt like updating it. Go Fig builds and runs a Sales Administrative Assistant on your pipeline: it flags the deals that stalled, drafts the follow-up that never happens, and writes showing and call notes back to the record. Nothing sends until you approve it, until you decide it can.
Go Fig builds and runs a Sales Administrative Assistant on a real estate company's sales system: it audits the pipeline for stalled deals, drafts follow-up on cooling leads, catches inbound intent while it is warm, and writes showing and call notes back to the CRM. Every action is approval-gated until you graduate what you trust. Because the engagement captures your data into infrastructure you own, the same layer then powers owner statements, investor reporting, and portfolio P&L. Your data stays in your environment and never trains an outside AI model.
Built on the systems real estate teams already run
Go Fig captures these into infrastructure you own, then builds and runs agents on top. Nothing your team has to configure.
Every night it finds the deals with no next step, no activity in two weeks, or a close date already in the past. It posts the list to the owner and, once you approve the rule, fixes the fields itself. Your forecast stops being a fiction the team maintains by hand.
The showing or call recording lands, and it pulls out what the buyer wants, the objections, and the next step, writes them to the CRM, and drafts the follow-up. Agents stop paying twenty minutes of admin on every conversation, and the notes actually get written.
An inbound lead lands from a portal or your site. It matches them to the CRM, drafts the outreach, and alerts the agent within the hour, instead of the lead surfacing in next month's report when the moment is long gone.
Price changes, new inventory, and buyer activity at the accounts you care about. It catches the signal, drafts the outreach with the hook already in it, and queues it for the agent to approve.
Every action the assistant takes is either autonomous or approval-gated, and you set that per agent and per action. Most teams start with everything in approval mode: the assistant drafts, a person clicks send, and you graduate the actions you trust once you have watched them for a few weeks. Approvals land in Slack or email, where your team already works, and every one is logged.
Our rent rolls never tied to the general ledger without two analysts and a long week. Now the owner statements build from data that is already reconciled, and every figure traces back to the lease. We stopped restating in front of investors.
Director of Finance, Meridian Residential Partners Your data stays in your environment, is never handed to a public chatbot, and is never used to train an outside model. Every read, action, and approval an agent takes is logged, so you can always answer why it did what it did. That is the first question your revenue leader asks, and the first question your auditor asks.
How the Sales Administrative Assistant works for real estate teams.
It is a set of agents we build and run on your sales system. Each one has skills (what it knows how to do), triggers (when it wakes up, either a schedule or a change in your data), and actions (what it does, either on its own or queued for your approval). It is not a chatbot your team has to remember to open. It runs whether or not anyone is watching.
Only if you tell it to. Every action is either autonomous or approval-gated, and you set that per agent and per action. Most teams start with everything in approval mode: the assistant drafts, a person clicks send, and you graduate the actions you trust once you have watched them for a few weeks. Approvals land in Slack or email, where your team already works.
No. Go Fig captures the data out of your CRM, your property management system (Yardi, AppFolio, Rent Manager), and the tools around them into infrastructure you own, then builds and runs agents on top. You keep the systems you already run. The agents do the work between them that nobody on your team has time for, and everything they do writes back to those systems.
It starts on your sales system, where the admin tax is most visible: cooling leads, a stale CRM, follow-up nobody has time for. Once that data is captured into infrastructure you own, the same layer powers the back office. Teams commonly expand into owner statements, investor reporting, and a portfolio P&L that reconciles to the lease.
Your data stays in your environment, is never handed to a public chatbot, and never trains an outside model. Every read, action, and approval an agent takes is logged, so you can always answer why it did what it did. That trail is the first thing your revenue leader asks for, and the first thing an auditor asks for.
Free, and senior-led. An advisor maps your sales system with you: where the data lives, where work piles up, and which agents would take it off your team first. No generic demo.
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