Estimating and business development run through email, a spreadsheet, and one estimator's memory, so warm opportunities go cold on nobody's watch. Go Fig builds and runs a Sales Administrative Assistant on your bid pipeline: it flags the bids that went quiet, drafts the follow-up, and writes site-visit and GC-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 construction company's bid and business-development pipeline: it audits outstanding bids for missing follow-up, drafts outreach on cooling opportunities, catches new RFQs while they are warm, and writes site-visit and GC-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 job cost and WIP. Your data stays in your environment and never trains an outside AI model.
Built on the systems construction 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 bids with no follow-up, the opportunities gone quiet, and the decisions already past due. It posts the list to the owner and, once you approve the rule, updates the record itself. Nothing warm slips because nobody remembered to chase it.
The site-visit or GC-call recording lands, and it pulls out the scope, the requirements, and the next step, writes them to the CRM, and drafts the follow-up. Estimators stop paying the admin tax on every conversation, and the notes actually get written.
A new RFQ or inbound inquiry arrives. It matches it to the CRM, drafts the response, and alerts the estimator within the hour, instead of the opportunity aging out in an inbox.
New projects, permits, and GC 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 estimator 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.
Job cost used to run three weeks behind, so we caught overruns long after we could price them back. Go Fig loads committed costs into the same WIP workbook we always used, refreshed every morning, and the PM gets the call while there is still time to fix it.
Controller, Hardline Construction Group 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 construction 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 project management system (Procore, Sage 300 CRE), and your accounting system 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 bid and business-development pipeline, where the lost-follow-up tax is most visible. Once that data is captured into infrastructure you own, the same layer powers the back office. Teams commonly expand into job cost and WIP, refreshed daily and traceable to the cost code.
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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