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The sales admin for professional-services teams

Our agents move deals forward in the CRM a team already has. Every send waits for approval. We sell a subscription, custom builds, and enterprise deployments.

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Nathan Freystaetter

Founder & CEO · Capital One · Square

nathan@gofig.ai

Every company bought AI but almost none can act on it

Sales is the wedge

The pain is easy to see and the return shows up in weeks: CRM admin nobody wants to do, follow-up that never happens, and signals nobody acts on. Once the first agents run, the same foundation extends downstream into service, operations, and finance without a second data project.

Agents are the product

Skills read the data, triggers wake the agent on a schedule or a signal, and actions run on their own or wait for a person to approve. Every task waits for approval until the team trusts it to run on its own. That's the difference between software a company bought and work it stopped doing.

The data underneath compounds

Agents fail on the data, not the model. Go Fig brings a customer's systems into one place they own, with one set of numbers. Every connection and correction makes the agents better. Removing us means rebuilding the layer everything runs on.

Founder-market fit

Built by a data scientist who spent a decade on the enterprise data stack at Square, Capital One, and Oportun. Then he ran a small business and lived the other side of the problem. The thesis came from customer interviews, not a market map.

A $1.6B opportunity inside a $240B market

The global AI sales and marketing market is projected to pass $240B by 2030, about $100B of it in the US. Inside it we model a $1.6B marketable opportunity in B2B service firms that sell on relationships. In those firms admin work directly limits revenue, and the relationship is part of what's sold.

Source: MarketsandMarkets Research, Global Forecast to 2030.

It started in finance, but the problem was never finance

Go Fig began with twelve structured interviews with finance leaders, run at the end of 2025. Every one named the same problem: a dozen systems that didn't talk to each other and a person joining them by hand. That shape shows up in sales, service, and operations too. It was louder in finance because finance has a deadline. So the wedge moved to sales. The buyer there has budget and the loss is easy to see. An agent that drafts the follow-up and keeps the CRM honest proves itself in weeks. The thesis didn't change. Capture the data first and the agents are worth building. The research

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