Turning inbound into deals: How Attio captures high-intent prospects instantly with Fin

Attio is an AI CRM built for scaling go-to-market intelligently. Product-led and almost entirely inbound, the company is designed for fast-growing GTM teams. But its marketing site still relied on a traditional flow: read the content, fill out a form, wait for a reply.

For a company operating at the forefront of AI, that gap was hard to ignore.

“We want our prospects to be able to evaluate Attio without worrying about scheduling a call,” says Matt Duffy, Head of New Business at Attio.

To close that gap, Attio deployed Fin to run inbound conversations end to end, engaging visitors in real time, qualifying intelligently, and routing each prospect to the right next step.

Since launch, Fin has handled over 1,600 inbound sales conversations with new and logged-out leads, producing 50+ sales-qualified conversations and 30+ startup program qualifications. It has also helped convert a returning customer whose first touch was via Fin at roughly six times Attio’s average ACV.

Here’s how Attio used Fin to rebuild its inbound motion around real-time intent.

Attio’s growth is overwhelmingly fueled by inbound traffic. Tens of thousands of prospects land on attio.com each week exploring pricing, comparing tools, and evaluating whether the platform fits their needs.

But its marketing site still relied on an outdated buyer journey that let visitors read documentation, browse case studies, and if they wanted to speak to someone, fill out a form and wait for a response.

For a product-led company built for speed, that lack of immediacy felt increasingly misaligned.

“We’re almost entirely inbound,” Matt explains. “So any friction in that experience matters.”

The team knew they were likely missing conversations at the exact moment intent was highest. Prospects exploring pricing or asking nuanced product questions had no immediate way to get answers. And long-tail inbound (smaller companies, global traffic across time zones) was difficult to serve consistently with humans alone.

“Agents are infinitely scalable to handle long-tail inbound,” Matt says. “It makes every customer touch point customized which we couldn't do before.”

Attio had already leaned into Fin for customer service, automating upwards of 40% of inbound support queries, so extending Fin into sales was a natural next step.

When Attio joined the beta, allowing Fin to take on a sales role, they had a clear goal: create a real-time, conversational entry point on the marketing site that could qualify, route, and act immediately.

Will Jones, part of Attio’s GTM Operations team, led the implementation.

A first version was live in under two weeks.

“I’d already been trying to solve this with our existing Fin setup for support,” Will says. “When Fin for Sales came along, it was the right tool at the right time. Getting the structure live was fast. Most of the work was testing and refining.”

The team designed three clear paths for Fin to follow based on defined qualification criteria:

• Self-serve for smaller or longer-horizon prospects.
• “Talk to sales” for high-fit, high-intent leads.
• A startup program for venture-backed startups eligible for discounts.

Following these flows, inbound demand could be captured and routed without waiting for a human to step in.

“The first deal that it actually created for us, I looked at it and thought, ‘wow!’,” Will says. “It had gone through the conversation, answered their product questions, and created a deal in our CRM. That was the moment I knew it was working.”

In the first few weeks, Fin handled around 400 conversations and generated 17 active deals. That early signal was encouraging. But what mattered more was the quality of the interactions.

Prospects were asking detailed product questions, comparing competitors, and exploring pricing models. Fin handled all of these exchanges fluently, before routing each prospect based on fit and timing.

“It’s not just about volume,” Matt says. “These are real buyers having real conversations.”

One interaction in particular stood out: a company that had previously spoken to Attio returned to the site nearly a year later. Instead of filling out a form, they engaged directly with Fin, their questions were answered in real time, they were guided into the right path, and then converted.

“They converted to a paid customer at six times our average contract value,” Matt says. “Putting their credit card in and getting charged thousands of dollars.”

For Attio, that proved something important: Fin was not just booking meetings; it was handling inbound conversations in a way that directly led to revenue.

To date, the volume handled by Fin has surpassed 1,600 conversations with new and logged-out visitors. More than 50 have been qualified for sales. Over 30 have been routed into Attio’s startup program. Others have been intelligently disqualified or redirected to support when appropriate.

Attio wanted its buying experience to reflect how modern teams of all sizes actually evaluate software.

“It’s not just small companies that want to move fast,” Matt says. “It’s large companies too. Our customers are always working. Why should they be constrained on when they can have the conversation?”

Fin gives Attio an always-open front door. Instead of limiting conversations to when a human is available, visitors exploring pricing or asking complex product questions can get immediate, contextual answers and move forward without delay. That shift changes the tone of the interaction, as prospects are entering a live conversation instead of a queue.

“It’s that time-to-value piece for me, that customers tell us more and more are table stakes,” says Elyse Mankin, Head of Support at Attio. “Giving someone a real-time option to chat and figure out if the platform fits their needs, and move directly into a trial or a sales conversation. You’re shortening time to value, providing a high quality experience at scale, without staffing humans to have those conversations.”

To make the experience as seamless as possible, Attio tested Intercom's new agentic Messenger built to drive conversion and pipeline. In early testing, engagement from new leads increased ninefold compared to the previous Messenger surface.

For the team, that reinforced something they already believed.

“This is going to be the buying experience,” Matt says. “More and more people are going to be doing this.”

For Attio’s leadership team, the impact goes beyond individual deals.

As a product-led company, inbound growth has historically meant more volume. More volume meant more tickets. More tickets meant more people. That relationship felt fixed.

Fin changed that equation.

“The whole goal is to break linearity,” says Alex Vale, VP Marketing at Attio. “As workspaces grow, support headcount grows. We very purposefully reduced that projected growth because we know what Fin is capable of.”

The same thinking now applies to inbound sales. Instead of hiring to plug gaps in process, Attio is using AI to handle qualification at scale, reserving human attention for higher-leverage conversations.

Attio is now planning for growth differently.

“You can still have humans for the higher-value, more strategic deals,” Matt explains. “For long-tail inbound, having consistent, always-on qualification is just better.”

At Attio, Fin handling sales represents a broader shift toward a single AI Customer Agent that spans sales, support, and the wider customer journey.

In Attio’s world, the boundaries are already blurred. Most buyers begin in the product. Sales conversations are consultative. Support often fields questions about pricing, use cases, and fit. The journey spans teams, but the customer has a single experience.

“If you have fewer silos and handovers, you lose less information,” Alex says. “Ideally, you have someone who can sell a deal, close it, and support the customer through the whole lifecycle. At scale, this doesn't exist. But now, with an AI Agent like Fin, we're seeing that it could actually be possible.”

As Attio continues to grow, the principle remains consistent: meet buyers where they are, respond in real time, and build a revenue engine that captures demand without adding friction.