Meet Carly: the AI agent that runs your Trust Layer

Most revenue teams have spent the last few years building a Trust Layer — a place where customer proof lives. Case studies, reference customers, expert advocates, recorded calls, the quiet Slack message from a happy admin. It's real work, and it matters. But storing proof was never the hard part. The hard part is timing: getting the right piece of proof in front of the right buyer at the exact moment it changes their mind. That's the job we built Carly to do.

Carly is an AI agent that sits on top of your Trust Layer and works it like a member of the team. She watches your open pipeline, understands where each deal is stuck, and pulls the one customer voice most likely to move it forward. Not a folder of assets to dig through — a decision, made and delivered.

From a library to a living system

A library is only as good as the person searching it. In practice, that means proof gets used by the reps who already know it exists, on the deals they happen to remember it for. Everyone else ships pitches. Carly closes that gap by making the Trust Layer active instead of passive.

She reads the shape of a deal — industry, use case, objection, stage — and matches it against every proof point you have. When a mid-market fintech stalls on security, Carly surfaces the customer who cleared the same review. When a champion goes quiet, she suggests the peer most likely to re-engage them. The proof was always there. Carly is what makes it show up.

Proof at the speed of the deal

Speed is not a nice-to-have here — it's the mechanism. In our 2026 GTM benchmark with Heinz Marketing, deals that put customer proof in front of a buyer within 48 hours saw a measurable lift in win rate over those that took longer. Most teams miss that window not because they lack proof, but because assembling it is manual: find the reference, check availability, brief them, schedule the call.

Carly compresses that to minutes. She drafts the intro, proposes the right advocate, and hands the rep something ready to send — so the proof lands while the buyer is still deciding, not a week after they've moved on.

• Always watching: Carly monitors every open opportunity, so no deal quietly slips past its proof window.
• Ranked, not listed: she returns the single best-fit customer voice, with the reason it fits — not a search page.
• Ready to send: intros, talking points, and scheduling come pre-drafted, so acting on proof takes minutes.

Matched on the problem, not the title

The instinct is to match buyers to advocates by company size or job title. But a VP of Sales at a 2,000-person company doesn't want to hear from another VP of Sales — they want to hear from whoever solved the exact problem keeping them up at night. Carly matches on the problem solved, drawing on the same peer-matching engine behind Experts+. The result is a conversation that feels less like a reference call and more like advice from someone who's been there.

Every touch writes back to the CRM

Peer influence has always been the hardest thing to measure, which is why it's the first thing to get cut. Carly fixes that by logging every proof point, intro, and reference call back to the opportunity — so influence shows up in the pipeline, the forecast, and the win/loss review. When you can see proof in the CRM, you can finally invest in it on purpose.

What Carly doesn't do

It's worth being clear about the boundaries, because "AI agent" invites the wrong picture. Carly doesn't cold-message your customers or spend their goodwill without oversight — advocate outreach stays governed by the rules you set. She doesn't fabricate proof; she works only from the real customers, calls, and stories in your Trust Layer. And she doesn't replace the rep's judgment about a relationship — she hands them a ready move and they decide whether and how to make it.

Think of her less as autopilot and more as the teammate who has read every customer story, remembers all of them, and never forgets to bring the right one to the right deal. The rep still flies the plane. Carly just makes sure the most persuasive thing you own is always within reach.

How teams put Carly to work

In practice, Carly shows up at the moments reps already feel friction. A deal stalls after a strong demo and no one's sure why — Carly flags that it's sitting in its proof window and surfaces the customer who broke the same stall. A champion stops replying — Carly proposes the peer most likely to re-engage them. A rep is prepping for a security review — Carly has already pulled the customer who passed the identical one and drafted the intro.

What changes isn't that reps suddenly have proof they didn't have before. It's that the proof finds them, at the moment they need it, instead of waiting to be remembered. The best customer story in your company is worthless if the one rep who'd think to use it is heads-down on three other deals. Carly is the layer that makes sure it never gets forgotten.

Teams tend to feel the shift first in the deals they used to lose quietly — the ones that faded not because the product lost, but because the right reassurance arrived too late or never at all. Those are the deals a working Trust Layer, run by an agent, is built to save.

None of this replaces your reps — it arms them. Carly turns the proof you've already earned into a system that works every deal, at the speed deals actually move. That's the difference between having a Trust Layer and running one.