Our AI VP of Customer Success “QBee” Saved Us 70% of the Human Hours Vs. Before. Both Internally and With External Teams. A 3x Multiplier.

Amelia our Chief AI Officer put a real number on what AI Customer Success looks like in production. Not a vendor demo. Not a case study with made-up metrics. The actual math from running it for real, at scale, across 150+ sponsors and partners and eight figures of revenue at SaaStr.

Our AI VP of Customer Success — we call her QBee — saved us 70% of the human hours we spent on customer success work in 2025. That’s internal hours (our team) and external hours (our sponsors’ and partners’ teams). Combined.

That’s not 70% of some tasks. That’s 70% of the total human time that went into managing, updating, checking in on, and supporting our entire sponsor and partner base.

A 3x multiplier on the humans we have left.

What QBee Actually Does (And Why It Matters)

Let’s back up.

SaaStr runs the largest B2B / B2B + AI software community event in the world. We have 150+ sponsors every year. Each one has a unique set of deliverables: booth assignments, badge allotments, registration codes, custom links, content deadlines, logo submissions, speaker slots, and about 40 other line items that all need to be tracked, communicated, and followed up on.

In 2025, that was entirely a human job. Multiple humans, actually. A CS team checking spreadsheets, sending email updates, chasing down missing assets, fielding “where do I find my registration link?” questions for the 400th time, running QBRs (quarterly, if we were lucky), and generally spending enormous amounts of time on work that was repetitive, high-volume, and honestly pretty thankless.

The sponsors hated it too. They had their own people logging into portals, uploading assets manually, tracking down information that should have just been sent to them. Nobody was winning.

QBee replaced that entire workflow. Not the humans — the workflow.

Here’s what Qbee does every single day:

**Proactive, fully customized, proactive check-ins.**Not a batch email with a first-name merge tag. Every sponsor gets a message that reflects their specific situation right now: which tasks are done, which are overdue, what’s coming up next, their unique links and codes and booth details. Four to six unique data points per message, minimum. No human CSM at scale was doing this. Period.**Daily cadence, not quarterly.**The name QBee is a riff on QBR — Quarterly Business Review. Except she doesn’t do it quarterly. She does it every day. Sometimes twice. The idea of a “quarterly” check-in on a customer with active deliverables due in 60 days is insane when you actually think about it. So we stopped doing it that way.**Two-way task management.**QBee doesn’t just tell sponsors what they need to do. She tracks what we owe them, too. Internal action items surface to our team automatically. If we’re behind on delivering a sponsor’s floor plan or content schedule, QBee flags it before the sponsor has to ask. That’s a massive change from the old model where the sponsor had to chase us.**Escalation with context.**When something does need a human — a custom request, a negotiation, a relationship issue — QBee routes it to the right person with full context. Not “Sponsor X emailed, please follow up.” More like “Sponsor X is a returning Platinum sponsor, they’re 3 days overdue on logo submission, they’ve been responsive on everything else, their primary contact changed 2 weeks ago, here’s the thread.” That handoff alone probably saves 30 minutes per escalation.

Where the 70% Actually Comes From

Let me break down the math, because I think the composition matters more than the headline number.

Internal hours saved: ~65%. Our team used to spend a huge chunk of the week on status tracking, update emails, asset chasing, and answering the same questions over and over. QBee handles almost all of that. What’s left for humans is relationship management, strategic conversations, and handling the 5-10% of situations that are genuinely complex or sensitive. The work that humans should have been spending all their time on in the first place.

External hours saved: ~75%. This is the part people don’t talk about enough. Our sponsors’ teams were burning hours too. Logging into portals, downloading templates, uploading assets, emailing us to ask “did you get the logo we sent?” QBee pushes information to them proactively, confirms receipt automatically, and gives them a clear task list that’s always current. Their ops people are spending a fraction of the time they used to on managing their SaaStr sponsorship.

When you blend internal and external, you get to roughly 70% total hour reduction. Which means the same humans on both sides are now 3x more productive on the customer success work that remains.

Note that a human is copied on every communication. Sponsors / customers aren’t forced to talk to Qbee. But 90% of the time, they prefer to.

What QBee Can’t Do (Yet)

The “AI replaces everything” narrative is at the moment, still aspirational.

QBee can’t negotiate. A sponsor wants to swap their booth location, or they want to add an asset that wasn’t in their package, or they’re unhappy about something — that’s a human conversation. QBee can surface the issue and provide context, but closing a negotiation requires judgment, empathy, and sometimes just the ability to say “let me buy you a coffee and we’ll figure this out.”QBee can’t read the room on strategic accounts — yet. Our biggest sponsors — Salesforce, Google Cloud, Replit — have complex, multi-threaded relationships that involve executive alignment, co-marketing, and long-term partnership strategy. QBee handles the operational layer beautifully, but the strategic layer is human work.QBee requires real maintenance. Amelia (our Chief AI Officer, who built QBee) still spends 2-3 hours a week tuning, updating, and improving the agent. Data changes. Sponsor packages change. Edge cases surface. This is not set-and-forget. Anyone who tells you their AI agent is set-and-forget is either lying or running it badly.

It’s Much Better for Customers, Not Just Us

The biggest unlock wasn’t the internal efficiency. It was what happened to the sponsor experience.

Our sponsors started responding faster. Completion rates on deliverables went up. The number of “urgent” last-minute scrambles dropped significantly. And the feedback we got was some version of: “This is the most organized event team I’ve ever worked with.”

One returning sponsor got everything done in one day. Last year, it took them months of heel dragging and late fees.

That’s not because we hired better people. It’s because QBee removed the friction that made the old process miserable for everyone. When you push the right information to the right person at the right time, proactively, with no portal login required, it turns out people actually do the things you need them to do. On time. Without being nagged.

How We Built It

We vibe coded QBee on Replit. Amelia designed the architecture and built the core agent. It took about 3 weeks to get to v1 and another 4-6 weeks of iteration in production to get it to the level where we trusted it to run autonomously.

Total cost to build and run QBee: maybe $200. But importantly, a lot of time from our best human. The soft costs are real. If we could have bought it, we would have. Don’t forget the 90/10 rule. Buy an AI Agent if you can.

But net net, it was worth it. The output is higher quality, more consistent, and more personalized than any single human could deliver across 100+ accounts.

We didn’t build QBee because we wanted to. We built it because the thing we needed didn’t exist off the shelf. Every CS platform we looked at still required humans to do all the actual work. The platforms were dashboards and workflows, not agents. They told you what needed to happen. They didn’t do it.

We will happily replace QBee with a third-party AI agent the moment one exists that’s better. That’s the same rule we follow for everything in our stack: buy 90% of what yo