Quivly doesn't stop after telling us that something happened. It helps us do the work that comes next. If usage drops, an onboarding milestone is delayed or an account needs attention, Quivly pulls together the context, explains why it matters and prepares the next action. Depending on the workflow, that might be creating a task, preparing a customer follow-up, updating the Project or escalating something to an engineer. The human approval piece is important for us. Our team still controls sensitive customer communication, but we don't have to start from a blank page or manually investigate every signal. It feels like adding extra customer engineering capacity without adding more coordination overhead.

We use Quivly directly in Slack, which makes it very easy to get customer context without switching between different tools. We can ask a question, understand why an account was flagged and see the source information behind the answer. Quivly also prepares the next action while letting us decide what requires approval. It has given us so much time back without taking away our oversight.

Before Quivly, our customer information was spread across Attio, PostHog, Stripe, and Granola call recordings. The biggest value is that Quivly brings all of it together without requiring us to migrate everything into another system. We can open an account and quickly understand what the customer is using, what they’ve asked for, any support issues, who we’ve spoken with, and what needs attention. More importantly, Quivly uses that information to surface risks and recommend next steps, it isn’t just another place to view data. We connected all our systems in a day, and it has saved the team roughly 15 hours each week that we previously spent pulling information together manually.