In my experience the difference between good and bad revenue teams has always been huge and a massive advantage for those that get it right. It often comes down to how consistently they stay in touch with customers. Following up at the right time, surfacing issues before they escalate, or just making sure no opportunity slips through. But most teams don’t have the time or discipline to do this.

That’s what led me to start building https://chuff.co. It lets you create agents in natural language that help with outreach, follow-ups, support, and account management.

Agents can use tools like email, APIs, and web search to look things up or take action. They also have a small internal database to keep track of people and companies, which sits alongside whatever tools you already use.

Speaking to founders and revenue teams, I’ve seen some interesting use cases, for example: an agent that checks order status in Shopify and drafts updates when a customer emails in, another that tracks invoice status in Stripe and follows up on overdue payments or syncing an inbox and asking an agent to suggest who to re-engage and write follow-ups.

Still early. Would be curious to hear from others working on this problem or thinking about AI in customer-facing workflows.