Zams wants AI to move from assistant to teammate for sales teams

While leading eChai SF, I get to meet founders who are working on the problems that almost every team talks about. One of the most common frustrations I hear is the quiet tax of coordination. A new customer request means updating Salesforce, pinging a manager on Slack, drafting a quote in HubSpot and sending it out by email. Each step is straightforward, but together they drain time from the real work of building relationships and closing deals.

That is the gap Nirman Dave has been chasing. His first company, Obviously AI, focused on making predictions simple enough to run directly from a spreadsheet. The idea found traction, more than 82,000 models were created, the company raised from Sequoia Scouts, B Capital and Facebook’s startup fund, and Nirman earned a spot on Forbes 30 Under 30. Yet he kept noticing the same limit. Predictions were useful, but they did not reduce the repetitive work that dominated the day.

In 2025, the company rebranded as Zams, named after an astrophysics term that marks the moment a star stabilizes. For Nirman, it symbolized AI reaching a stage where it becomes dependable infrastructure. Zams builds AI agents that carry out workflows across more than 100 business tools. If a customer asks for a quote, the agent can log it in Salesforce, alert the manager in Slack, prepare the document and send it back.

There’s a short demo that shows this in action:

https://youtu.be/_MRxG66-ceY.

Customers already report strong outcomes. One linked Zams to $10 million in ARR without adding staff. Another cleared a 208-day backlog. Sierra Pacific says it saved 4,160 hours of work, and Husk Energy mentions $775,000 in revenue unlocked. These are company-reported numbers, but they suggest teams are trusting Zams with processes tied directly to revenue, not just side projects.

The broader landscape makes this more interesting. Businesses have long relied on tools like Zapier to connect apps, RPA systems to automate back-office tasks, and now copilots from Microsoft and Salesforce to surface insights. What Zams is aiming for is a layer that doesn’t just connect or suggest but quietly executes, the type of work teams today still handle manually.

From the eChai SF lens, what excites me is the question this raises. Will companies begin to treat AI agents as part of the team, trusted to carry out workflows end to end? If that shift happens, it could change how businesses scale, allowing growth without headcount rising at the same pace. That is why Zams is a story I’ll be following closely.