I set up qualified first meetings for B2B AI-product companies. You approve a written definition of "qualified" before anything is sent, and every meeting is checked against it before you are billed.
The tools (Clay, Apollo, an AI model) are the same for everyone. What changes the outcome is who carries the risk and who checks the number.
One page that says who counts, which two screening questions are answered at booking, and what does not count. No numbers and no sending until you have approved it.
Every meeting has recorded evidence and a human reviewer. An AI model is never allowed to approve a meeting on its own. You see the ledger.
You pay for accepted, held meetings. Tools, learning cost and setup time are mine. Terms are written and agreed before anything runs.
A four-week pilot with a cap, not an open-ended retainer.
This is the format, filled with generic rules. It is a sample, not a client's definition. A real one is written for your buyers and approved by you.
| Date | Company | Evidence | Reviewer | Status |
|---|---|---|---|---|
| YYYY-MM-DD | Example Co (sample) | booking confirmation + two answers | human | accepted |
| YYYY-MM-DD | Example Co 2 (sample) | reply thread + calendar entry | human | returned: attendee out of ICP |
Illustrative format only. These rows are not real data and no client has been served yet.
I do not guarantee meetings. Volume is a target conditional on your response times and an approved offer. If a meeting is returned or missed, the make-good in the written terms applies.
You pay per accepted, held meeting under a definition you have approved. I do not quote numbers before that definition exists, because the number depends on what a meeting is worth to you.
Client-branded or lookalike domains are used only with your written consent, and who owns them when we stop is written into the terms. Your primary domain is never used.
For research and drafting, yes. A human reviews every meeting before it is counted. An AI model may pre-approve only after it has been tested on a hand-labelled set and the lower bound of its precision meets the threshold.
Real sender identity, truthful subject lines, an opt-out and a postal address in every email, B2B contacts only. Regions beyond the US are not covered until they are cleared.
Not yet. This is a new practice, so there are no logos, testimonials or numbers on this page. When a pilot has 20 or more decided meetings, I will publish measured results with the client's approval.
I am Nipun Sareen, based in India, setting up first meetings for US-facing B2B AI companies. I worked at OYO and Livspace, two of India's best-known venture-backed startups, across affiliate and performance marketing, revenue operations and GTM engineering, and I have run my own ventures.
One person, no agency team behind the curtain. I take a small number of clients at a time.