Satwick Saxena.

Right now I'm co-founder and head of sales at Revenoid — AI agent orchestration for outbound sales teams. Every deal we've closed has been a customer's first AI tool purchase, which means I'm selling to a VP/CRO economic buyer, an engineering team, and an InfoSec reviewer in the same cycle. The next chapter: I'm looking for a founding GTM or Startup AE seat at an AI lab or AI-native company where the buyer is technical and the product changes monthly.

1. 01

   Multi-thread from kickoff, not at procurement.

   By the second meeting I want a VP/RevOps champion, the CRO or CEO as economic buyer, and a named engineer + InfoSec reviewer in the room or in Slack. Procurement is where most AE deals die because the technical and security work was deferred — I run it in parallel from day one.

2. 02

   MEDDICC, then a 90-day adoption plan.

   Closed-won is not the finish line for an AI product. At Revenoid the customers that hit 90%+ rep adoption and +25% pipeline in 4 weeks all had a documented 90-day plan signed before launch. The ones that didn't, churned. I sell the plan, not just the contract.

3. 03

   I write the security packet myself.

   SOC 2, DPA, data-handling reviews, sub-processor maps, retention policies. Founder-led security responses move 3-5x faster than the AE-engineer ping-pong loop most cycles devolve into. For an AI product where the buyer's lawyer has never seen anything like this before, that speed is the deal.

4. 04

   Hand-sell the first fifty. Then build the motion.

   At EvaBot I hand-sold the first 50 customers in person before I ever wrote an SDR script. At Revenoid I closed 17 logos before hiring an AE. The motion you build by hand — the ICP, the qualification frame, the security packet, the demo script — is the one that scales. The one you copy from a SaaS playbook is the one that doesn't.

I started as a Siebel CRM developer at Infosys building enterprise software for British Telecom and Unisys Japan. I left to join the founding team of one of India's first programmatic media trading platforms. I founded a mobile marketing unit at Indigo Consulting (then a Leo Burnett company) that won three Abby Awards and got me named AVP by 31. I joined Disney Star to build the first dedicated digital media team for India's largest TV network and helped launch Hotstar — 10 million installs in 40 days. In 2016 I co-founded EvaBot, one of the first B2B applications of conversational AI, and spent eight years scaling it from zero to a Series A enterprise motion that closed Cigna and Anthem. In 2024 I co-founded Revenoid because the agentic-AI moment was too important to watch from the sidelines.

Some of the print links go back over a decade — a few of the older Indian outlets change their URLs frequently. If a link is dead, I keep a local archive.