Page: https://closedwonlabs.com/about/ · Markdown twin for agents · updated 2026-10-18

# Kaveh Beigi

I help companies rebuild their go-to-market for AI agents. I've built it the traditional way for years, and I build with agents every day.

For a decade I've built and run go-to-market for B2B companies in software, data and financial services, at director and VP level: the strategy and the plan, the systems underneath, the demand that fills them, and the content and presence that make a company credible.

Today I build that work with agents. Workflows I design do the research, the drafting, the watching and the record-keeping; people make the calls. Closed Won Labs is where I do it for clients, one area of Closed Won OS at a time.

## Selected results

- A paid social programme I ran at Sustainalytics turned roughly $400K of annual spend into about $18M in pipeline and $6M to $7M in closed revenue.
- $2.5M in net-new pipeline and qualified leads tripled, from about 3,000 to 9,000 MQLs over two years.
- Go-to-market for Canada's first professional tax-return SaaS: 65% trial-to-paid and $1.8M in incremental ARR.
- Consolidated four sites into one and launched the SEO programme: organic traffic up 220%, web became the number one lead source, CAC down 20%.

## Writing

- [Your Next Customer Is an AI Agent](https://closedwonlabs.com/essays/your-next-customer-is-an-ai-agent/) (essay, Closed Won Labs, 2026)
- The Architecture of Investor-Grade AI: Lessons From Climate Intelligence (co-author, Glass Lewis, 2026)
- The Most Advanced AI Model Can Also Be the Most Fragile: A Lesson for Investment Stewardship (Glass Lewis, 2026)
- AI and the Fiduciary Test: A Guide for Institutional Investors in Evaluating AI Proxy Voting Solutions (co-author, Glass Lewis, 2026)

## Get in touch

Email [hello@closedwonlabs.com](mailto:hello@closedwonlabs.com), or start with the [Shortlist Score](https://closedwonlabs.com/scan/).