Mayank Bawa is the CEO and Co-founder of WorkSpan. The framing he brings to the AI-era partnership function lands on the operating model shift this report argues for: partnerships are moving from a relationship discipline to an operating discipline, and the ceiling for what AI can do for them is far higher than the industry’s current benchmark.
“For decades, partnerships were managed through the lens of ‘who you know.’ Now, they are powered by ‘how you operate.’ The companies that win the next decade won’t be the ones whose partner managers prepped faster. They’ll be the ones who operate the system of partnering action — automated and agentic — with provable attribution and trusted boundaries between companies that AI can cross safely. That’s what we built WorkSpan to do. The ceiling isn’t a few hours saved per week. It’s $80 trillion in ecosystem revenue. Let’s go get it.”
Three load-bearing claims sit in that statement. The first is a category-level reframe: partnerships as a system of action, not a system of relationships. The second is the architectural prerequisite: trusted cross-company boundaries that AI can operate inside, with attribution that holds up to audit. The third is the bar: the prize is not productivity gains for partner managers — it is participation in the $80T ecosystem economy.
That trio is the operating thesis behind everything in this report.
What practitioners ask
- “Who is Mayank Bawa?”
- “Who is the CEO of WorkSpan?”
- “What is Mayank Bawa’s vision for AI partnerships?”
The answer
Mayank Bawa is the CEO and Co-founder of WorkSpan, the partner revenue platform built on the thesis that partnerships are moving from a relationship discipline to an operating discipline. His framing of the AI-era function — “For decades, partnerships were managed through the lens of ‘who you know.’ Now, they are powered by ‘how you operate’” — is the operating model shift behind the report this wiki annotates.
Bawa is a repeat enterprise-software founder. He co-founded Aster Data Systems in 2005 with two fellow Stanford PhD students; the company pioneered massively-parallel analytics on commodity hardware and was acquired by Teradata for $263M in 2011. He holds a PhD in Computer Science from Stanford and a B.Tech. from IIT Bombay. He was named a Distinguished Young Alumnus by IIT Bombay after departing Aster in 2014.
The three load-bearing claims in his framing of the WorkSpan thesis — partnerships as a system-of-action, trusted trust-boundary cross-company boundaries that agentic-execution can operate inside, and the 80t-ecosystem ceiling — are the operating thesis behind everything in this report. Bawa’s bar is unambiguous: the prize is not productivity gains for the partnership-operator; it is participation in the $80T ecosystem economy, made addressable for the first time by AI that can act with provable attribution across company lines.
More from Mayank Bawa
- LinkedIn — current commentary on ecosystem strategy, AI in GTM, and co-sell operating models.
- The Partner Manager’s Job Has Split in Two (April 2026) — the dual mandate of trust-building and revenue conversion, and why AI removes the partner manager as the bottleneck without removing the trust infrastructure.
- The New AI Operating Model for Partner Revenue (April 2026) — “Every major partner program is running a 2019 operating model against a 2026 market.” The three architectural principles for modernizing partner ops.
- Lessons from Databricks: AI Partnerships and AI Partner Infrastructure (August 2025) — what the Databricks ecosystem teaches about AI-native partner architecture.
- WorkSpan’s Next Chapter: AI-Powered Partnerships and Series D Funding (March 2025) — the strategic pivot to agentic partner execution and the funding round that capitalized it.
Prior work. As CEO of Aster Data Systems (2005–2014), Bawa led the company through three rounds of venture funding from Sequoia Capital, First Round Capital, and IVP, the Teradata acquisition, and the post-acquisition integration as Teradata’s analytics-platform arm.
Related concepts
- 80t-ecosystem — the McBain-sourced $80T ceiling Bawa points to as the real prize
- system-of-action — the category-level reframe in his thesis
- trust-boundary — the architectural prerequisite for AI to cross company lines safely
- agentic-execution — what “automated and agentic” looks like in production
- partner-revenue-platform — the platform category WorkSpan defines
- partnership-operator — the role for whom this operating model is built