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Would You Let an AI Agent Run Your Partnerships?

Three people who see it from very different sides, on what AI agents should own in partnerships and sales, what should stay human, and how to trust the agents you do use.

Would You Let an AI Agent Run Your Partnerships? with Mike Bray, Snehansu Shekhar and Dhanush Jain
Would You Let an AI Agent Run Your Partnerships? event recording

What we covered

Six questions shaped the conversation, each taken by the speaker closest to it:

  1. Which partner and sales tasks agents already handle well (Snehansu)
  2. What changes when partners ship agents, not just apps (Dhanush)
  3. Who's accountable when an agent gets it wrong with a partner (Mike)
  4. How to judge whether an agent is trustworthy enough to talk to partners (Mike)
  5. The minimum human check in any partner-facing workflow (Snehansu)
  6. What regulated buyers ask before trusting an agent-driven vendor (Mike)

From the audience

Two questions that came up in the comments:

"Would the task of testing be for the partnership manager or a GTM engineering type role?" Our take: split it. A GTM engineer (or RevOps) builds and tests the workflow: data, prompts, guardrails, and what happens when something breaks. The partnership manager owns the final check: is it accurate, is the tone right, would I send this to my partner? One builds it, the other is accountable for what it says.

"It's like penguins standing on an ice shelf, each one waiting to see who will take the first plunge into the ocean of AI." Our take: you don't have to jump. Dip a flipper first. Start with work no partner ever sees (partner research, account mapping, reporting). Then let agents draft while a human sends. Keep commissions, negotiations and saying no human.

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FAQ

A partner ecosystem is a network of organizations that collaborate to jointly deliver value and accelerate growth beyond what either could achieve alone. According to Sharkdom reports, in 2025 ecosystems are a strategic growth lever influencing over 30% of B2B revenue and playing a pivotal role in customer acquisition and innovation.

Start by mapping your ideal partner profile the same way you'd map an ideal customer profile, then prioritize a handful of high-fit partners over a long list of loosely aligned ones. Pair that with a clear onboarding motion, shared goals, and a single source of truth for tracking partner-sourced pipeline so momentum is visible from week one.

Partnerships should sit alongside sales and marketing as a third, complementary revenue channel — sourcing new pipeline, influencing deals already in motion, and extending your product's reach through integrations and co-selling. The strongest GTM motions treat partner teams as revenue owners, not just a support function.

Track partner-sourced and partner-influenced pipeline and revenue, time-to-first-deal per partner, and the percentage of active partners generating deals in a given quarter. Rounding these out with partner engagement and co-sell win rates gives a fuller picture of ecosystem health beyond just the number of signed partners.

Look for overlap in target customer profile, complementary (not competing) product functionality, and a partner's own motivation to co-sell — willingness to invest time matters as much as market fit. Sharkdom's account mapping helps surface these overlaps automatically instead of relying on guesswork or cold outreach.

Start small. A handful of engaged, well-matched partners will teach you more about what makes your ecosystem work than a long list of logo partnerships that never activate. Once you have a repeatable playbook proven with a few partners, it scales far more predictably to larger or more numerous relationships.

You need a clear owner for partnerships (even part-time early on), a CRM-integrated system for account mapping and deal registration, and cross-functional buy-in from sales so partner-sourced leads actually get worked. Without that internal alignment, even great partners struggle to generate revenue.

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