Partner Events: B2B Event Marketing That Puts Target Accounts in the Room
Partner events run soup to nuts: invite lists from partner data, registration, venue and follow-up, measured by target accounts in the room.
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Giving every partner manager their own AI tool doesn’t add up to a program. Here is why one AI team, with shared data, shared rules and human approval, works better, and how to bring your own agent.
Read ArticlePartner events run soup to nuts: invite lists from partner data, registration, venue and follow-up, measured by target accounts in the room.
Prepaid, $1 for $1 and good for 12 months: GTM credits turn leftover MDF into GTM motions you run when you’re ready.
Demand generation run through the partners your buyers already trust, often partner-funded and measured in SQOs and cost per SQO.
Giving every partner manager their own AI tool doesn’t add up to a program. Here is why one AI team, with shared data, shared rules and human approval, works better, and how to bring your own agent.
Read ArticleCo-sell automation covers overlap alerts, intro requests, nudges and attribution. It is only the start. But acting only on alerts underuses your partner data. Here is how Crossbeam’s MCP and AI agents turn overlaps into actions.
Read ArticleCrossbeam’s MCP server puts your partner data inside the AI tools you already use. Here are the prompts that move pipeline by role, and how co-sell automation and campaign operations run on it across dozens of partners.
Read ArticleWhat is an AI-native PRM? Short answer: An ai-native prm is a partner relationship management platform built from the ground up around AI capabilities rather than bolted on later. It treats the data model, the user interface, and the workflow layer as AI-first surfaces from day one. That distinction matters because traditional PRMs were architected […]
Read ArticleAn AI partner manager is software that automates the operational layer of a human partner manager’s job: tracking partner activity, surfacing co-sell opportunities, drafting partner communications, capturing attribution, and producing executive-ready reports. It does not replace the human relationship-building work, which is irreducible. The defensible model: AI handles the 60 to 70 percent of partner […]
Read ArticleAgentic partner ops is the application of autonomous AI agents to the operational layer of partnerships work: agents that take actions, not just surface recommendations. Where AI partner manager (the previous generation) drafts emails for human approval and surfaces opportunities for human action, agentic partner ops executes the workflow end-to-end. Send the partner check-in email. […]
Read ArticleThe “AI vs PRM” framing in 2026 is misleading because it collapses three different things into a binary. There are AI-native PRMs (Introw and Euler, purpose-built around AI agents and CRM-native architecture), traditional PRMs that have added AI features (Impartner, PartnerStack, ZINFI, MindMatrix’s Bamboo AI), and AI-native co-sell orchestration platforms that sit above the PRM […]
Read ArticlePartner conversation intelligence is the application of AI-powered call analysis (the technology Gong, Chorus, and Clari pioneered for direct sales calls) to partner-facing conversations: joint customer calls, partner manager check-ins, joint discovery calls, and partner activation sessions. Unlike direct-sales conversation intelligence, partner conversation intelligence has to handle two distinct speakers from different companies, attribution of […]
Read ArticleAI for partnerships is real, but most of what gets pitched as AI for partnerships is just dashboards with a chat box. Here is the honest line between what AI does well, what it does not, and how to tell the difference.
Read ArticleShort answer: Channelnomics reports that early adopters of AI in partner management see up to 40% faster deal velocity. However, that outcome is conditional on one prerequisite the citations leave out: data trust. Specifically, partner-attribution data, deal-registration data, partner-activity data, and joint-Slack data have to be reconciled before AI on top of them produces signal […]
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