Synopsis: Sam Gong, senior vice president of marketing for Workspan, explains how generative artificial intelligence (AI) will soon make it simpler for individual teams and entire organizations to align partnership goals and outcomes.
Today, no one—not even the hyperscalers—can innovate fast enough alone. Building an AI solution usually means stitching together chips from Nvidia, foundation models from Anthropic or Google, and a cloud platform on top. That mash-up adds a second tax: the complexity of keeping sales, support and delivery teams aligned.
AI can lighten the load. Instead of a static partner portal, an AI copilot can absorb call recordings, briefing decks and Slack threads, then surface the right talking points or escalation path while a rep is still on the phone. The aim isn’t to cut head count; it’s to give each person more leverage so smaller accounts don’t lag and big deals get proper attention.
The benefits continue long after the ink dries. With an AI “institutional memory” tracking ownership and commitments, onboarding new team members speeds up and post-sales hand-offs get smoother. Customer issues can be triaged faster because the system already knows which vendor touches which layer.
They close with a caveat: none of this works without clean, well-tagged data. Yet Gong is optimistic. If teams invest in data hygiene now, they’ll be ready for partner ecosystems where shared intelligence—not endless status calls—keeps everyone rowing in the same direction. It’s a pragmatic take on how AI can create real daylight between good intentions and great execution, in an increasingly crowded AI marketplace.
