Author: Sudhir Setty, Banimo, Strategic Advisor // Sudhir Setty is a global technology and partnerships executive with deep expertise in cloud, marketplace, co-sell, and enterprise transformation, including leadership roles at AWS and Intel.

AI is about to take a meaningful amount of work out of co-selling. That is good news. It is also going to expose a weakness in a lot of partner organizations.

What do we see at Banimo? Much of what partner teams spend their time doing today isn’t really partnership work, but rather logistics. Account mapping. Chasing deal-registration updates. Reconciling attribution. Researching contacts. Preparing briefs. Updating systems. Rebuilding reports that were out of date almost as soon as they were created.

Crossbeam estimates that 30–70% of a partner manager’s time can go to this kind of non-revenue work. 

An agent can continuously monitor CRM data for account overlap. It can build and refresh an account map rather than waiting for someone to create one once a quarter. It can rank potential partners against an opportunity, enrich missing contacts, draft the co-sell brief, pre-fill a deal registration and assemble the attribution report. 

None of that is speculative in the sense that we are waiting for some future version of AI to arrive. The ecosystem platforms are already moving in this direction. The mechanics of co-sell are going to compress and those of you working with hyperscalers are seeing this already.

The “middle” of a partner motion doesn’t disappear.

Someone still has to decide which partner deserves the company’s attention. Someone has to convince a seller that bringing a partner into a live opportunity will make the deal better rather than more complicated. Someone has to navigate channel conflict, margin, executive relationships and the inevitable moments when the interests of two companies do not line up perfectly. And, most importantly, someone still has to stand in front of the customer.

That is where valuable partnership work actually happens and delivers outcomes.

The emerging division of labor is fairly clear. Machines are increasingly good at detecting the signal, assembling the information and preparing the next action. Humans remain responsible for judgment, trust and execution. The handoff between the two will matter enormously. An agent can draft the co-sell brief. It should not automatically send the message that puts your company’s name in front of a partner’s customer. 

To illustrate the situation, consider a mid-market software company working with a large systems integrator. On paper, the relationship may look healthy. In practice, every co-sell was bespoke. Account maps were rebuilt manually. Overlapping deals are often discovered by accident. Attribution reconstructs at quarter-end. Net: The partner team’s best people spent much of their time managing data rather than creating revenue. 

When repetitive work like that is automated, the opportunity isn’t simply to make the existing process cheaper; it is to redeploy the partner team toward the work that actually changes outcomes.

Spend more time with sellers. Get involved in opportunities. Build joint propositions that make sense to a customer rather than simply announcing another partnership. Create executive sponsorship where it matters. Help the partner position the product. Resolve the commercial friction that prevents a good relationship from becoming actual pipeline.

In a blended AI/people partner cosell motion, key questions are whether the ecosystem is producing effective co-sell motions. Are the right partners engaged in the right opportunities? Are those opportunities moving? Are sellers using the ecosystem because it improves their chances of winning?

The moat is the accumulated trust between companies and people. It is the judgment to know where to invest. It is the credibility to get a partner’s seller to take your call when there is a real opportunity on the table.

Partner leaders have to resist the temptation to use the technology simply to do more administration, faster.

Our real opportunity is to automate the work that never should have consumed so much of the partner team’s time in the first place, then put that capacity back where it belongs, into relationships, judgment and revenue.