Dan Sincavage

Ecosystem strategy

AI partnerships that produce revenue, not press releases

What separates an alliance with a major platform that drives real pipeline from one that produces a logo slide.

Portrait of Dan Sincavage, founder of Synagentis Group.
Dan Sincavage
Founder, Synagentis Group
·7 min read

I have spent a large part of my career on the inside of partnerships with the largest platform companies in the world — Google, Meta, Amazon, Microsoft, Apple, Salesforce, NICE, Avaya. Some of those relationships produced a majority of a company's revenue. Others produced a joint press release and a Slack channel that went quiet in ninety days. The difference was rarely the quality of the technology or the seniority of the executives who signed.

The AI cycle has made this worse, not better. Every enterprise software company now has a reason to announce a partnership with a model provider or a hyperscaler, and the announcement itself carries short-term narrative value. That creates a strong incentive to optimize for the announcement and stop there.

Why most AI alliances stall

The failure pattern is consistent enough to be diagnostic. An alliance gets signed at the executive level, where both companies are talking about strategy and market direction. It then has to be executed at the field level, where an account executive is deciding how to spend the next hour of their week. Nothing in the executive agreement reaches that person.

  • No shared account map. Both sides claim overlap but neither has named the specific accounts, the specific reps, and the specific quarter.
  • No compensation alignment. The partner's seller gets no quota relief, no accelerator, and no credit for the joint deal, so the joint deal is the first thing that falls off their list.
  • Integration built ahead of demand. Engineering ships a connector because the partnership agreement called for one, before a single customer has said they would switch vendors to get it.
  • No single owner with authority. Alliances tend to be everyone's priority and nobody's job, and they degrade the moment the executive sponsor on either side changes roles.

None of these are technology problems. They are incentive and operating problems, and they are solvable, but only if you design for them before the announcement rather than after.

The activation model

The model that has worked for me starts from a simple constraint: a partnership can only run through a motion the partner's field organization already gets paid on. If you have to change how the partner compensates their sellers for the partnership to work, you do not have a partnership — you have a request.

So the first question is never what we could build together. It is which of the partner's existing sales motions has a gap our capability fills, and whether closing that gap makes their seller's quarter easier. Sometimes that is a consumption motion where our product drives measurable platform usage. Sometimes it is a competitive displacement where our capability is the reason their deal closes instead of stalling. Either way, the joint value proposition has to be written in the language of the partner's quota.

Build the joint value proposition around the partner's quota, not your roadmap. Everything else follows from that.

From there the sequence is mechanical. Name twenty accounts where both field teams are already engaged. Get both sets of reps in the same room with a specific reason to be there. Run the first five joint pursuits with an alliance leader personally attached to each one, because the early deals are how the field learns whether the motion is real. Only then invest in enablement at scale, and only then build the deeper integration, because by that point you know which capability the deals actually turned on.

Instrument sourced and influenced pipeline from the first week. Not as a reporting exercise — as the mechanism that keeps the partnership funded. Every alliance is competing internally for engineering time and marketing budget, and the only durable defense is attributable pipeline.

Monetization and governance

An activated partnership eventually needs a commercial structure that survives changes in leadership. Cloud marketplaces are the most underused instrument here: a listing with private offers turns the partner relationship into a transactable channel, gives the customer budget relief against an existing commitment, and creates a clean attribution trail that both finance organizations accept.

Governance should be lighter than most companies make it and more specific. One quarterly business review with both field leaders present, built around three numbers: sourced pipeline, influenced pipeline, and joint closed revenue. A written escalation path with two names on it. An annual decision point where either side can say the motion is not working.

That last part matters. The willingness to end a partnership is what keeps the rest of the portfolio honest. Most companies carry three or four alliances that consume real engineering and marketing capacity and produce nothing measurable, largely because ending one feels like an admission of failure. It is not. It is portfolio management, and it frees the capacity that makes the next partnership work.

The test

A simple test for any AI partnership you are considering: if the announcement were cancelled tomorrow but the work continued, would anyone on either field team notice? If the honest answer is no, the partnership is a communications asset, not a revenue one. That is a legitimate thing to want — it just should not be confused with a growth strategy.

Work with me on this

If this maps to a situation you're facing, I'd welcome the conversation.

dan@synagentis.com