The shape of partner that tends to fit
Our partners fall into four broad groups. The first is regional systems integrators and consultancies that already hold strong client relationships in their territory and that want to add a credible AI delivery capability without building one from scratch. The second is enterprise software vendors who want their products to be the platform on which intelligent features run, and who would rather work with a delivery partner than build the data-science function themselves. The third is independent software vendors with a vertical specialism whose product would benefit from an embedded ML capability. The fourth is large client organisations whose internal teams want a long-term external delivery partner rather than a sequence of shorter consulting engagements.
Across all four, the partners we keep tend to share a few characteristics. They have a clear identity in their market that they are unwilling to dilute. They have technical leadership that can engage with our work substantively. They are willing to invest in joint enablement rather than expecting us to be the cavalry on every opportunity. And they care about the outcome the client receives more than about the size of the next invoice.
We have learned the hard way to be selective. The cost of an unsuccessful partnership — to both sides, to the client in the middle, and to the wider market's perception of either firm — is high enough that the bar for entering one is correspondingly high.










