How do you prioritize which portfolio companies get AI first?
Four factors drive the sequencing. First, highest ROI potential: where does AI save the most time or money? Second, most receptive leadership: executive sponsorship matters more than any technical variable. Third, cleanest data: companies with better data infrastructure need less preparation and deliver results faster. Fourth, potential for early wins that build momentum across the entire portfolio.
We score each company on these factors and recommend a sequencing plan. The math is straightforward, but the psychology is what most firms miss. You want your first AI deployment to succeed visibly. That success story becomes your internal case study, the proof point that gets the next three companies to say yes without a fight.
The goal is to create visible success fast enough that the rest of the portfolio wants in. We have seen this pattern work across dozens of PE portfolios. Start with the right company, deliver undeniable results, and adoption spreads on its own.