Every PE fund with professional services portfolio companies in tax, legal, consulting, and financial services is living some version of the same problem at two altitudes. At the fund level, it is a value creation question: can this business scale without scaling headcount proportionally. At the company level, one layer down, it is more concrete: case and client volume outgrowing what manual, fragmented processes can absorb, with no structured data foundation to apply AI against consistently even where the will is there. This session brings operating partners together to work through that gap directly by discussing:

• Scaling capacity without scaling cost: grow and compete without scaling headcount at the same rate
• Volume of work outpacing process: manual, fragmented workflows can't absorb the case volume
• Data readiness for AI, and matching AI ambition to absorption: how much change can the business take on at once?
• Trust and judgment in regulated work
• Evolving AI capability, not a one-time project
• Avoiding long term vendor dependency
• Choosing the right AI partner: what matters beyond raw AI for regulated, judgment-heavy work
• What it costs and takes: real figures on cost, timeline, and team composition