The transformation was in the operating model: AI support around each staff role, with human responsibility retained.
The operating question
Growing investor and portfolio work puts pressure on the people who gather information, prepare analysis, coordinate decisions and follow through. Adding more tasks to the same team can slow the work and weaken judgement. Touchstone's newer project asked how to expand capacity while keeping the team the same size.
The owner describes the response as an AI exoskeleton for each staff member: role-specific support built around the person's work rather than a single central chatbot.
Designing support around people
The exoskeleton approach gives each person AI assistance for the information and repeatable steps in their role, while leaving review, decisions and accountability with staff. The useful design question is what context the AI needs, what it can prepare, and what a human must verify before the work moves on.
The owner frames the change as an exoskeleton: support that expands each person’s capacity while they remain responsible for their investor and portfolio work.
The reported capacity gain
The owner reports that Touchstone quadrupled the investor and portfolio work handled by the team without growing headcount. That is a substantial operational result, but the available project files do not yet define the unit of work, baseline period or quality measures behind the comparison.
The comparison is about work volume. It should not be read as a fourfold increase in profit, deal volume or the productivity of every individual staff member.
Why this matters for leaders
Role-specific AI changed how Touchstone handled investor and portfolio work while keeping review and judgement with people. The owner reports fourfold work volume at unchanged headcount. That capacity could help an investor support companies growing across markets; the record does not establish more cross-border deals or higher fund returns.
