Valerii Vashchenko
Ex-lead of a bank AI team:
Decisioning and recommendation systems, analytics, risk scoring.
Advisory still depends on a model built around people, hours and review. All three are getting harder to sustain.
Fixed teams meet an uneven pipeline
People are the largest cost of delivery. Firms carry capacity between engagements, then compete for the same people when demand peaks.
The team on the next engagement is never quite the same
Junior turnover is high, experience varies, and knowledge leaves with people. Yet the standard of the work cannot depend on who happens to be available.
Too much senior time goes into review
Partners and directors still spend hours checking numbers, tracing evidence and correcting inconsistencies. Every hour spent reviewing avoidable errors is an hour not spent with clients.
The tools have barely changed. The work has.
Advisory still runs largely on Excel, Word and PowerPoint. New technology has to fit that workflow rather than force teams to relearn how they work.
General-purpose AI is not advisory infrastructure
Specialist work needs the firm's methodology, controlled access to client data, repeatable workflows and outputs that can be traced back to evidence.
Show us an advisory workflow that takes too much time, senior attention or manual work. We will tell you where we think technology can change it, and where it cannot.