The decision behind the work
A technology-enabled services company had accumulated dozens of AI pilots across sales, support and internal operations. Several demos looked promising, but few had moved into scaled workflows and leadership lacked a common method for deciding where AI investment should continue.
What Prime did
Prime Advisors evaluated each use case against economic value, data readiness, workflow redesign requirements and adoption risk. We reduced the portfolio to a smaller group of use cases where technology could materially change the cost or quality of a core process.
Together with functional owners, we redesigned the underlying workflows, set adoption metrics and established governance for model performance and human review. The emphasis was on operating change rather than simply deploying additional tools.
The impact
Eight use cases reached scaled deployment and the strongest workflows delivered a 2.4x productivity improvement. Management also gained a consistent investment framework for evaluating the next wave of AI opportunities.
What changed after the engagement
The immediate result mattered, but the larger objective was to leave management with a clearer way to make the next decision. The team finished with a common fact base, a shared view of the value drivers and a governance rhythm that continued after Prime Advisors stepped away.