VeriTest executive Lena initiated the dissolution of the firm's AI Evaluation Platform, a project she originally proposed and launched 12 months prior. Internal analysis revealed the platform was operating at an 89% negative margin, costing $200K per quarter while generating only $22K in revenue with 12 active users. Conversely, the company’s internal delivery methodology system, which supports $3M in annual delivery and maintains a renewal rate 17 percentage points above industry standards, had been operating on a marginal budget of only $9K per quarter.

To resolve the financial imbalance, Lena proposed a restructuring plan to the board. This plan dissolved the standalone AI product team and redistributed five employees to consulting delivery lines, while two staff members remained to oversee core engine maintenance. The restructuring redirects $67K per month in operational spend, allocating $54K to upgrade the delivery methodology system and $13K to support engine operations. The board approved the recommendation after Lena demonstrated that embedding AI capabilities into existing workflows would provide more sustainable long-term competitiveness than maintaining a struggling independent product.

Ninety days after the transition, the firm’s delivery knowledge base expanded from 40 to 120 cases, and the ramp-up time for new consultants decreased from ten weeks to seven. VeriTest's client renewal rate saw a 1.2 percentage point increase during the quarter. The core engine models were successfully integrated into standard due diligence reports as automated analysis modules, maintaining functional utility without the overhead of a standalone product unit. This strategic shift preserved the firm's foundational knowledge infrastructure by utilizing resources formerly tied up in a non-profitable AI venture.

VeriTest executive Lena initiated the dissolution of the firm's AI Evaluation Platform, a project she originally proposed and launched 12 months prior. Internal analysis revealed the platform was operating at an 89% negative margin, costing $200K per quarter while generating only $22K in revenue with 12 active users. Conversely, the company’s internal delivery methodology system, which supports $3M in annual delivery and maintains a renewal rate 17 percentage points above industry standards, had been operating on a marginal budget of only $9K per quarter.

To resolve the financial imbalance, Lena proposed a restructuring plan to the board. This plan dissolved the standalone AI product team and redistributed five employees to consulting delivery lines, while two staff members remained to oversee core engine maintenance. The restructuring redirects $67K per month in operational spend, allocating $54K to upgrade the delivery methodology system and $13K to support engine operations. The board approved the recommendation after Lena demonstrated that embedding AI capabilities into existing workflows would provide more sustainable long-term competitiveness than maintaining a struggling independent product.

Ninety days after the transition, the firm’s delivery knowledge base expanded from 40 to 120 cases, and the ramp-up time for new consultants decreased from ten weeks to seven. VeriTest's client renewal rate saw a 1.2 percentage point increase during the quarter. The core engine models were successfully integrated into standard due diligence reports as automated analysis modules, maintaining functional utility without the overhead of a standalone product unit. This strategic shift preserved the firm's foundational knowledge infrastructure by utilizing resources formerly tied up in a non-profitable AI venture.