Case Study · Named engagement · 2022 to 2023

Abyss Solutions

Robotics, AI & ML for asset integrity Fractional CPO

Situation

Autonomous inspection for critical infrastructure. Robotics, AI, and ML for assets that cannot afford surprises, sold to buyers who demand proof. A product org of eight product managers and three designers shipping hard tech without a shared metrics layer, and a board without a clear line of sight into product performance.

Intervention

Installed the measurement layer first. One KPI system built with Operations, Engineering, and Finance, product analytics in the product with Pendo and Amplitude, and monthly board reporting on product performance, market trends, and the competition. Rebuilt product development around North Star and Jobs To Be Done, then pointed the team at the largest bet, an AI and ML inspection product for a Fortune 10 client. The analytics also exposed who was actually buying, which reworked the sales process and the primary buyer personas.

Outcome

$1.4M

New revenue from the AI and ML product launched for a Fortune 10 client

170%

Increase in asset integrity coverage over previous methodologies

25%

Reduction in time-to-market after the North Star and JTBD rebuild

The Point

The robots were never the hard part. The hard part was making product performance visible: one KPI system across Operations, Engineering, and Finance, analytics inside the product, and a board reading the same numbers as the team. When everyone sees the same truth, a Fortune 10 launch is the consequence, not the moonshot.

Metrics drawn from company operating data, commercial records, product analytics, or board materials. Methodology and references available in qualified diligence.