The energy sector is capital-intensive with asset health being the primary leading indicator of operational integrity. As the Oil & Gas industry sees a 53% surge in CAPEX, the volume and velocity of data have outpaced traditional human evaluation methods. Zemoso partnered with an oilfield services leader to realize their vision of bridging this "intelligence gap" by deploying an Agentic AI Layer that shifts the engineering paradigm from manual data retrieval to high-value strategic decision-making.
Offshore rigs generate 1 to 10 TB of data daily across 40,000+ data tags, making manual oversight mathematically impossible, and with 80% of OPEX tied to Integrity Management, inefficiencies in asset health scoring directly erode the bottom line. Engineers were spending the majority of their time on data retrieval and triage rather than analysis, relying on a 250+ question questionnaire customers often ignored and manually validating data across siloed sources - a 500+ hour-per-customer process for KPI scoring and reporting alone.
Zemoso engineered a "Human-in-the-lead" system powered by Amazon Bedrock, utilizing a fleet of specialized AI agents to automate the heavy lifting of Asset Integrity Management.
Through this partnership, Zemoso showed that the shift to Agentic AI isn't about replacing human expertise - it's about liberating it. By automating the data-intensive backstage work, asset engineers can now function as true strategists, safeguarding the safety and longevity of critical energy infrastructure.
