Industrial AI firm Seeq and connected worker platform Innovapptive are partnering to link analytical insights directly to frontline factory operations.

The collaboration, supported by Accenture, aims to close the “execution gap” where predictive alerts often fail to result in timely field actions.

The integrated system creates a closed-loop workflow designed for the energy, chemical, and manufacturing sectors. Under the framework, Seeq’s AI platform identifies operational anomalies in real time and triggers automated, context-rich work instructions. These are sent to technicians’ mobile devices via Innovapptive’s platform for immediate execution.

Broadly, the partnership aims to focus on reducing unplanned downtime through faster transition from detection to intervention, and AI-driven safety protocols tailored to specific detected faults. It will also aim to improve machine learning accuracy via field feedback loops, and enable standardised digital workflows from cloud systems to ruggedised tablets.

Industry data cited by the companies suggests that more than 70% of predictive alerts currently fail to trigger a field response because office-based analytics are disconnected from plant floor operations. The partnership intends to resolve this by ensuring data from field resolutions flows back into the AI models to refine future accuracy.

“By partnering with Innovapptive, we are ensuring that the intelligence generated within Seeq reaches the person best equipped to solve the problem,” said Dr. Lisa Graham, CEO of Seeq. The companies reported that a pilot project with a global oil and gas major resulted in a 22% reduction in Mean Time to Repair (MTTR).