solution: AI-Driven Field Operations Optimization

Give field teams smarter recommendations in the moment.

Field teams often struggle with inefficient workflows, inconsistent access to operational information, and delays caused by disconnected systems. These gaps increase operational downtime, extend service cycles, and limit the ability to make informed, real-time decisions during field activities.

  • Fragmented data across work management, SCADA, GIS, maintenance logs, and mobile tools.
  • Manual routing and scheduling processes that reduce field productivity.
  • Limited visibility into equipment history, asset status, or required procedures while onsite.
  • Inconsistent execution of operational tasks due to lack of standardized guidance.
  • Lagging indicators and delayed reporting that prevent effective decision-making.

Frame delivers an AI-enabled field optimization platform that integrates operational data, real-time telemetry, and historical work activity into a unified lakehouse. Intelligent recommendations, optimized routing, and contextual insights help field teams execute tasks more efficiently, safely, and consistently.

  • Centralized lakehouse integrating SCADA, CMMS, work orders, GIS layers, and field mobility data.
  • AI-driven routing and scheduling models that prioritize tasks based on impact, location, and urgency.
  • Contextual task guidance with asset history, procedures, and real-time equipment condition.
  • Automated identification of operational anomalies and recommended field actions.
  • Mobile-first insights that support field technicians in remote environments.

Field operations become more efficient, predictable, and data-driven. Organizations experience reduced travel time, improved first‑time fix rates, and greater workforce productivity. The solution strengthens operational consistency and accelerates decision-making across field activities.

  • Higher field productivity through optimized routing and scheduling.
  • Improved first-time fix rates with contextual task insights.
  • Reduced downtime due to proactive detection of operational anomalies.
  • Standardized execution of field procedures aligned with best practices.
  • Faster reporting and decision-making enabled by real-time data access.
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