solution: Automated Quality & Compliance Analytics

Bake compliance into the flow—without slowing production.

Regulatory reporting and compliance processes are only as good as the data behind them.

This solution provides end-to-end visibility for quality and compliance organizations enabling an AI-led operational framework to increase transparency and productivity.

Quality and compliance processes in industrial and energy operations rely heavily on manual inspections, spreadsheets, and disconnected reporting systems. These fragmented workflows make it difficult to detect deviations early, ensure regulatory alignment, and maintain consistent quality standards across facilities or product lines.

  • Manual inspection and audit processes that are slow, error-prone, and inconsistently documented
  • Disparate systems for quality events, lab results, work orders, and compliance requirements.
  • Limited ability to identify recurring quality issues or root-cause patterns across operations.
  • Time-consuming reporting cycles for internal audits and regulatory submissions.
  • Inability to perform real-time monitoring of quality indicators or threshold breaches.

Frame builds a centralized quality and compliance analytics platform that unifies inspection, operational, lab, and regulatory data into a single lakehouse environment. Automated monitoring, rule-based alerting, and AI-driven insights help organizations identify deviations earlier, streamline compliance workflows, and proactively improve product and operational quality.

  • Integration of inspections, lab systems, SCADA, incident records, and compliance documentation into a unified Databricks lakehouse.
  • Automated quality rule engines that detect out-of-spec conditions and trigger alerts.
  • AI-driven analytics that identify root causes and recurring quality deviations.
  • Standardized reporting pipelines for audits, compliance reviews, and management visibility.
  • Dashboards that monitor real-time quality indicators across facilities, product lines, or equipment fleets.

Organizations gain tighter control over quality outcomes, faster deviation detection, and more reliable compliance reporting. This reduces operational risk, enhances customer confidence, and ensures consistent standards across the enterprise.

  • Earlier detection of quality issues through automated monitoring and alerts.
  • Reduced regulatory and audit burden with standardized, repeatable reporting workflows.
  • Improved product and operational quality through AI-driven root-cause insights.
  • Lower risk of non-compliance penalties or production disruptions.
  • Greater transparency and alignment across operations, quality, and compliance teams.

Our Approach – Minimize risks and maximize return.

Frame delivers with confidence through proven, repeatable methods that reduce cost overruns, project delays, and operational uncertainty. Our AI-enhanced delivery model helps to ensure consistent execution across cloud-native, analytics-driven architectures—while hyper-local teams and nearshore scale drive efficiency without compromising quality. Frame’s prebuilt accelerators, reusable IP, and tight feedback loops fast-track speed-to-value while maintaining full transparency and shared accountability every step of the way.

Discover & Design

Start with business goals, identify the right opportunities, define the value and chart a clear plan.

Build & Modernize

Extend and modernize your data and architecture with scalable platforms and secure pipelines while complimenting your existing systems.

Scale & Evolve

Scale high-impact AI use cases, establish sustainable governance, and evolve with frameworks that support agility, adoption, and long-term value.

Value Delivery

We don’t just modernize—we deliver outcomes you can measure: faster cycles, smarter operations, and durable solutions that evolve with change.

Let’s chat about how we can serve your AI needs:

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Built for these Industries

This solution helps serve and benefit these industries:

Frame’s Services

This solution utilizes the following services:

Case Studies

Real-time Pipeline Intelligence

A North American midstream energy company operated with fragmented operational systems and minimal analytics capabilities.

Pipeline Operator – Leak Detection Analytics

A major pipeline operator managing thousands of miles of midstream assets faced increasing pressure to detect potential leaks and abnormal line behavior faster.

Petrochemical Plant – GenAI Operator Assistant

A major petrochemical plant faced increasing pressure to maintain high uptime while operating complex process units with aging equipment and a shrinking pool of experienced operators.