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Connected Data for
Smarter Downstream Operations

BKOAI helps refiners and petrochemical operators connect operational and maintenance data, scale monitoring across the plant, and identify developing equipment issues earlier.

How BKOAI Supports Refinery Operations

Refineries and petrochemical plants rely on complex process units, equipment, and maintenance workflows. BKOAI brings operational and maintenance data together into a contextualized, analytics-ready foundation—helping teams identify developing issues earlier, expand monitoring coverage, and make more informed decisions across the plant.

Connect operational and maintenance data by combining historian data with work orders, inspection records, laboratory results, and equipment context.
Scale monitoring across similar assets using PI AF templates, Seeq analytics, and operating-condition-based thresholds.
Improve equipment reliability by distinguishing genuine performance degradation from expected changes following maintenance or operating-mode shifts.
Why Choose us

Connected Intelligence for Downstream Operations

BKOAI helps refiners and petrochemical operators connect operational and maintenance data, scale monitoring across similar assets, and improve equipment reliability using the systems already in place.

Connect process historian data with work orders, inspection records, and laboratory results, mapping tags to equipment and equipment to units in PI AF. This creates the context needed for reliable comparisons across time, units, and sites.

Build one validated analysis and apply it across assets of the same type using PI AF templates and Seeq. Operating-aware alert limits help identify fouling, coking, and heat exchanger performance loss before they affect rates.

Connect AVEVA PI, Seeq, and Databricks to bring operational history and maintenance records together, support engineering investigations, and train models that identify developing issues earlier.

Our blog
How Downstream Operators Apply BKOAI in the Field

BKOAI Real-World Downstream Success Stories

PI Tag Mapping for Contextualization Agents

BKOAI converted PI tag mapping into a structured reasoning workflow and stored the full decision path in a Context Graph, creating reusable decision memory with improved accuracy and traceability.

Asset Contextualization

BKOAI Templatized asset analytics unify KPIs and calculations, providing consistent insights for operators and managers, leading to better decision-making and improved operational efficiency.

Modernizing Data Infrastructure for Operational Independence

BKOAI Modernized data operations to enable independence from legacy systems, replacing critical workflows with faster, scalable solutions on Microsoft Fabric and Databricks—fully integrated with Power BI and PowerApps.
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FAQs

Common questions about BKOAI’s downstream solutions for connected operational and maintenance data, asset monitoring, equipment reliability, and data integration.
What types of downstream data can BKOAI connect?
BKOAI connects process historian data with work orders, inspection records, laboratory results, and maintenance history, organizing the data around equipment and process units for more consistent analysis.
How does BKOAI scale monitoring across similar assets?
BKOAI can build one validated analysis and apply it across assets of the same type using PI AF templates and Seeq analyses, extending monitoring coverage without recreating the analysis for every asset.
Does BKOAI replace existing downstream data platforms?
No. BKOAI works with existing platforms such as AVEVA PI, Seeq, and Databricks, connecting operational data, engineering analysis, and maintenance records without replacing the systems already in place

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