Energy
Applied AI
Product & Design
AI-Enhanced Motor Inspection for Drilling Operations
Motor inspections were inconsistent and hard to standardize, leading to unreliable recommendations in drilling operations. Arionkoder partnered with Turnco to evolve AI-Fit™, an AI-powered motor inspection system that improves accuracy, consistency, and decision-making in the field.
Motor inspections were inconsistent and hard to standardize, leading to unreliable recommendations in drilling operations. Arionkoder partnered with Turnco to evolve AI-Fit™, an AI-powered motor inspection system that improves accuracy, consistency, and decision-making in the field.
Energy
Applied AI
Product & Design
AI-Enhanced Motor Inspection for Drilling Operations
Motor inspections were inconsistent and hard to standardize, leading to unreliable recommendations in drilling operations. Arionkoder partnered with Turnco to evolve AI-Fit™, an AI-powered motor inspection system that improves accuracy, consistency, and decision-making in the field.
ALIGN
AI-Fit™ was created to modernize motor inspection reporting, helping drilling companies make better decisions based on data that reflects real drilling conditions.
While the system already had a functioning ML model, missing documentation and inconsistent input data were limiting its reliability.
We began with an in-depth discovery workshop, bringing together AI, product, and design teams to understand how inspectors worked in the field and how inspection data directly influenced model outputs.
ALIGN
AI-Fit™ was created to modernize motor inspection reporting, helping drilling companies make better decisions based on data that reflects real drilling conditions.
While the system already had a functioning ML model, missing documentation and inconsistent input data were limiting its reliability.
We began with an in-depth discovery workshop, bringing together AI, product, and design teams to understand how inspectors worked in the field and how inspection data directly influenced model outputs.
ALIGN
AI-Fit™ was created to modernize motor inspection reporting, helping drilling companies make better decisions based on data that reflects real drilling conditions.
While the system already had a functioning ML model, missing documentation and inconsistent input data were limiting its reliability.
We began with an in-depth discovery workshop, bringing together AI, product, and design teams to understand how inspectors worked in the field and how inspection data directly influenced model outputs.
PRIORITIZE
Through discovery, we identified two critical challenges:
Model reliability: inspection data lacked structure, documentation, and consistent inputs.
Inspector experience: the reporting interface made it easy to introduce errors and hard to understand results at a glance.
Improving accuracy required addressing both the AI pipeline and the human workflows feeding it.
PRIORITIZE
Through discovery, we identified two critical challenges:
Model reliability: inspection data lacked structure, documentation, and consistent inputs.
Inspector experience: the reporting interface made it easy to introduce errors and hard to understand results at a glance.
Improving accuracy required addressing both the AI pipeline and the human workflows feeding it.
PRIORITIZE
Through discovery, we identified two critical challenges:
Model reliability: inspection data lacked structure, documentation, and consistent inputs.
Inspector experience: the reporting interface made it easy to introduce errors and hard to understand results at a glance.
Improving accuracy required addressing both the AI pipeline and the human workflows feeding it.
Prove
Our ML experts refined and optimized the existing model by reviewing datasets, documenting selected features, and improving ML workflows.
New pipelines were introduced to incorporate feedback from the inspection app as model input.
At the same time, our product and design teams reworked the inspection flow. Guiding details were added to help inspectors enter more reliable data, and the UI was redesigned for clarity and speed.
The result was a refined ML model that combines manual measurements with data backed by over a decade of scientific field research — delivering accurate recommendations in 95% of cases.
Prove
Our ML experts refined and optimized the existing model by reviewing datasets, documenting selected features, and improving ML workflows.
New pipelines were introduced to incorporate feedback from the inspection app as model input.
At the same time, our product and design teams reworked the inspection flow. Guiding details were added to help inspectors enter more reliable data, and the UI was redesigned for clarity and speed.
The result was a refined ML model that combines manual measurements with data backed by over a decade of scientific field research — delivering accurate recommendations in 95% of cases.
Prove
Our ML experts refined and optimized the existing model by reviewing datasets, documenting selected features, and improving ML workflows.
New pipelines were introduced to incorporate feedback from the inspection app as model input.
At the same time, our product and design teams reworked the inspection flow. Guiding details were added to help inspectors enter more reliable data, and the UI was redesigned for clarity and speed.
The result was a refined ML model that combines manual measurements with data backed by over a decade of scientific field research — delivering accurate recommendations in 95% of cases.
Integrate
We integrated these improvements into a working inspection platform used in real drilling contexts.
A high-performance UI was built by combining existing chart libraries with custom components, making inspection reports easier to read and interpret.
To further reduce errors, the design team introduced custom icons representing each possible rotor-stator combination, allowing inspectors to quickly recognize configurations and validate inputs.
Integrate
We integrated these improvements into a working inspection platform used in real drilling contexts.
A high-performance UI was built by combining existing chart libraries with custom components, making inspection reports easier to read and interpret.
To further reduce errors, the design team introduced custom icons representing each possible rotor-stator combination, allowing inspectors to quickly recognize configurations and validate inputs.
Integrate
We integrated these improvements into a working inspection platform used in real drilling contexts.
A high-performance UI was built by combining existing chart libraries with custom components, making inspection reports easier to read and interpret.
To further reduce errors, the design team introduced custom icons representing each possible rotor-stator combination, allowing inspectors to quickly recognize configurations and validate inputs.
Scale
AI-Fit™ is part of a broader product suite. To support scale and long-term consistency, Arionkoder created a shared UI component library using Storybook.
This reduced UI maintenance, ensured consistency across products, and made it easier to evolve the platform over time.
With a clearer data foundation, a stronger model, and a scalable UI system, AI-Fit™ is positioned to continue improving inspection accuracy as usage grows.
Scale
AI-Fit™ is part of a broader product suite. To support scale and long-term consistency, Arionkoder created a shared UI component library using Storybook.
This reduced UI maintenance, ensured consistency across products, and made it easier to evolve the platform over time.
With a clearer data foundation, a stronger model, and a scalable UI system, AI-Fit™ is positioned to continue improving inspection accuracy as usage grows.
Scale
AI-Fit™ is part of a broader product suite. To support scale and long-term consistency, Arionkoder created a shared UI component library using Storybook.
This reduced UI maintenance, ensured consistency across products, and made it easier to evolve the platform over time.
With a clearer data foundation, a stronger model, and a scalable UI system, AI-Fit™ is positioned to continue improving inspection accuracy as usage grows.
“Arionkoder is everything I could’ve asked for. The people I work with is what makes Arionkoder great. They’ve been excellent at meeting deadlines, staying on budget, and communicating with us.”
Lonnie Smith
President
@
Turnco and Founder of AI-Fit™
How we helped:
1.
Refined and documented an existing ML model and data pipelines
2.
Improved inspection data quality through UX and workflow design
3.
Designed a clear, high-performance reporting interface
4.
Built a shared UI component library for scalability
5.
Connected field workflows with AI reliability
Team
Product Manager & Facilitator UX/UI Designer ML Experts Back-End Engineers
Delivery
UX/UI Design ML Pipeline Refinement Infrastructure & Solution Architecture Working Inspection Platform Development Forecast
GET STARTED
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Turning bold ambition into lasting impact starts with a conversation.
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