# Aquila AI Iris Reduces Offshore Troubleshooting Time to Minutes

> Iris, Aquila Digital's cutting-edge AI platform, dramatically accelerates offshore troubleshooting, transforming hours of complex problem-solving into minutes, ensuring engineers have the expertise they need at their fingertips.

**Source**: drillingcontractor.org | **Published**: 2026-09-08 | **Type**: case_study

## Key Facts

- Aquila AI reduces offshore troubleshooting from hours to under 5 minutes, enhancing operational efficiency.
- Iris consolidates complex data, revealing a competitive edge in data-driven decision-making for drilling firms.
- Faster troubleshooting can lower operational costs, potentially increasing profit margins for offshore drilling.
- The AI platform indicates a strategic shift towards automation, essential for staying competitive in energy sectors.
- Companies adopting Iris may gain a significant advantage in response times, impacting market positioning and client trust.

## Summary

\## Summary
Aquila Digital deployed the Iris AI platform to enhance troubleshooting efficiency for offshore drilling operations. The challenge involved lengthy equipment troubleshooting processes, which Iris addressed by providing instant access to critical operational data. As a result, troubleshooting time for BOP issues was reduced from hours to under five minutes.

\## Background
Aquila Digital operates in the offshore drilling industry, focusing on providing innovative solutions for drilling and well control professionals. Prior to the deployment of the Iris AI platform, engineers faced significant delays in troubleshooting equipment issues, often taking hours to diagnose problems and identify solutions.

\## Challenge
The primary challenge was the time-consuming nature of equipment troubleshooting on offshore rigs. Engineers needed a way to quickly access and interpret complex operational data to resolve issues efficiently.

\## Solution
The Iris AI platform was implemented as a multi-agent system designed to assist engineers by consolidating data from various sources, including bulletins, technical reports, and lessons learned. This system enabled frontline engineers to rapidly diagnose problems and receive recommended solutions, significantly streamlining the troubleshooting process.

\## Results
The implementation of the Iris platform led to a dramatic reduction in troubleshooting time for BOP issues, cutting it from hours to under five minutes. This efficiency gain allowed engineers to respond more quickly to equipment problems, enhancing overall operational effectiveness.

\## Key Insights
The deployment of AI in troubleshooting can significantly reduce response times and improve decision-making for complex operational challenges. Access to consolidated, domain-specific knowledge is crucial for frontline engineers in high-stakes environments.

\## Customer Testimonial
“AI can compress hours of offshore troubleshooting into minutes by giving frontline engineers instant access to the domain-specific knowledge they need.” — Jose Meraz, President of Aquila Digital.

## Entities

- **Companies**: Aquila Digital
- **Products**: Aquila AI, Iris
- **Technologies**: AI, multi-agent AI system
- **People**: Jose Meraz
- **Organizations**: IADC

## Key Concepts

offshore troubleshooting, domain-specific knowledge, operational data, equipment troubleshooting, BOP troubleshooting, case study, AI efficiency, data consolidation

## Definitions

- **Aquila AI**: Aquila AI is a platform designed to enhance offshore troubleshooting by providing engineers with rapid access to critical information.
- **Iris**: Iris is a multi-agent AI system that assists drilling and well control professionals in interpreting complex operational data.
- **BOP**: BOP stands for Blowout Preventer, a critical safety device used in drilling operations to prevent uncontrolled release of crude oil or natural gas.
- **domain-specific knowledge**: Domain-specific knowledge refers to expertise and information that is relevant to a particular field or industry.
- **operational data**: Operational data encompasses the information generated from the day-to-day operations of drilling and well control activities.

## Use Cases

- cutting troubleshooting time
- diagnosing equipment problems
- delivering recommended solutions
- consolidating technical information
- enhancing decision-making for engineers
- improving safety in drilling operations

## Frequently Asked Questions

**What is the main benefit of the Aquila AI platform?**

The main benefit of the Aquila AI platform is its ability to significantly reduce the time required for offshore troubleshooting, enabling engineers to access critical information quickly.

**How does Iris assist drilling professionals?**

Iris assists drilling professionals by analyzing complex operational data and providing insights that help them make informed decisions during drilling operations.

**What challenges does the Aquila AI platform address?**

The Aquila AI platform addresses challenges such as equipment troubleshooting and the need for quick access to domain-specific knowledge in high-pressure situations.

**Can you provide an example of Iris in action?**

An example of Iris in action is its application in BOP troubleshooting, where it reduced the time taken to diagnose issues from hours to under five minutes.

**Where was the discussion about Aquila AI held?**

The discussion about Aquila AI was held at the 2026 IADC Advanced Rig Technology Conference in Austin, Texas.

## Links

- [Read on Welcome.AI](https://welcome.ai/content/aquila-ai-iris-reduces-offshore-troubleshooting-time-to-minutes)
- [Original source](https://drillingcontractor.org/aquila-ai-platform-speeds-up-offshore-troubleshooting-79881)

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Source: Welcome.AI | https://welcome.ai/content/aquila-ai-iris-reduces-offshore-troubleshooting-time-to-minutes