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When Regulation Matures, Management Must Evolve Alongside It

Tuesday, March 17, 2026

In recent years, regulation of the pipeline sector in Brazil has undergone a clear process of maturation. More structured standards, better-defined requirements, and higher expectations for traceability and governance have become part of operators’ daily routines.In this context, the Regulamento Técnico de Dutos Terrestres (RTDT), established by the Agência Nacional do Petróleo, Gás Natural e Biocombustíveis, represents an important milestone.

The Regulation not only introduced new requirements, but also consolidated a broader vision: operating pipelines requires not only robust engineering and well-maintained assets, but also consistent information management processes, reliable records, and the ability to continuously demonstrate compliance.This is a point that often becomes evident only as operations grow or when inspections draw near.

The real impact of regulation on day-to-day operations

In practice, the RTDT reinforces responsibilities that are already part of operators’ routines: monitoring pipeline integrity, performing periodic inspections, keeping emergency response plans up to date, and recording relevant events throughout the asset’s operational life.

The challenge is not understanding what the regulation requires. It lies in sustaining these requirements over time, especially in operations involving multiple shifts, distributed teams, large volumes of data, and different legacy systems.

Over time, common questions begin to arise:

Where are critical operational records consolidated?
How can alignment between inspection, maintenance, and event information be ensured?
How can it be clearly and consistently demonstrated that processes are being followed?

These questions are not merely regulatory; they are operational.

When the challenge shifts from technical to governance

As operational complexity increases, it becomes clear that the greatest risk is not necessarily the pipeline itself, but information fragmentation. Parallel spreadsheets, manual records, disconnected systems, and excessive reliance on tacit knowledge create points of vulnerability.

In this scenario, complying with the RTDT goes beyond meeting technical requirements and starts to involve:

data governance,
standardization of records,
decision traceability,
change management,
and visibility into what is happening across the entire operation.

It is precisely at this point that many organizations realize their processes have grown faster than their management tools.

Technology as a natural extension of processes

When operations demand consistency, traceability, and integration, manual controls no longer scale. Not due to a lack of effort from teams, but because the volume and criticality of information have increased.

Digital solutions then assume a strategic role: not to replace people or procedures, but to organize, integrate, and provide visibility into everything that already exists within the operation.

Platforms for control room management, operational logs, and event tracking become a fundamental link between field activities, the control center, and management.

Where MaCRoM & COSMOS fit into this context

It is at this point that tools like MaCRoM & COSMOS, developed by Tory Technologies, naturally positions itself. By centralizing operational logs, events, changes, and critical information related to control room or measurement systems, these platforms help operators maintain consistency, traceability, collaboration, and an integrated view of operations.

MaCRoM & COSMOS support exactly the pillars reinforced by the RTDT: information organization, process consistency, and the ability to demonstrate compliance based on reliable data.

The result is an operation better prepared not only for audits or inspections, but also for safer, more accurate and more informed day-to-day decision-making.

Conclusion

The RTDT reflects the evolution of the sector. It signals that operating pipelines today requires a more structured approach, where safety, integrity, and governance go hand in hand. For operators, the challenge is not only to comply with the regulation, but to create an operational environment capable of sustaining these requirements over time.

In this context, technology ceases to be an end in itself and becomes a means, a facilitator for transforming regulatory requirements into solid, consistent, and scalable operational practices.

If you want to understand how MaCRoM & COSMOS can help your organization evolve and stand out, contact us.

Tory Technologies, Inc., also known as Tory-Tech, is a Houston-based corporation founded in 2012, that designs, develops, integrates, and deploys intuitive corporate software solutions for Control Room Management and Volumetric Data Management. Decades of expertise in software development and implementation have resulted in a unique suite of solutions specifically designed to solve critical challenges in control rooms and flow measurement departments.

Interested in working with a SOC 1 and SOC 2 compliant company? Contact us to learn more about our control room management software, MaCRoM®, and our volumetric data management software, COSMOS®.

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The Tory Users Summit: AI in Tory Technologies and the Energy Industry

Admin
Oct 1, 2025
3 min read

Updated: Apr 10

On August 20, 2025, at the Tory Users Summit, Tory Technologies hosted a groundbreaking panel discussion that delved into the transformative potential of artificial intelligence (AI) within the company and the broader energy industry. This event brought together experts from various sectors to share their insights, experiences, and visions for the future of AI. Here’s a look at the key takeaways from this enlightening session.

Tory Technologies’ AI Vision

Tory Technologies is at the forefront of leveraging AI to enhance user experiences and improve internal services. Their approach includes:

Predictive AI based on historical data
AI-driven help and configuration guidance
Advanced querying of large datasets

A highlight of the session was the live demonstration of “TOBOT,” Tory-Tech’s AI assistant. TOBOT is designed to interact with client databases and knowledge bases, offering contextual responses to user queries and streamlining data retrieval processes.

Understanding AI and Large Language Models (LLMs)

The panel provided an accessible crash course on AI categories, including predictive AI, generative AI exemplified by ChatGPT, and multimodal AI that integrates text, images, and voice.

It was explained the fundamentals of LLMs, including the transformer architecture that predicts the next word based on vast datasets, enabling the generation of coherent text. The speakers emphasized the scale and complexity of these models, noting ChatGPT’s 175 billion parameters and the extensive training data required. Concepts such as retrieval-augmented generation and agentic AI, which autonomously pursue goals by integrating external data and tools, were also discussed.

Industry Panel Insights on AI Adoption

Panelists from Microsoft, Enbridge, Marathon Pipeline, and Phillips 66 shared their experiences and perspectives on AI integration in operational settings. Among the key topics discussed were:

Highlighted AI’s role in transforming enterprise data interaction, emphasizing natural language as a new user interface and the infusion of AI Copilot to enhance productivity and decision-making. They stressed the importance of data governance and security in AI deployment.
Cautious, incremental AI adoption focused on building capacity and trust among employees, with small-scale projects deploying AI agents to solve specific problems.
Operational use cases like optimizing fractionation and managing measurement exceptions, aiming to shift focus from low-value tasks to higher-value activities through AI.
Emphasized the value of AI in volumetric data management and operational optimization, with a focus on leveraging AI to aid controllers in decision-making and reduce errors.

Challenges and Strategies for AI Implementation

The panel addressed challenges such as organizational trust, adoption barriers, and bias in AI models. They noted the need for champions within organizations to drive AI projects, the importance of cross-functional collaboration, and the gradual scaling of AI use from individual users to enterprise-wide adoption.

Feedback loops involving qualified personnel were identified as critical for validating AI outputs and improving model accuracy.

The discussion also covered data privacy concerns, the necessity of guardrails, and the risk of employees using unauthorized AI tools that could compromise proprietary information.

Addressing Bias and Model Validation

Panelists acknowledged inherent biases in AI models due to training data limitations and emphasized using multiple models to mitigate bias. They highlighted ongoing research and techniques such as ensemble modeling to improve reliability.

The conversation underscored the importance of transparency, human oversight, and continuous evaluation to ensure AI recommendations are trustworthy and aligned with organizational goals.

Future Directions and AI in Tory Technologies

The discussion concluded with reflections on the future role of AI in the industry. Tory Technologies aims to integrate AI deeply into control room environments and measurement teams as decision support tools and as expert assistants. TOBOT exemplifies this vision by providing flexible, conversational querying of operational data. Panelists expressed optimism about AI’s potential to improve safety, operational excellence, and knowledge retention, citing examples from other sectors, such as law, where AI captures retiring employees’ expertise for future use. The session ended with a commitment to cautious, collaborative innovation and ongoing learning in AI applications.

Interested in working with a SOC 1 and SOC 2 compliant company? Contact us to learn more about our control room management software, MaCRoM®, and our volumetric data management software, COSMOS®.