How AI Is Transforming Energy & Commodity Operations

WHITE PAPER

HOW AI IS TRANSFORMING ENERGY & COMMODITY OPERATIONS

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A NEW OPERATIONAL MODEL IS TAKING SHAPE IN COMMODITIES Energy and commodity firms are facing a rising level of operational complexity: greater trading volumes, tighter logistics windows, more documentation, and accelerating reporting demands.

Even with robust CTRM, ETRM, and ERP systems in place, the flow of unstructured information surrounding those systems has grown dramatically.

Across the industry, a clear shift is underway. Leaders are beginning to adopt AI-powered operations— environments where AI turns unstructured information into structured, reliable data that moves cleanly across the operational stack.

This shift is not about replacing existing systems. It’s

about strengthening them by adding an AI workflow layer that handles the data and document burden they were never designed to solve.

CommodityAI is one of the platforms demonstrating what this new model looks like in practice.

A ComTechAdvisory Whitepaper

How AI Is Transforming Energy & Commodity Operations

THE HIDDEN BOTTLENECK: UNSTRUCTURED, HIGH-STAKES OPERATIONAL INPUTS From trade execution to settlement, much of the work in commodity operations still originates with documents.

• • • • • •

Broker confirmations Freight and tariff schedules Supplier invoices Bills of Lading and inspection certificates Counterparty-specific formats Emails with embedded data or multi-leg exposure details • Handwritten adjustments and multi-column tables These documents are essential to trading, logistics, and accounting.

But they rarely arrive in structured form. That forces operators to interpret, validate, and reconcile

information manually before it can enter a CTRM, ERP, or risk system.

This creates predictable pressure points: • Slow cycle times • Late discovery of discrepancies • Rework and duplicate effort • Downstream reporting inconsistencies • Data dependencies that rely on individual expertise The challenge is not technological immaturity — CTRMs and ERPs remain the backbone of operations. The challenge is the operational surface area around them, where unstructured information still dominates.

© Commodity Technology Advisory, 2026, All Rights Reserved.

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A ComTechAdvisory Whitepaper

How AI Is Transforming Energy & Commodity Operations

HOW AI IS STRUCTURING THE COMMODITY WORKFLOW SURFACE The next era of operational efficiency in commodities is being driven by platforms that introduce an AI workflow layer across the organization. This layer converts unstructured data into structured information and connects it to the underlying systems that run the business.

This means: • Documents are read and structured instantly • Key fields are validated and linked to the correct trades, shipments, or invoices • Business rules are applied consistently • Exceptions surface early with full context • Core systems receive cleaner, timelier information

Instead of operators assembling data, the workflow layer assembles it for them — so teams stay focused on decisions, not extraction and reconciliation.

Firms adopting this model are seeing faster processes, fewer errors, and a level of operational visibility that was difficult to achieve with manual effort alone.

AI AGENTS AS THE NEW OPERATIONAL FABRIC One of the most important developments in the AI-driven workflow space is the rise of background automation — continuous, behind-the-scenes coordination of documents, records, and business logic.

In practice, this looks like: • Identifying and classifying incoming documents • Extracting fields with high fidelity • Linking each document to the correct internal object • Applying contract terms, shipment details, or pricing logic • Detecting mismatches or missing information early

• Passing structured, verified data into CTRM and ERP systems There is nothing abstract or technical about this. It functions as a connective layer, strengthening the flow of information across operations without forcing teams to change how they work.

© Commodity Technology Advisory, 2026, All Rights Reserved.

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A ComTechAdvisory Whitepaper

How AI Is Transforming Energy & Commodity Operations

For commodity firms, this means better alignment between the documents they receive, the systems they rely on, and the decisions they need to make.

CommodityAI is one of the platforms where this background automation is already delivering measurable day-to-day impact.

HOW COMMODITYAI ENABLES THIS NEW CLASS OF AUTONOMOUS, AI-DRIVEN OPERATIONS Among the platforms advancing this model, CommodityAI has gained attention for its focus on commodity-sector realities and its ability to deliver fast, reliable operational improvements.

ComTech analysis highlights several attributes:

surfacing only what needs human review.

Built for Commodity Workflows CommodityAI is designed around the operational cadence of physical and financial commodity trading — contracts, shipments, pricing terms, adjustments, multiparty confirmations, and industry-specific edge cases.

Immediate, Visible Relief for Operational Teams Organizations often see tangible improvements within weeks, without waiting for heavy IT projects or fullsystem integrations.

AI-Native Architecture The platform uses models, evaluation loops, and workflow logic designed from the ground up for unstructured-to-structured transformation.

This enables higher accuracy and adaptiveness across global document variations.

Background Automation Embedded Into Daily Operations CommodityAI operates as the AI workflow layer across CTRM, ERP, email, and shared data sources — continuously linking documents to records and

AI-Assisted Configuration Workflows, document types, and validation rules can be adapted quickly using AI — giving firms agility as their operations evolve.

Enterprise-Ready Controls and Transparency Every data point is traceable to its original source; every workflow is auditable; governance and permissions are built into the product’s core.

Together, these characteristics position CommodityAI as a blueprint for how intelligent workflows can be deployed safely and effectively in the commodity sector.

© Commodity Technology Advisory, 2026, All Rights Reserved.

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A ComTechAdvisory Whitepaper

How AI Is Transforming Energy & Commodity Operations

WHERE AI IS DELIVERING VALUE TODAY CommodityAI and similar platforms are being used across high-volume, high-stakes processes.

Trade & Confirmation Handling Reading broker communications, structuring trade details, and reconciling against internal records.

Freight & Tariff Review Standardizing rate sheets, carrier invoices, and demurrage calculations for easier validation.

Invoice Processing & Settlement Extracting invoice terms, comparing them with contracts and shipment actuals, and accelerating closing cycles.

Document Libraries & Record Linkage Classifying incoming documents and ensuring they are tied to the correct underlying trade or operational object.

Shipment Actualization Converting Bills of Lading, inspection reports, and weight documents into structured shipping data ready for downstream systems.

These workflows become faster, more predictable, and far less error-prone — giving firms greater confidence in the data that drives their commercial and operational decisions.

THE COMPETITIVE ADVANTAGE CREATED

BY DEPLOYING AI As firms adopt intelligent workflows, they are realizing gains that compound across the organization • Faster turnaround times across trading, logistics, and settlement • More consistent, higher-integrity data feeding risk and reporting • Fewer disputes and exceptions escalating downstream • Greater resilience during volume surges • The ability to scale operations without proportional

staffing increases • More time spent on analysis, oversight, and decision-making This is not about reducing teams — it’s about enabling them to do more with less friction, and creating a level of operational reliability that becomes a competitive advantage.

© Commodity Technology Advisory, 2026, All Rights Reserved.

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A ComTechAdvisory Whitepaper

How AI Is Transforming Energy & Commodity Operations

THE PATH FORWARD: AN AI-POWERED OPERATIONAL LAYER FOR COMMODITY FIRMS The trajectory is clear: commodity firms are moving toward an operating model where the workflow around CTRMs and ERPs becomes increasingly intelligent, structured, and connected.

In this model: • Documents are structured on arrival • Data stays aligned across systems • Exceptions surface with context • Operators intervene where judgment matters • Systems of record receive clean, verified information • Reporting and analytics become more trustworthy

amplifies them. The AI workflow layer becomes the connective tissue that allows data and decisions to move through the organization with far less friction.

CommodityAI is one of the platforms demonstrating what this future looks like — proving that intelligent workflows can be deployed safely, quickly, and with immediate operational benefit.

This evolution does not replace core systems — it

LEARN MORE ComTech will continue to track developments in AI for commodity operations. AI represents one of the most promising and practical advancements the world, and our industry, has seen in decades, and platforms like CommodityAI provide a clear view of how this model can be executed effectively.

To explore how intelligent workflows could support your trading, logistics, or settlement processes — or

to request a deeper evaluation — you may contact CommodityAI directly.

© Commodity Technology Advisory, 2026, All Rights Reserved.

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ABOUT CommodityAI CommodityAI is the AI-native workspace for commodity operations teams. It brings together the constant stream of emails, PDFs, and spreadsheets that trade, logistics, and finance teams rely on, and turns them into structured records operators can review, trust, and act on in one place. Domain-trained AI handles the messy interpretation and reconciliation in the background, while the workspace surfaces what matters—clean data, linked context, and clear exceptions—before syncing updates into CTRMs, ERPs, and spreadsheets. Teams

stop working out of inboxes and side spreadsheets, and start working from a shared operational view as volume and complexity scale. solutions@commodityai.io www.commodityai.io

ABOUT Commodity Technology Advisory Commodity Technology Advisory (ComTech Advisory) is the leading analyst organization covering the Energy and Commodity Trading and Risk Management (E/CTRM) and Energy Transition technology markets. Led by Dr. Gary M. Vasey, along with affiliate analysts Dr. Irina Reitgruber and Kevin Mossop, ComTech Advisory provides invaluable insights, backed by primary research and decades of experience, into the issues and trends affecting both the users and providers of the applications and services that are crucial for success in markets constantly roiled by globalization, regulation and innovation.

For more information, please visit:

www.comtechadvisory.com ComTech Advisory also hosts the CTRMCenter and the ETTCenter your online portal with news and views about commodity / energy markets and technology as well as a comprehensive online directory of software and services providers Please visit the CTRMCenter at:

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