IFS Zero’s AI-Based Emissions Operating System

Industrial companies have historically faced significant hurdles in effectively managing carbon within their own operations and along the value chains.

A lack of investment in dedicated emissions software has led to fragmented data silos, time-consuming manual reconciliation and reporting frameworks that require significant effort to manage.

This administrative workload often prevents corporate sustainability teams from focusing on their primary goal: achieving decarbonisation and advancing sustainability in their business.

To address these challenges, industrial artificial intelligence provider IFS has launched IFS Zero, an emissions operating system designed for the specific needs of asset-intensive industries.

Going beyond compliance

The new platform covers Scope 1, Scope 2 and Scope 3 emissions, enabling businesses to replace spreadsheets with real-time emissions intelligence, says IFS. It provides measurement, disclosure and optimisation processes for carbon emissions.

The platform is designed to work seamlessly with IFS’s Cloud Sustainability Management module, rather than as a standalone tool.

‘“For too long, sustainability has meant slow deployments, manual spreadsheets, and reporting after the fact,” says Caitlin Keam, VP Manufacturing and Sustainability Applications at IFS.

“IFS Zero replaces that with an agentic operating system that delivers an emissions baseline in short timescales and enables visibility into your day-to-day operations. It allows customers to move beyond compliance and start using sustainability as a true strategic advantage."

From static compliance to operational sustainability

The main management framework stores data, including social impact and diversity metrics. Meanwhile, the new system provides detailed visibility into daily operations.

This shifts static compliance reporting to operational decarbonisation, embedding sustainability into service, asset and manufacturing processes.

The software uses agentic AI to automate tasks throughout the data lifecycle.

By mapping data sources, validating information, flagging anomalies, and generating audit-ready outputs, the platform reduces administrative burden.

According to the developer, this capability enables asset-heavy organisations to establish an audit-ready baseline within weeks.

It also saves hundreds of operational hours annually and reduces data collection effort by 30%.

The system launches as advancements in agentic industrial artificial intelligence present significant opportunities to reduce environmental impact in heavy industries.

Research from Generation Investment Management, an investor in the technology provider, suggests that full adoption of these capabilities in the three largest industrial sectors could reduce global carbon dioxide emissions by more than 2%.

The ability to analyse data and make real-time adjustments allows users to transform sustainability insights into a strategic advantage, rather than treating them as a compliance exercise.

“As asset-intensive industries move beyond static carbon reporting toward operational decarbonisation, buyers are gravitating toward vendors with strong data and operational foundations - particularly those that can handle asset-level complexity, connect emissions data to energy consumption and efficiency analysis, and integrate sustainability insights into day-to-day operational and investment decision making,” says Alessandra Leggieri, Senior Analyst, Net Zero & Energy Transition at Verdantix.

IFS, the global enterprise software company supporting asset-intensive industries, was recognised with the AI in Sustainability Award at the Global Sustainability Awards 2025.

The Future of AI

The new platform was announced at an IFS event in Tokyo and was introduced by IFS CSO Sophie Graham.

"Industrial AI is key to reducing emissions across the industrial sector, and IFS Zero is designed to unlock that potential. It brings Scope 1, 2 and 3 into a single platform, reads directly from assets and operations, and uses agentic AI to validate data, flag anomalies and produce audit-ready outputs - reducing data collection effort by 30% and saving hundreds of hours annually," says Sophie.

Sophie is joining the The Future of AI in Sustainability panel, which will take place at 14:15-15:00 (BST) in The Enterprise Theatre at CodeNode London as part of Sustainability LIVE @ London Climate Action Week.

The session will highlight cutting-edge use cases for AI, including emissions tracking, predictive climate modelling, optimising energy systems and supply chain transparency.

Experts on the panel will discuss opportunities, risks and ethical considerations as AI becomes a core tool in driving more effective and accountable sustainability outcomes.

Register your interest to attend now.