Sphera launches AI tools to link sustainability to decisions

Sphera has launched new AI-based sustainability tools designed to help businesses link sustainability data to operational and investment decisions.

The move comes as companies face closer scrutiny of sustainability claims and shifting reporting rules, while boards and executives ask sustainability teams to show clearer commercial results from their programmes.

The new features in its Corporate Sustainability product are intended to help organisations collect data at the source, improve accuracy and map approved data across disclosures. They are also aimed at turning sustainability information into insights that can support both reporting and business decisions.

A second product, LCA Automation with AI Data Mapping, is being rolled out to address product footprint data. It is intended to improve the quality and consistency of that data as companies extend carbon footprinting across broader product portfolios rather than assessing products individually.

Value shift

The announcement reflects a broader change in how sustainability functions are judged inside large companies. For several years, many teams concentrated on building reporting systems and meeting disclosure obligations. The emphasis is now shifting towards showing how sustainability work affects capital allocation, supplier choices, product design and risk reduction.

That shift is taking place against an unsettled regulatory backdrop. Companies are trying to keep pace with changing frameworks, including California's SB 253 and revisions to European rules and standards, while also facing tougher scrutiny of environmental claims.

Sphera argued that programmes designed only to satisfy current rules can become exposed when those rules change. By contrast, strategies grounded in a business case are more likely to endure because they are tied to financial and operational decisions that remain relevant even as compliance requirements evolve.

The company also pointed to a longstanding practical problem: sustainability data often sits in separate systems. Corporate reporting data, supplier information and product carbon footprint records are frequently disconnected, making it harder for companies to identify which actions are actually changing outcomes.

Bringing those datasets together can help businesses see more clearly which supplier partnerships, product changes and investment decisions are contributing to sustainability targets, according to Sphera.

Data focus

The new products are centred on that data challenge. Sphera is positioning the tools as a way to create a clearer link between raw sustainability information and the decisions senior executives already make on finance, procurement, operations and product development.

That framing matters because sustainability leaders are under increasing pressure to justify budgets and show measurable returns. Rather than presenting disclosure as the main destination, Sphera argues that reporting should sit alongside broader uses of the same data in day-to-day management.

The product changes also show how software suppliers in the sustainability sector are recasting their offerings amid growing interest in AI. Instead of focusing only on automating reporting tasks, vendors are seeking to show that their tools can support broader business planning and help users build roadmaps linked to investment and operational choices.

Sphera, which says it serves 8,500 customers and more than one million users in 100 countries, works across risk, safety and sustainability. That customer base gives it exposure to industries where product data, supplier metrics and environmental disclosures are closely tied to operational performance.

Paul Marushka, Chief Executive Officer of Sphera, set out that argument in a public appearance tied to the launch. "Sustainability has reached a new stage of maturity where reporting is no longer the end goal. What matters is driving performance, trust and business value. Sustainability leaders are now measured on business outcomes: risk reduced, revenue protected, capital allocated with confidence and the data required to prove it," Marushka said.