Our clients

IKEA Retail (Ingka Group) wanted to turn rapid advances in AI into practical progress against its climate and nature goals, across products, buildings, supply chains, and responsible technology and align sustainability and digital leaders on where to focus first.

Nyamira Labs facilitated an AI Sustainability Lab with senior participants from sustainability and digital. The session gave teams a structured way to explore proven AI applications across Climate, Nature and Responsible AI, and to translate “AI possibilities” into clear, shared priorities.

We identified and prioritised a pipeline of potential AI opportunities across climate, nature and responsible digital, agreed initial owners, and drafted an early action plan to guide Ingka’s AI-for-sustainability agenda.

The group converged on priority themes including product-level carbon intelligence, building energy optimisation, responsible digital infrastructure, and AI-enabled customer engagement and built a shared view of what it would take to move from ideas to tested pilots.

Just as importantly, the Lab created real cross-functional momentum; participants highlighted the value of bringing “disparate parts of the company” together and described the collaboration as forming “superteams.”

Asahi Group Holdings has set some of the most ambitious sustainability targets in the global food & beverage sector: net zero by 2040, a 70% reduction in Scope 1,2 emissions and 30% reduction in Scope 3 by 2030. Delivering targets of this ambition is a complex, global undertaking especially with value chains spanning thousands of suppliers, a significant share of emissions sitting in Scope 3 and disclosure expectations rising worldwide. With AI capability advancing rapidly, Asahi’s sustainability leadership saw an opportunity to get ahead. As part of the group’s Sustainability DX strategy, they wanted to understand how AI could accelerate the delivery of their goals and amplify their team’s impact.

Nyamira Labs drew on its proprietary library of 1,000+ verified AI-for-sustainability case studies, filtered for beverage and FMCG relevance, to develop an Executive briefing for three audiences: the global & regional sustainability team. The work combined a peer review across eight global beverage companies, shortlisting AI Sustainability use cases, defining an AI Sustainability strategy and technical architecture and briefing internal teams on the opportunities presented by rapid advances in AI.

The engagement produced a three-layer AI opportunity framework: Tactical applications that multiply the productivity of sustainability teams, Operational deployments from brewery digital twins to Scope 3 analytics with the potential to deliver measurable cost and carbon savings, and Strategic capabilities in areas such as nature intelligence, agentic commerce, and responsible drinking. Twenty verified use cases, each with a named deploying company and measurable outcomes gave the team a prioritised, evidence-based view of where AI can accelerate the delivery of Asahi’s sustainability goals.

Flutter Entertainment, the world’s leading sports betting and iGaming operator, set out to explore how Artificial Intelligence (AI) could support delivery of its Positive Impact Plan.

With commitments spanning player protection, environmental impact, and wider social responsibility, the sustainability team needed to navigate a fast-moving AI landscape and focus on practical, relevant applications. The priority was to identify use cases that could strengthen customer protection, improve efficiency, and support long-term business priorities—without getting sidetracked by less mature or speculative ideas.

Nyamira Labs facilitated a one-day, in-person AI Sustainability Lab, bringing together 15 senior leaders from Sustainability, AI & Automation, Product, and Safer Gambling at Flutter.

Use Case Exploration: Participants reviewed over 100 real-world AI applications from Nyamira’s living library.

Expert Perspectives: Three external contributors shared practical insights on how AI is being applied today.

Structured Ideation: A guided process helped translate ideas into action, generating 78+ opportunities which were refined into five priority areas, covering both quick wins and longer-term initiatives.

The Lab helped translate a broad set of possibilities into a more focused and actionable set of priorities. Five project themes were identified, each with clear next steps to move towards testing and implementation.

The session also helped strengthen alignment between sustainability and technology teams, creating a clearer shared understanding of where AI could add value. Participants valued the balance between exploring a wide range of ideas and landing on practical next steps.

Sage’s sustainability team wanted to help Small and Medium sized Businesses (SMBs) explore how AI could help them achieve their environmental and social goals whilst unlocking business value during their annual Sage Future conference. They needed a curated, accessible and fun way to explore the landscape of AI applications, filtered by industry, function, and sustainability theme, without requiring deep technical expertise.

Nyamira Labs, in partnership with EBM, designed and built a bespoke AI Use Case Exploration App. We curated 120+ AI use cases specifically for SMB relevance, drawn from our proprietary library of 1000+ AI Sustainability use cases, and deployed them in a fully branded, interactive web application enabling Sage’s customers to explore, filter, and prioritise opportunities across 16 sectors, 10 business functions, and 9 sustainability themes. EBM designed an interactive UI and UX and delivered the app in three weeks.

The app gave Sage’s sustainability team an intuitive, self-service tool to bring AI and Sustainability to life for its customers. The 120+ curated use cases provide a practical starting point for identifying opportunities, building buy-in, and exploring further opportunities where AI can be used to solve customers challenges and build resilience.The app was well-received by Sage and its customers who appreciated its simplicity.

Haleon, one of the world’s largest consumer health companies, wanted an independent, outside-in perspective on how AI is being harnessed for sustainability across consumer health, to inform a discussion at its Environmental & Social Sustainability (ESS) Committee. With AI moving fast and peer activity largely undisclosed, the Committee needed a clear, evidence-based view of where the real opportunities lie, what it takes to capture them, and how AI can be leveraged to manage the risks including AI’s own environmental footprint.

Nyamira Labs ran a mini AI Sustainability Lab session with Haleon to shortlist relevant and impactful AI sustainability use cases. We then developed a board paper and delivered a briefing to the ESS Committee, giving the Committee members a structured, practitioner-led view of the AI-for-sustainability landscape in consumer health.

The Lab was informed by Nyamira’s growing library of over 1,000 real-world use cases. The paper set out where AI is already delivering value across sustainability, the conditions required for effectiveness, and the necessary guardrails from human oversight of material disclosures to managing AI’s own energy and water footprint. The briefing was designed to equip the Committee to challenge, prioritise and provide direction.

The session gave the Board a shared, outside-in reference point for its AI-for-sustainability agenda grounding the discussion in real deployments, and surfacing the genuine white space in peer disclosure as an opportunity for leadership and clarity on which areas to prioritise.