Putting data to work to keep the world in motion
“Having an efficient system is vital for competitive advantage and creates an understanding of ESG goals across the organisation.”
Jørgen Westrum Thorsen
Senior Manager
Wallenius Wilhelmsen
AI automation in your ESG platform
Let AI decode your data and save hundreds of hours
Automate up to 30% more of your sustainability management with an ESG platform powered by AI tools developed alongside industry experts — for reporting you can rely on.
- Generate strategic recommendations
- Automap spend to emissions
- Pre-fill disclosures from existing docs
- Refine text instantly
- Consolidate multiple inputs
AI automation you can actually trust.
Data that practically reports itself
Cut the time you spend on sustainability reporting up to 30% or more with AutoReporting. You stay in full control with built-in approval workflows across your ESG platform, without wasting countless hours manually inputting data.
- Automates up to 30% of your ESRS reporting
- Extracts and maps data from existing documents
- 100% visibility into the data behind AI suggestions
Automatically map spend to emissions
Turn your expense files into accurate Scope 3 Category 1 emissions data–no manual mapping, no integrations. Our Emissions Mapper uses spend-based data to assign emissions factors with full transparency.
- Bulk upload raw expense or accounting files
- Auto-assign emission factors to each transaction
- See exactly how calculations were made
Developed by leading advisors
Our AI tools are built with top sustainability advisors to deliver insights you can count on. Backed by decades of knowledge and one of Europe’s largest sustainability dataset, it’s like having a trusted expert by your side at all times.
- Trained on real sustainability data and experience
- Built for audit readiness
- Aligned with the latest sustainability standards
Trusted by industry leaders
AI automation at a glance
How does AI improve ESG reporting and sustainability workflows?
AI streamlines ESG reporting and sustainability workflows by automating manual tasks, accelerating data collection and analysis, and surfacing actionable strategic insights. It simplifies day-to-day processes and provides recommendations for improvement based on large data sets enriched with the collective expertise of our leading sustainability advisors. All in all, with AI, you can enable faster, more consistent, and higher-quality outcomes with less effort.
Can AI help identify data gaps or inconsistencies in ESG reports?
Yes, AI can help identify data gaps and inconsistencies in ESG reports by scanning disclosures against relevant frameworks, expert guidelines, and historical data. It flags missing or misaligned information, helping ensure accuracy, completeness, and compliance with evolving standards.
How does your ESG platform use AI to save time on manual tasks?
In a wide range of ways! Our platform automates over 30% of sustainability reporting by intelligently mapping your existing data to multiple disclosure frameworks. It enhances the quality of qualitative inputs by helping you draft and refine text, analyzes data and dashboards to provide actionable improvement recommendations, and benchmark your performance against peers. It also auto-calculates spend-based emissions using your raw accounting data — all of which significantly reduce manual effort and free up your team to focus on strategic work.”
Does the platform use AI to suggest ESG improvements or flag risks?
Yes! The platform uses AI to analyze your data in real time and at scale, providing personalized recommendations to improve your ESG performance. It draws on both industry best practices and your internal data to suggest meaningful improvements. It also flags potential risks — such as chain issues — using document analysis and risk monitoring features.
How does AI support CSRD, GRI, and ESRS compliance and deadlines?
AI supports CSRD, GRI, and ESRS compliance by streamlining complex reporting processes. It automatically maps your data to the relevant disclosure requirements, helps you improve data quality, and consolidates inputs from multiple sources or people. It also flags inconsistencies and gaps in reporting and supplier documentation, helping you stay on track with evolving standards and tight deadlines.
