Your expertise is too valuable to spend on repetitive tasks. Envoria AI helps you focus on what matters – turning complex processes into smarter, more efficient workflows.
Reduce repetitive manual work with intelligent document extraction, data processing, and AI-generated suggestions.
Analyze complex information, identify inconsistencies, and gain insights that help you make informed decisions.
Specialized AI agents support you throughout your workflows – from initial setup and data imports to analysis and next steps.
Review AI-generated results, verify supporting information, and approve changes before they are applied.
transparency, AI traceability & human oversight
AI assistance whenever you need it
click to generate drafts, launch analyses & more
of data points extracted and processed with AI
EVA, the Envoria Virtual Assistant, brings AI-powered assistance directly into your everyday workflows. Whether you need help understanding complex requirements or interpreting data, EVA makes intelligent support easy to access within Envoria.
Ask chatbot EVA to:
Explore selected AI use cases across ESG, Risk, and Finance. Discover how Envoria AI simplifies complex workflows, reduces manual effort, and supports smarter decisions throughout your processes.
Make materiality assessments more efficient
Accelerate your double materiality assessment with AI-generated IRO suggestions tailored to your business and ESRS requirements.
Less manual mapping. More clarity on emissions.
Use AI to simplify emission factor mapping, understand your emissions data, and gain insights without time-consuming manual analysis.
Same questions. Less repetitive work.
Stop rewriting the same answers. Let Response AI use your existing company documents to prepare questionnaire responses. Review, rewrite, and approve them afterward.
Turn climate risks into actionable insights
Accelerate your climate risk assessments with AI-powered analysis of physical and transition risks, helping you identify potential impacts and make more informed decisions.
Assess supplier risks more accurately with AI
Use AI to automatically assign suppliers to industries and make more informed assessments of industry-specific and combined country-industry risks.
Identify EUDR risks earlier. With less manual research.
Use AI to assess deforestation risks, analyze relevant geospatial data, and incorporate international risk indicators and expert knowledge into your EUDR assessments.
Less paperwork. Smarter packaging compliance.
Turn complex packaging documentation into structured information and simplify your PPWR compliance workflows with AI.
Less manual work. A smarter group close.
Accelerate your group close with AI agents that simplify setup, streamline financial data imports, and support analysis and review throughout your consolidation process.
From contract documents to smarter revenue accounting
Reduce manual data entry and simplify IFRS 15 workflows with AI-powered contract extraction, setup assistance, and financial analytics.
Less complexity. Smarter lease accounting.
Simplify IFRS 16, FRS 102, and more financial workflows with AI-powered setup assistance, contract data extraction, and financial analytics to reduce manual effort in lease accounting.
Make materiality assessments more efficient
Accelerate your double materiality assessment with AI-generated IRO suggestions tailored to your business and ESRS requirements.
Less manual mapping. More clarity on emissions.
Use AI to simplify emission factor mapping, understand your emissions data, and gain insights without time-consuming manual analysis.
Same questions. Less repetitive work.
Stop rewriting the same answers. Let Response AI use your existing company documents to prepare questionnaire responses. Review, rewrite, and approve them afterward.
Turn climate risks into actionable insights
Accelerate your climate risk assessments with AI-powered analysis of physical and transition risks, helping you identify potential impacts and make more informed decisions.
Assess supplier risks more accurately with AI
Use AI to automatically assign suppliers to industries and make more informed assessments of industry-specific and combined country-industry risks.
Identify EUDR risks earlier. With less manual research.
Use AI to assess deforestation risks, analyze relevant geospatial data, and incorporate international risk indicators and expert knowledge into your EUDR assessments.
Less paperwork. Smarter packaging compliance.
Turn complex packaging documentation into structured information and simplify your PPWR compliance workflows with AI.
Less manual work. A smarter group close.
Accelerate your group close with AI agents that simplify setup, streamline financial data imports, and support analysis and review throughout your consolidation process.
From contract documents to smarter revenue accounting
Reduce manual data entry and simplify IFRS 15 workflows with AI-powered contract extraction, setup assistance, and financial analytics.
Less complexity. Smarter lease accounting.
Simplify IFRS 16, FRS 102, and more financial workflows with AI-powered setup assistance, contract data extraction, and financial analytics to reduce manual effort in lease accounting.
AI does the heavy lifting. You make the decisions.
In ESG, Risk, and Finance, speed alone isn't enough. Results need to be understandable, verifiable, and supported by reliable information. That's why Envoria combines intelligent AI capabilities with human oversight, controlled workflows, and traceable processes.
Understand how AI results were generated through documented sources, actions, and changes, as supported by the respective workflow.
AI can suggest, analyze, and prepare changes. You review the results and approve proposed write actions before execution.
Sensitive information is processed through EU-based AI providers, without permanent prompt storage or unrestricted data access.
Envoria combines AI capabilities with specialized knowledge of ESG, regulatory requirements, and financial processes.
AI agents and supported processes operate within the user's existing permissions and defined access rights.
AI operates on separate infrastructure with controlled activation and clearly defined processing workflows.
AI helps companies streamline ESG reporting by reducing manual work in data collection, analysis, and documentation. In the context of CSRD, ESRS, and other sustainability requirements, AI can help identify relevant information, analyze company documents, prepare questionnaire responses, and generate reporting suggestions.
With Envoria AI, companies can use AI directly within their ESG workflows. For example, AI can suggest potential impacts, risks, and opportunities for double materiality assessments, assist with emission factor mapping, and help prepare responses to ESG questionnaires based on existing company documents.
AI supports these processes without replacing expert judgment. Users remain responsible for reviewing suggestions, validating information, and making final decisions.
AI can reduce repetitive work in financial processes by supporting data preparation, document extraction, account mapping, and financial analysis. Instead of replacing established accounting methods, AI assists finance teams with selected tasks throughout their workflows.
In financial consolidation, Envoria AI can help generate group structures, suggest account mappings, simplify financial data imports, and identify potential inconsistencies through plausibility checks and variance analysis.
For revenue accounting and lease accounting, AI can extract relevant information from uploaded contracts, assist with accounting configurations, and support the analysis of financial data. These capabilities help teams prepare and review information for processes such as IFRS 15 and IFRS 16 accounting.
AI-generated information and suggestions remain subject to professional review, allowing finance teams to combine automation with accounting expertise and control.
Unlike standalone AI tools, Envoria AI is integrated directly into specialized ESG, Risk, and Finance workflows. Rather than generating isolated text responses, it helps users work with relevant business data, documents, regulatory requirements, and structured processes.
Depending on the use case, Envoria AI can support document extraction, data mapping, risk analysis, questionnaire responses, accounting configurations, and financial analytics. This allows users to apply AI assistance within the same software environment where they manage their underlying processes.
Envoria also follows a human-in-the-loop approach. AI-generated suggestions support professional decision-making, while users remain responsible for reviewing results, approving changes, and validating outcomes.
Traceability is particularly important when AI supports regulatory reporting, risk assessments, and financial processes. Users need to understand which information, documents, and assumptions contribute to AI-generated results.
Envoria AI supports transparency through documented workflows and reviewable suggestions. In applications such as Response AI, users can examine the documents and source passages supporting generated questionnaire answers and identify missing evidence.
For climate risk assessments, AI assistance is combined with scientific climate models, geographic information, historical climate data, and structured assessment methods. AI supports the interpretation and documentation of results rather than replacing the underlying analytical models.
This approach helps users review AI-supported outputs and maintain the documentation needed for internal controls and external audits.
Data protection and security are essential when AI is used with sensitive business, sustainability, and financial information.
Envoria takes a controlled approach to AI adoption. According to its documented approach, AI functionality can be enabled on a customer-specific basis, supported by European infrastructure, GDPR-aligned processes, and documented model versions.
AI is designed to assist users within defined business workflows rather than access company information without appropriate controls. This helps organizations integrate AI into existing data governance and compliance processes.
The specific data processing arrangements, security measures, and available AI configurations should be assessed against each organization's requirements.
