In July 2026, Kabaun opens up the carbon footprint to a conversational assistant like Claude. Three other updates cut down day-to-day manual work: a unified batch data import, automatic quality review, and more precise emission factor suggestions.
A carbon footprint that answers and acts
Until now, working with a carbon footprint meant opening the app, navigating between projects and emission categories, and entering each data point by hand. With this update, a sustainability manager or financial controller can connect Kabaun to a conversational assistant like Claude and manage the footprint in natural language.
In practice, the assistant lets you ask about emissions, look up an emission factor, explore how a project breaks down, and even create a project or log activities, all without opening the app. The carbon footprint becomes conversational: you ask, the assistant acts directly on Kabaun data, from a simple question to data entry.
The connection relies on delegated authentication. The assistant stays within the user's own scope and permissions, and every action is logged. This capability builds on Klem, Kabaun's carbon assistant, and on the platform's AI connector.
Less manual entry, more control
Three other updates this month push toward the same goal: cutting manual entry without cutting control over the data.
Batch data import. A spreadsheet (CSV or Excel) or a structured file (JSON) is now enough, with one unified import flow regardless of format. Kabaun sorts each row into the right emission category, separates rows ready to import from those that need review, and handles unit conversions. No estimated value is validated without the user's confirmation. No more line-by-line entry for large data collection campaigns.
Automatic quality review. Kabaun now reviews the footprint on its own and lists suggestions to check, ranked by severity: critical, major, minor. This review also checks sector completeness: it compares the footprint's scope against the emission categories expected for the company's sector and flags the ones that are missing, through semantic detection. Nothing changes until the user has decided on each suggestion.
Sharper emission factor suggestions. Suggestions now rely on hybrid search: a semantic search followed by deterministic reranking. For each emission category, Kabaun surfaces the closest-matching factors along with a match rate, and a shortcut to refine the search with AI when context is missing. Finding the right factor now takes seconds instead of scrolling through the entire catalog.
What's next
Kabaun is preparing three more developments: a more autonomous Klem assistant for building out the footprint, new reporting formats aligned with regulatory frameworks, and the ability to attach custom emission factors to each data collection campaign.
FAQ - Frequently asked questions about Kabaun's July 2026 updates
Which conversational assistant can be connected to Kabaun?
Kabaun connects to a conversational assistant like Claude through the platform's AI connector. The assistant acts within the scope and permissions of the connected user.
Does batch import work with every file format?
Yes, the import flow is unified for CSV and Excel spreadsheets as well as structured JSON files. Kabaun automatically sorts each row into the right emission category and flags the ones that need review.
Does the quality review change the footprint automatically?
No. The quality review lists suggestions ranked by severity, including missing emission categories relative to the company's sector. No change is applied until the user has validated each suggestion.
How do the new emission factor suggestions work?
They combine semantic search with deterministic reranking, showing a match rate for each factor suggested. A shortcut lets users refine the search with AI when the category's context is missing.
Conclusion
July 2026's updates bring Kabaun closer to natural-language carbon management: asking, importing, checking, and correcting, with less manual entry and control preserved at every step.
Discover Klem and conversational carbon management, or talk to our team.
