A smarter way to ensure compliance, with fewer spreadsheets.
Hazardous waste tracking has long been a slow and manual process - even for some of the most sophisticated industrial companies in the U.S. Despite the introduction of the EPA’s e-Manifest system in 2018, many facilities still rely on scanned PDFs or paper manifests to stay compliant.
That’s a huge burden for environmental teams managing dozens or even hundreds of sites. At Mapistry, we saw a chance to solve this. What started as a technical experiment has now become a powerful new feature in our platform, saving hours of work and helping customers stay audit-ready with less effort.
Waste manifests are the backbone of hazardous waste compliance under RCRA. They track every shipment from the point of generation to the disposal facility and they must be complete, timely, and accurate.
But for most companies, especially those operating 20+ sites, reconciling manifests is a nightmare. One of our enterprise customers in the building materials sector had more than 100 facilities submitting manifests to a single EHS team member for manual entry into a spreadsheet. Add in inconsistent formatting, handwritten fields, and variable return times and it’s easy to miss something that leads to a compliance gap.
This is the kind of problem AI was built to solve.
We developed a new AI-powered feature that takes waste manifests and converts them into structured, reviewable digital records in the Mapistry platform.
Here’s how it works:
This system eliminates manual typing, reduces errors, and cuts time spent per manifest from 30 minutes to less than 10 seconds.
This summer, we took another major step: connecting directly with the EPA’s e-Manifest API. Now, Mapistry can automatically fetch new or updated manifests filed with the EPA and compare them against what a customer has entered in Mapistry.
That means customers can:
This closes the loop between what’s shipped, what’s received, and what’s filed giving teams an unprecedented level of confidence in their compliance programs.
We designed this feature with real-world workflows in mind. Alerts, validation, and traceability are all built-in. Each extracted record links to its original document, and every field can be audited back to the source.
And this is just the beginning. Waste manifests are only one part of the compliance picture. The same AI pipeline could soon power automation for:
If you’re managing waste across multiple facilities and tired of spreadsheets, we’d love to show you how this works.
→ Schedule a demo to learn more.
About the Author
Ino Tsichrintzi is a Solutions Engineer at Mapistry and the lead developer of the AI Waste Tracking feature. She recently presented her work at the A&WMA Annual Conference in Raleigh, NC and continues to lead innovation at the intersection of environmental compliance and intelligent automation.