Missed the Mapistry Maple AI webinar? Here's what you need to know about their newest feature that uses AI to eliminate manual data entry.

The problem: You're spending way more on data entry than you realize

You're spending countless hours copying data from handwritten logs, PDFs, and paper forms into Excel.

Mapistry CEO Allie opened the webinar with a sobering calculation: just one hour per day of data entry adds up to 260 hours per year—that's 15% of your working year and roughly $15,000 of your salary spent on manual transcription.

The solution: Maple AI does the data entry for you

Maple AI is Mapistry's answer to the data entry problem. The technology leverages AI to automatically extract numerical data from whatever you throw at it:

• Handwritten logs and forms
• PDFs and scanned documents
• Photos of equipment readings
• Digital files and emails

It works with air monitoring data, waste manifests, water quality samples—basically any environmental data you're currently tracking in spreadsheets.

How it works: Four simple steps

During the live demo, the Mapistry team showed just how straightforward the process is:

1. Upload your files - Drag and drop your PDFs, images, or other documents
2. AI extracts the data - Maple AI reads your documents and pulls out the relevant data points, even from handwritten notes
3. Review the QA - You'll see confidence scores for each extracted value so you can quickly spot-check accuracy
4. Confirm and import - Review any flagged items, make corrections if needed, and import your clean data into Mapistry

Here's the best part: Maple AI highlights data points it's less confident about, so you only spend time reviewing where it's actually needed. No more re-typing everything just to be safe.

Real results: One customer is saving 4 hours per week

One Mapistry customer is already using Maple AI to log paint and welding data from photos. They're saving approximately four hours per week at a single facility. That's over 200 hours per year that they've redirected to more valuable work.

Beyond the time savings, they're also seeing operational benefits. Data doesn't get backlogged until the end of the month anymore. Operations teams can see real-time data for both environmental compliance and production optimization.

What's coming in 2026

The Mapistry team previewed several features you'll see in early 2026:

AI form builder - Upload an existing inspection form (Word doc, PDF, or photo) and Mapistry's AI will generate a starting point for your digital form template. This gets you to about 80% complete automatically instead of building everything from scratch.

Mobile app integration - Snap a photo of a manifest or reading in the field and have it processed immediately. Several beta customers are already using this for waste manifests as containers leave their facilities.

Email submission - Send documents directly to Mapistry via email for automatic processing. No more logging into the platform just to upload a file.

Data privacy and security

If you're worried about AI and data privacy (or if your IT team is asking questions), here's what you need to know:

• Your data gets transmitted to OpenAI for processing, but it cannot be used to train their models under Mapistry's enterprise agreement
• You own all the output data from Maple AI, just like all your other Mapistry data
• Mapistry may use aggregated, anonymized patterns (like common handwriting styles or location names) to improve AI performance across their platform

Pricing and availability

Maple AI is available as an add-on at Mapistry's enterprise tier (where you probably already have features like custom dashboards, SSO, and API integrations). Pricing varies based on how many locations you have.

If you're already a Mapistry customer, contact your Customer Success Manager for details and ask about early adopter discounts. If you're new to Mapistry and want to learn more, reach out to info@mapistry.com or book a demo here.

The bottom line

If you're tired of manual data entry and want to redirect that time toward solving real environmental challenges, Maple AI offers a practical solution. The technology is mature enough to handle real-world messy data (yes, even your handwriting), and early customers are already seeing measurable time savings.