Your path to document automation starts here
What we heard
How Lido solves this
Your projected ROI
Companies like yours
ACS Industries
Manufacturing / PO ProcessingACS Industries was drowning in purchase orders arriving via email in every format — PDFs, spreadsheets, images, even email body text. Manual entry was slow, error-prone, and couldn't keep up with volume.
- 30 hours saved each week on PO processing
- 400 POs automatically processed each week
- 99.5-100% accuracy on typed documents
- 1 full-time hire avoided
“Thanks to Lido, we’re processing ~400 weekly POs automatically with complete accuracy. We avoided a new hire and saved a chunk of money while reliably automating PO processing.”
Like Fast Growing Trees, ACS Industries needed to match POs against invoices across hundreds of vendor formats — and needed a solution their team could rely on without constant IT involvement.
Questions you raised
What’s your pitch against building this in Claude or ChatGPT?
7 out of 10 sales calls we take, teams have already tried building document processing with Claude or ChatGPT. It handles 20-30% of what’s needed — it can’t work across different document structures, can’t handle high volume, and has no matching functionality. Plus there’s ongoing maintenance cost to reprogram for new vendor formats.
OpenAI, Anthropic, and Google are building general-purpose models designed to power companies like Lido — they’re not trying to replace the specific AP workflows we build. We’ve already done the hard work of making extraction, matching, and validation work reliably at scale for exactly this use case.
Can your tool match a botanical name to a common name?
Yes. Lido uses meaning-based semantic matching that understands different ways plants, trees, and items can be described — botanical names, common names, abbreviations, sizing variants. We already work with another nursery that matches across 5 fields: description, size, caliper, category, and color.
As long as you tell us what fields to match on, we handle the variants automatically. No manual training or template maintenance required.
If we sign today and Aleks is booked, when do we actually start?
If you start in the near term, Aleks has availability for discovery sessions within the first week. The implementation typically takes 2-4 hours of setup, then 1-2 weeks of testing and refinement. Most teams are fully live within 3-4 weeks.
We match your tempo — if you need it fast, we can compress the timeline. The longest delays are usually on the customer side (getting data access, scheduling internal reviews), not on ours.