Aurad reads a job's source document once, then generates your entire set of follow-on paperwork — delivery notes, completion certificates, service contracts, handovers — as print-ready PDFs in your own branding. Nobody retypes anything.
Workspace configured for Al‑Waha Elevators W.L.L. — Doha, Qatar 🇶🇦 · extraction runs live on Google Gemini
Drop the quotation
AI reads every field
Only if you want to
Your full document set
Filed & delivered
Every field auto‑populates. Correct extractions require no action — silence means approval. Fix one wrong value, not the whole form. And every correction teaches the mapping, so the same mistake is never fixed twice.
The extraction, review, generation and logging are shared machinery. Only three things differ between customers — and onboarding captures all three.
What data lives inside your source document — client, site, scope, value, dates, contact.
Your real layouts and branding become reusable templates. The output looks like it came from you.
Download, your own server, or email. You choose the destination once.
A guided five‑step flow. The AI does about 90% of the configuration automatically — you just confirm it. This walkthrough shows Al‑Waha's completed setup.
Your branding layer — applied to every document you ever generate. Set once.
What you upload to start a job. Provide one real sample — the system learns what data lives inside it.
The system read your sample and understands its structure.
The most important step. Upload each document you need to generate, in your own real layout. The system detects the dynamic parts automatically — no template‑building.
The system connects the source to your documents — “I found these fields in your quotation, here's where I think each one goes.” Confirm once; it's locked in for every future document.
Where finished documents go. Choose once.
Print‑ready PDFs
SFTP / shared drive
Auto‑send to client
Al‑Waha's workspace now exists. All the complexity was handled once. Day‑to‑day, it's a single upload and a glance.
| Quotation | Client / Site | Value | Documents | Status | Date |
|---|---|---|---|---|---|
| QT‑2026‑0411 | Msheireb Properties Msheireb Downtown, Doha |
QAR 412,000 | DNCCAMCHO |
✓ Untouched | 28 Jun 2026 |
| QT‑2026‑0409 | Katara Hospitality Katara Towers, Lusail |
QAR 1,180,000 | DNCCAMCHO |
1 field fixed | 24 Jun 2026 |
| QT‑2026‑0402 | Qatar Foundation Education City, Al Rayyan |
QAR 268,500 | DNCCAMCHO |
✓ Untouched | 21 Jun 2026 |
Click ＋ New job above and upload any quotation PDF — extraction runs live.