Build a data room with AI — bulk upload, AI builds the folder structure, you share it NDA-gated.

Building a data room with AI means you skip the manual folder assembly. Instead of creating an eight-folder tree by hand and dragging files into it — the part founders and advisors dread — you bulk-upload your documents in whatever disorganized state they arrive, and AI auto-indexing reads each file and sorts it into the standard 8-category due-diligence structure — Corporate, Financial, Legal, IP, Team, Product, Cap Table, and Tax — in under 3 minutes for a typical document set. It flags categories that look thin, so a missing IP assignment or an absent cap table surfaces before an investor's counsel finds it. The typical path is a mess in, a reviewed index out: a founder's Google Drive or a partner's desktop becomes a numbered, deal-ready room.

On Peony there are three distinct AI capabilities, and it's worth keeping them straight. AI auto-indexing sorts the bulk upload into the standard structure. AI room generation stands up a room end-to-end from a document dump when you want the room built rather than folder-by-folder. AI document Q&A lets a reviewer ask a question and get an answer drawn from the documents in the room — grounded in what's been shared, not the open internet, so a buy-side reviewer can trace every answer back to a source they can open. AI auto-indexing and AI room generation are on the Data Room plan at $52 per admin per month; AI document Q&A is on the Business plan at $30 per admin per month.

The honest boundary is the same one that makes the AI trustworthy: it categorizes, and you verify. On a typical upload the AI sorts the clear majority correctly and misses a small handful of edge cases — a document that belongs in two categories, a cryptically named file, a one-off the standard structure doesn't anticipate. Moving those strays takes about a minute; the final structure is your responsibility, not the model's. What the AI removes is the hours of manual sorting, not the five-minute review — and it should not remove that review. This is why a chat tool alone isn't a data room: a chat tool can suggest an outline, but only the room itself can host the files, gate them behind an NDA, watermark each page, and prove who read what.

When you only need a naming outline. If all you want is a suggested folder list, a general chat tool can draft one. Organizing is the easy 10% — but a chat tool can't host, gate, watermark, or log access, so you'll still need a room to put the files in. The AI is the setup speed; the room is the product.

When the room is tiny and low-sensitivity. A single document sent to one reviewer once doesn't need auto-indexing at all — a watermarked personalized link is enough. Don't build an AI-indexed room for a one-file share.

When you need Q&A but not watermarks yet. If your priority is letting reviewers self-serve answers and the room is low-sensitivity, AI document Q&A on the Business plan at $30/admin/month is a legitimate cheaper start — auto-indexing and watermarking come with Data Room at $52.

When the structure has to be exact and non-standard. The AI produces the standard 8-category tree. If your firm's playbook requires a specific non-standard structure, you'll build that yourself on top of the AI's baseline — the AI gets you to the standard fast, your template layers over it.

When you'd skip the review. The AI categorizes, you verify — that's not optional. If you're not willing to open every folder and move the few strays before sharing with investors, no tool will save you. The final structure is your responsibility.