You have four options. Here’s the honest comparison.
The status quo, your vendor’s AI, a chatbot with plugins, or Ruby. What each one actually gets you.
The status quo: disconnected systems
Your CRM doesn't talk to your job documentation, which doesn't talk to your estimating tool, which doesn't talk to your accounting. Every question that spans two systems becomes somebody's afternoon. The friction isn't one big leak; it's a thousand small ones, and the margin goes with them.
Your vendor's AI: smart inside one box
Your job-management tool or your documentation platform will ship an assistant; some already are. It will be genuinely useful inside that one system, and blind outside it. It has never seen your estimates, your invoices, or your collections, and it never will, because its vendor doesn't have them. A restoration job lives across six systems. An assistant that sees one of them is doing a sixth of the job.
A generic LLM with a pile of MCPs
Genuinely useful, and our free MCP makes it work beautifully in whatever chat app you like. But you get access, not judgment. It rediscovers your business from scratch every morning, has no opinion about the trade, invents citations when it gets confident, does nothing unless asked, and answers to no auditor. A brilliant consultant with the keys to your filing cabinets, no memory, and no stake in whether you get paid.
Ruby
One picture, not six tool surfaces.
Ruby already knows the Albi project, the Encircle file, and the CompanyCam photos are the same job. Her answers start where the generalist's guesswork ends.
Judgment, not just access.
She grounds every answer in the published standards of the trade and cites her sources.
She works without being asked.
Playbooks run on cadence and triggers. The gap gets caught on day 1 whether or not anyone thought to ask.
She's seen what gets paid.
Built by a team with a decade inside restoration billing and 100,000+ claims of revenue intelligence. No model, no plugin, and no single-system assistant has that, because none of them have ever collected the check.
Your auditors will thank you.
Every action permissioned, every document access logged, human review before anything external sends.
The comparison, in one table.
| Capability | Status quo | Vendor AI | LLM + MCPs | Ruby |
|---|---|---|---|---|
| Sees the whole value chain | No | No | Partialaccess without resolution | Yes |
| Knows the restoration trade | N/A | Partialone domain | No | Yes |
| Works without being asked | No | Partial | No | Yes |
| Revenue intelligence | No | No | No | Yes |
| Audit trail and permissions | Partial | Partial | No | Yes |
Sees the whole value chain
Knows the restoration trade
Works without being asked
Revenue intelligence
Audit trail and permissions
A generalist consultant with the keys to your filing cabinets, no memory, and no opinion about your trade. Or an expert who already knows your jobs, watches them for you, and has seen what gets paid a hundred thousand times.
The standard of care vs. the standard of payment.
Any good tool can grade your documentation against the standard of care. The standard is published. The standard is the floor.
Only Ruby grades your file against the carrier’s standard of payment: what carriers dispute, what they cut, what they settle, and what they deny. That knowledge isn’t published anywhere. It was earned one claim at a time, a hundred thousand times, by the team that built her.
The standard of care tells you what’s defensible. Ruby tells you what gets paid.