Document gap analysis
Document gap analysis is checking a set of submitted documents against a required checklist to find what's missing, expired, or inconsistent — before the package moves forward. It turns a manual, error-prone review into a clear list of what's complete and what's outstanding.
Key characteristics
- Compares a submitted package against a defined checklist
- Flags missing, expired, or inconsistent items
- Common in lending, insurance, legal intake, onboarding
- Replaces line-by-line manual vetting
- Output is a clear present / missing / needs-attention breakdown
Example
A mortgage file requires pay stubs, three bank statements, a signed agreement, and tax returns. A gap analysis returns: pay stubs ✓, bank statements 1 of 3 ⚠, signed agreement missing ⚠, tax returns ✓ — plus a draft request for the outstanding items.
How it relates to Kuvai
Document gap analysis is one of the core jobs a Kuvai teammate owns. Forward Mia, your inbox coordinator, a package and she checks it against your own requirements, flags exactly what's missing or out of date, and drafts the reply requesting it — grounded in your checklist, not a generic guess. She drafts; you send.
Related terms
An AI teammate is a software colleague that owns a defined job end-to-end — grounded in a business's own documents and data, connected to its tools, and running on a schedule. Unlike an AI assistant you prompt, a teammate works continuously, accumulates your context, and drafts actions for your approval rather than waiting to be asked.
Grounding (AI)Grounding is the practice of tying an AI system's outputs to a specific, trusted source of truth — your own documents, data, and rules — so its answers reflect your business rather than generic internet knowledge. A grounded AI cites and works from your sources; an ungrounded one guesses.