I can turn a stack of claim documents into a usable first analysis in minutes.
A client sends forty pages of medical records and policy wording in one go, and the case can't move until someone reads all of it. Extracting the facts, checking them against the policy, and drafting a direction is exactly the work I've already built.
01 The pain
Independent claim consultants live in other people's paperwork. Before you can even say which way a claim should go, you're hours deep in medical statements, receipts, and clause-by-clause policy language — pulling out the few facts that actually decide it.
That intake reading is the tax on every case. It's unbilled, it's slow, and it stands between the client and an answer they're anxious for.
02 Where your software stops
Generic document tools store and search the files — they don't read them the way a claim needs. They can't line a symptom in a medical note up against an exclusion in the policy and tell you the two don't match.
So the comparison stays manual: you, the highlighter, and the same clauses again on the next file.
Software stops at "store the PDF." The real gap is "pull the facts, check them against the policy, and say what this means."
03 Why you can't just offshore it
This is not offshore work. Reading a claim means understanding Canadian insurance regulation and the specific wording of medical and coverage clauses — get the reading wrong and the advice is wrong. It stays close to home.
04 The gap I fill
This is a near-direct reuse of work I've already built: my CoveragePilot approach extracts the key facts from the documents, compares them to the policy rules, and generates a first-pass recommendation — a stack of paper into a structured summary in minutes.
It's a draft, not a decision. You review every analysis and approve it before it touches a client's case. Each point cites the exact document and line it came from — if the answer isn't in the file, it says "not found" instead of inventing one.