What this automation does
Documents come in from many directions. The workflow turns them into one register that says, for every vendor, what is current, what is expiring and what is wrong.
- Collect. Documents arrive at a compliance inbox, through a vendor upload link, or in a watched SharePoint or Box folder. Each file is stored with the sender and date received.
- Classify. A model identifies the document type, such as certificate of insurance, license, W-9, SOC 2 report or policy, and matches it to a vendor or subcontractor record.
- Extract. A type-specific schema pulls the fields that matter. For a certificate of insurance: insured name, insurers, policy numbers, coverage types, each limit, policy start and end dates, and the certificate holder and description. For a license: number, issuing body, class and expiration.
- Compare with requirements. Code checks the extracted values against what the contract or your policy requires for that vendor, for example general liability per-occurrence limit, workers’ compensation in force, or an unexpired license of the right class.
- Update the register. Each requirement is marked compliant, expiring within 60, 30 or 7 days, deficient or missing.
- Chase. Vendors get a specific request (“Your auto liability policy ends on the 30th; please send the renewed certificate”) rather than a generic reminder. Internal owners are alerted when a vendor stays deficient.
- Report. A weekly summary goes to compliance and project managers, and urgent gaps, such as a subcontractor scheduled on site with lapsed coverage, alert immediately.
When it is worth building
The value shows up wherever lapsed documents carry real exposure. A general contractor whose subcontractor’s insurance lapsed mid-project, a property manager whose vendors work in occupied buildings, a healthcare organization tracking business associate agreements and licenses, or a software company whose customers ask for evidence of vendor reviews. At a few dozen vendors with one document type, a spreadsheet with reminder dates works. Past that, the manual check becomes a part-time job that still misses things.
It is not worth building if no one has written down what each vendor must provide. The automation compares documents with requirements, so the requirements come first.
Architecture
| Layer | What we use | Why |
|---|---|---|
| Intake | A compliance mailbox in Gmail or Outlook, plus a vendor upload link | Vendors reply to requests directly, and uploads skip the inbox entirely |
| Storage | SharePoint or Box with restricted access | Some documents, such as SOC 2 reports, are shared under confidentiality terms |
| Extraction | Claude through the API with one schema per document type | Reads scanned certificates and long audit reports without templates |
| Requirements | A table per vendor tier or contract, owned by risk or legal | Deterministic comparison against written rules, editable without code |
| Register | Airtable for smaller programs, Postgres when volume grows | One record per vendor and requirement with status and history |
| Orchestration | n8n | Scheduled checks, inbox polling and vendor outreach in one place |
| Alerts | Slack and email | Project managers see problems before they schedule a vendor |
The extraction pattern is the same one described in our guide to extracting data from documents with AI, with stricter checks because compliance decisions depend on the values.
How to build it
- Write requirements by vendor tier. For example, high-risk on-site subcontractors need higher limits and additional insured status; low-risk remote vendors may need only a W-9 and a signed agreement. Get legal and risk to sign off.
- Load the vendor list. Import vendors with legal names, known trade names, tier and an internal owner. Name matching is where most errors start.
- Define schemas per document type. Start with the two document types that cause the most trouble, usually certificates of insurance and licenses.
- Build extraction and validation. Validate dates, normalize limits to numbers and check that the named insured matches the vendor’s legal name or a known alias.
- Backfill current documents. Run every document on file through the pipeline and have a person review the register before any outreach goes to vendors.
- Turn on outreach. Start with internal alerts only, then enable vendor emails once the register is trusted.
- Add downstream holds. Optionally flag accounts payable or project scheduling when a vendor is deficient, following whatever policy legal and finance agree on.
What breaks in production
- Multiple policies, multiple dates. One certificate lists four policies with different expiration dates. The register must track each coverage separately, not one date per certificate.
- Umbrella and excess coverage. A requirement may be met by combining primary and umbrella limits. Encode whether that is allowed for each requirement instead of letting the model decide.
- Name mismatches. The certificate shows the parent company or a trade name. Keep an alias table and send mismatches to a person rather than auto-matching.
- Recycled documents. Vendors resend the same expired certificate in reply to a renewal request. Compare against what is on file before marking anything received.
- Poor scans. Faxed or photographed certificates extract badly. Route low-confidence extractions to review and ask the vendor for a clean copy.
- Judgment disguised as extraction. Whether a SOC 2 exception or a qualified opinion matters is not an extraction task. The model summarizes; a person decides and records the decision.
Timeline and cost
A program covering two or three document types, with vendor outreach and a register, typically takes four to seven weeks, including the backfill. Lumeor builds this as a small automation program in the range of $15,000 to $30,000, depending on the number of document types, vendor volume and whether results feed AP or project systems. Model costs scale with pages processed and are usually modest compared with reviewer time. For vendors still being set up, connect this to automated vendor onboarding so required documents are collected on day one.
How to measure success
- Share of active vendors fully compliant, by tier
- Vendor-days of lapsed coverage or expired licenses, which should fall steadily
- Days from deficiency notice to corrected document
- Extraction accuracy on a monthly sample checked by a person
- Reviewer hours per month spent on document checks
- Incidents where a non-compliant vendor was scheduled or paid, which should reach zero