Sensible for Insurance Document Parsing

In-Depth Review

Sensible takes a developer-first approach to document parsing that sets it apart from enterprise IDP platforms. Instead of a black-box AI engine, you configure extraction rules using SenseML, a JSON-based query language that specifies exactly what data to pull from a document and where to find it. This makes extraction logic testable, version-controllable, and debuggable in ways that model-only approaches cannot match.

What Sensible Does for Insurance Teams

The platform ships with pre-built extractors for the most common insurance document types: ACORD 25 (certificate of liability), ACORD 28 (evidence of property), ACORD 125/126 (commercial applications), ACORD 130 (workers comp), loss runs, and statements of values. These configs handle the standard field layouts and can be customized for carrier-specific variations.

Under the hood, Sensible runs a hybrid extraction pipeline. It uses LLM-based extraction for semi-structured content (like free-text loss descriptions or agent notes) and falls back to layout-aware positional matching for structured form fields where coordinates are reliable. This dual approach handles the reality that insurance documents range from perfectly formatted ACORD forms to scanned, handwritten broker submissions.

Pricing and Practical Considerations

Sensible’s pricing is straightforward: $499/mo for 500 documents at Starter, $999/mo for 2,000 at Growth, with enterprise volume pricing available. Per-document costs are predictable, which matters for budgeting at MGAs where submission volume fluctuates seasonally.

The tradeoff: Sensible requires developers. There is no no-code interface for business users to configure new document types. If your team has engineers comfortable with JSON and APIs, this is a strength. If you need underwriters to self-serve extraction changes, look elsewhere.

Honest Assessment

Sensible excels at the extraction layer but stops there. It does not route documents, make underwriting decisions, or manage approval workflows. You will need to connect it to your own orchestration layer or a workflow tool. For teams already building custom submission intake systems, this is fine; the API is clean and the webhook support handles async processing well. For teams wanting an all-in-one solution, the gap between extraction and action requires additional tooling.

Who Should Consider Sensible

InsurTech startups and tech-forward MGAs building their own submission intake pipelines. If your engineering team wants to own the extraction logic rather than depend on a vendor’s black box, and you value transparent pricing over enterprise sales cycles, Sensible is worth evaluating against the pre-built ACORD forms you process most frequently.