Practical material for teams embedding or evaluating AI analysis. Useful whether or not you use Encevra.
Guide · for product and engineering leads at software companies
A practical architecture for adding evidence-linked document analysis to a software product with an asynchronous API, including a worked example, integration decisions and real limits.
Guide · for legal operations and in house counsel
Build a small, fair evaluation set from your own playbook and agreements before trusting any contract review API, with a worked request, scoring criteria and real limits.
Guide · for procurement teams and buyers
Compare vendor proposals row by row against your requirements, with the quote behind every cell.
Guide · for anyone shipping ai output with citations
Locating a source passage is different from showing that it supports a conclusion. How to tell the difference in your product.
Guide · for product designers and engineers
Design your interface so that a withheld or incomplete result is useful rather than a dead end.
Guide · for evaluation and ml engineers
How to compare a multi-role workflow with a strong single model without stacking the deck.
Guide · for product managers and finance partners
A simple model for estimating what an analysis feature will cost to run, using measured per-run figures.
Guide · for operators and team leads
Turn a review you do every week into an engine configuration with rules, hard cases and examples.
Guide · for ctos and engineering leads
When a model API alone is enough, when an orchestration framework fits, and when a managed workflow is worth it.
Developer guide · for backend developers
Submit a run, track it, handle released, incomplete and failed results, and retry safely.
Developer guide · for backend developers
How Encevra signs webhook deliveries and how to verify them.
Checklist · for teams running a scoped evaluation
A reusable checklist for evaluating any document analysis API on your own representative tasks.