AI Compliance & Verification
Compliance Checker
An orchestration system that checks content against a defined set of standards and returns a report showing where each standard is satisfied and where it falls short. Because the standards are an input, the same pipeline works for curriculum benchmarks, legal and compliance requirements, or internal policies.
Live demo — click around
DNA carries the instructions for building proteins. The order of bases along the strand specifies the order of amino acids, which fold into a protein with a specific function. Specialized cells express different genes to do different jobs.
Evidence: "the order of bases specifies the order of amino acids"
Why: Directly links the base sequence to how the protein is assembled.
Interactive prototype with representative sample data.
The challenge
Confirming that a document actually meets a set of standards is slow, manual, and easy to get wrong. Someone has to hold each requirement in their head, read the content closely, and judge whether it is met, then repeat that for every standard and every revision. A missed requirement does not announce itself; it stays invisible until an audit, a rejected submission, or a compliance problem surfaces it.
Our approach
The Compliance Checker takes a piece of content and a set of standards, evaluates the content against each standard independently, and compiles the results into a structured report. For every standard it returns a clear verdict, satisfied or not, with the specific passage that supports the call and the reasoning behind it, so a reviewer sees not just the result but why. Amazon Bedrock (Claude) does the language-level analysis, wrapped in a deterministic orchestration layer that runs each check in a fixed, repeatable order rather than letting a model roam on its own. Every gap is surfaced for a human to accept or fix, so the system informs the decision instead of silently passing or failing content. Because the standards are supplied as input, the same pipeline checks curriculum content against education standards, a contract against clause requirements, or a document against an internal policy set.
How it works
Provide the content and the standards
The user supplies the content to review and the set of standards or requirements to check it against. The standards are an input, so the same tool works across curriculum, legal, and policy domains.
Break each standard into a discrete check
A long or vague requirement is split into concrete, individually testable checks, so nothing hides inside a broad standard that is only partly met.
Evaluate each check against the content
Amazon Bedrock (Claude) analyzes the content for each check in turn, deciding whether it is satisfied and pulling the specific passage that supports or contradicts it.
Run the checks in a fixed order
A deterministic orchestration layer runs the checks in a defined, repeatable sequence rather than letting the model choose its own path, so the same content and standards produce the same result every time.
Compile a satisfied or not-satisfied report
The results are assembled into a report that shows, standard by standard, where the content meets the mark and where it falls short, each verdict backed by the evidence and reasoning behind it.
Hand the gaps to a human
The report puts the gaps in front of a reviewer to accept or fix, so the system informs the decision instead of quietly passing or failing content on its own.
Tech stack
Results
Turns a slow, subjective review into a repeatable, evidence-backed check that produces the same report every time it runs. Because every verdict carries the passage and reasoning behind it, a reviewer can trust and audit the result rather than re-reading the whole document. Quantitative outcomes should be filled in from real production data.
Standards checked per document
Review time saved per document
Gaps caught before submission
Documents checked per month
Metrics to be populated with the project owner’s real figures.
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