Email Audit Rules Engine

Audits email quality and compliance with a rules engine.

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Score outbound customer replies from .eml threads using a small, tunable ruleset

This service audits email quality for threads saved as .eml files. A rules engine applies checks the README lists (such as greeting, clarity, grammar, and professional tone) and returns an overall score, pass/fail per rule, and short justifications. It assumes the last message in the thread is the employee reply and focuses on the main response body (quoted or forwarded blocks are not the center of analysis).

When it is useful

You want repeatable, explainable checks on draft or archived replies, you are prototyping QA workflows for support teams, or you need a container-friendly way to batch-evaluate sample threads. It fits internal tooling and experiments, not an instant “compliance certification” product by itself.

What you can do

  • Point the CLI at one or more .eml files and choose which rules to enable.
  • Label employee mail with a domain hint so the parser knows who “you” are in the thread.
  • Run via Docker Compose or locally as documented in the GitHub repository.
  • Read strengths and improvement notes alongside numeric results in the console-style output shown in the project media.

Limits

  • Rule coverage is finite: it checks what the engine implements, not every regulatory, contractual, or industry rule you may owe.
  • No automatic legal compliance: outcomes are heuristic; escalate anything legally sensitive to human review and proper counsel.
  • Thread assumptions matter: mis-ordered messages or unusual formats can skew results; validate on your real archives before trusting scores.

Frequently asked questions

What does this service audit?

It scores outbound customer replies from .eml threads with a tunable rules engine. Checks include greeting, clarity, grammar, and professional tone, returning an overall score, pass/fail per rule, and short justifications.

What assumptions does the parser make?

The last message in the thread is treated as the employee reply, and analysis focuses on the main response body (quoted or forwarded blocks are ignored). Pass --employee-domain so the parser knows which addresses are yours.

How do I run it?

Use Docker Compose or the CLI with --email-threads, --employee-domain, and --rules (GREETING, CLARITY, GRAMMAR, TONE). Point at sample files under data/ or your own .eml threads.

Is this legal compliance certification?

No. Outcomes are heuristic. Rule coverage is finite, and anything legally sensitive needs human review and proper counsel. Validate on your real archives before trusting scores.

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