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SLM-Works

Coming soon

SLM-Works Compliance Checker

Policy conformance screening for outgoing content

Screens content against internal policy rules and returns actionable violations with traceable audit evidence.

3B~90% fewer tokens per check vs GPT-4

How it works

  1. Step 1

    Receive text payload and policy rule set version.

  2. Step 2

    Evaluate against rule library and severity matrix.

  3. Step 3

    Return violations with clause-level rationale.

  4. Step 4

    Log outcome and optional rewrite suggestions for audit trails.

Example

Example input

Draft outbound campaign email for regulated financial product.

Example output

{ status: 'violations-found', issues: [{ rule: 'risk-disclosure-missing', severity: 'high' }], rewrite: '...' }

Key features

  • Rule-based conformance checks at scale
  • Violation explanations with clause references
  • Minimal rewrite suggestions
  • Audit logging support for controlled environments

Rollout guidance

  • Version policy libraries and approval workflows.
  • Treat rewrite suggestions as assistive, not auto-publish, in strict industries.

Ideal for

Compliance teamsFinancial institutionsHealthcare operatorsMarketing legal review

FAQ

Can this enforce different policies by business unit?

Yes. Most deployments use policy packs mapped to brand, market, or regulatory scope.

Want this model in your stack?

We can scope a deployment blueprint, evaluation set, and integration plan for your data and infrastructure constraints.