Sanctionkit
A deployer-side RevOps governance overlay that inventories AI features, records observable decision events, routes classification and impact review, and exports evidence mapped to verified obligations.
Revenue teams use scoring, routing, forecasting, sentiment, and outreach features across several vendors, often without a shared inventory or evidence model. The EU AI Act creates a timely governance need, but Article 12 does not automatically make every RevOps event high-risk or require every deployer to create a monthly conformity binder. Sanctionkit should begin with use-case classification and observable logging: record what each tool actually does, determine the firm's role and applicable category with qualified reviewers, then map only supported duties to evidence.
The RevOps, privacy, legal, compliance, or AI-governance owner at an EU-facing company using multiple AI-enabled sales systems.
The input identifies a concrete August 2026 forcing function.
Per-decision evidence is useful only if the product avoids overclassifying ordinary sales automation.
The input has several references but modest grounded convergence.
A near-term regulatory milestone, a specific multi-tool workflow, and a vertical evidence catalog create a timely differentiated overlay.
The market is crowded, a generic decision-log competitor exists, both interfaces are unverified, the buyer is broad, and applicability requires contextual legal classification.
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