Connected signals
Bring together relevant information from business systems into a coherent view for revenue decisions.
AI-Driven Business & Revenue Automation
Prototype development of AI-driven automation that connects business data and workflows to support revenue operations — with governed data access and explainable outputs.
Overview
Revenue teams work across many systems and repetitive processes. Revenue Intelligence explores how AI can assemble the right signals and automate routine steps without creating ungoverned access to business data.
The project is in prototype development and builds on the same accountability principles as QNE Labs’ security work.
Design goals
Bring together relevant information from business systems into a coherent view for revenue decisions.
Automate routine revenue-operations steps with clear approval points for consequential actions.
Show the inputs behind each recommendation so teams can judge whether to act on it.
Reach business data through scoped, recorded connections rather than broad credentials.
Development status
Revenue Intelligence is in prototype development. It is not commercially available, and capabilities described here are design goals.
Status labels are provisional and subject to final founder verification.
AI Runtime Security & Governance
Designed to detect suspicious AI interactions, evaluate security policies, support enforcement and preserve auditable security evidence.
View product: Kavrent / ARIAIntelligent Legal Workflow Assistance
AI assistance for reviewing, organizing and working through legal documents and workflows, with traceability.
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Governed connections between AI systems and the enterprise tools and data they rely on.
View product: Connector as a ServiceTell us about your AI systems and the risks you’re working to control.