Allenix builds AI revenue systems for growth-stage B2B companies working through complex sales cycles. Rather than layering on new software, the work centers on aligning an existing sales process and connecting deal and customer context across the tools a company already owns, so a scattered set of platforms starts acting like one system.
The engagement starts with research: reviewing recorded sales calls, interviewing the founder and the sales leader, and studying competitors before any process design or CRM integration begins. From there, Allenix works inside a client's current systems when those systems are fit for purpose, focusing on data hygiene and sync, sales enablement systems, process design and playbooks, and AI strategy and governance rather than replacing infrastructure that already works. The stated split of responsibility is direct: Allenix brings the revenue architecture and the technical capacity, while the client's team runs the resulting workflow day to day.
Work is structured in three stages. An Assessment ($1,999, delivered over 10 business days) diagnoses where the sales process and tooling are breaking down. A Foundation engagement ($15,000) puts a first AI workflow live within 30 days. From there, a Scale phase ($10,000–$15,000 per month) continues the build-out on an ongoing basis. The pitch throughout is practical rather than experimental: close more deals with an AI revenue system the whole sales team can actually run, built around calls, interviews, and competitive research specific to that business rather than a generic template.