AmpliVex

AMPLIVEX

AI-Augmented Enterprise Sales

An AI-augmented practice for modern B2B sales.

01 · Thesis

Software is becoming work, not just access.

For two decades, enterprise software was sold by the seat. Buyers paid for access to a tool, then paid people to use it. That model is breaking. Capable AI agents now perform the work the tool was meant to enable, end to end, with audit trails and accountability for the result.

The next generation of B2B software will be priced against outcomes, not headcount. Per deal qualified, per case processed, per task completed. The vendors who win this shift will package digital workers the way buyers used to package SaaS, with governance and observability around every action. AmpliVex is built on that thesis. AI-augmented practices now, outcome-accountable agentic products next.

02 · Practice

B2B sales, augmented end-to-end.

Over a decade of advanced technology sales across regulated industries. MEDDPICC-trained, multi-stakeholder, full-cycle. The motion adapts from growth-stage B2B teams to large enterprises, with deeper specialization in regulated industries like financial services, legal/eDiscovery, and cybersecurity. Comfortable carrying a deal from the first qualifying conversation through executive sponsorship and signature, in environments where the buyer has compliance, procurement, and risk weighing every line of every contract. Operates an AI-augmented sales motion designed to compress cycle time across prospecting, deal acceleration, and post-call review. The conviction underneath: AI does not replace consultative selling. It removes the friction around it, so the human work, framing, listening, judgment, gets the time it deserves.

03 · Builder

I build with the tools I sell.

Daily working practice with Claude Code, MCP, and the Anthropic API. Internal tools shipped, agents wired, skills authored. The same hands that work the sales motion.

A sales practitioner who ships software has different instincts about what B2B buyers want from an AI vendor. The pitch is shorter, the demo is real, and the technical claims survive a procurement review because someone on the team has actually written the code, not just sold around it.