How It Works

How we build human-led AI sales systems

We start with the revenue bottlenecks, build the outbound, automation, and RevOps layer that fits your team, validate it in market, and scale only what proves itself.

Stage 1

Start with the diagnostic

01

The Discovery Call

A focused 15-minute diagnostic to map your pipeline bottlenecks, rep capacity, and target segment priorities.

02

Agreement and Onboarding

Once opportunity is clear, we finalize scope and launch onboarding to align teams quickly.

03

The Kickoff Call

We align stakeholders on ICP, offers, and agentic enrichment, the research and prep workflows behind better outreach, before building begins.

Stage 2

Build and validate in market

Phase 1

Foundation and First Tests

  • Offer definition and message refinement.
  • Agentic research and prep for accounts and contacts.
  • Small-scale campaign testing to validate hooks.

Phase 2

Validation

  • Analyze reply quality, intent, and sentiment.
  • Pivot messaging based on real market signals.
  • Double down only where intent quality is proven.

Phase 3

Scaling Up

  • Expand deployment across email and LinkedIn.
  • Increase throughput once offer-market fit is validated.
  • Run ongoing optimization with fractional RevOps support.
Stage 3

Operationalize the system

Step 01: Diagnose

Goal: Find the leaks.

Audit tech stack, data, and messaging.

Deliverable: The Pipeline Audit Report

Step 02: Design

Goal: Map the system.

Build workflow architecture and execution blueprint.

Deliverable: The Sales System Blueprint

Step 03: Deploy

Goal: Launch the workflows.

Set up domains, LinkedIn automation, CRM integrations, and agentic workflows that research accounts, route work, and prep reps.

Deliverable: Your Live Outbound Engine

Step 04: Deepen

Goal: Improve what works.

Run RevOps optimization and experimentation loops.

Deliverable: Ongoing Performance Reports

Next Step

Ready to build a sales system that makes more money and saves time?

We will diagnose your bottlenecks, map the right operating model, and launch with measurable execution.