Sales OS

A revenue engine that scales without req's.

Your pipeline growth is governed by how many reps and SDRs you can hire, ramp, and retain. Sales OS removes that governor. AI SDRs and AI Marketing Managers orchestrated into one self-improving pipeline system — production-deployed three times across PE-backed operators.

~70%
Below mid-market SDR cost/meeting
< 24h
Time-to-first-touch on fit accounts
$400–600K
First-90-day qualified pipeline
Production deployments to date

Why revenue leaders hire us

You're not short on leads. You're short on a system that compounds.

Every revenue org we walk into has the same four problems wearing different labels. None of them are fixed by buying another point tool.

01 / Hiring is the governor

Pipeline plans collapse the moment a rep slot sits open.

90 days to backfill, another 90 to ramp, and growth drifts backward in the gap. The plan on your whiteboard assumes perfect hiring. It never is.

02 / SDR tools failed you

The 2025 AI SDR wave tanked your reply rates.

You tried Artisan, 11x, or a Clay build. Volume went up, inbox credibility went down, ramp-time for a human rep got harder, not easier. You don't need another bulk sender.

03 / The system doesn't learn

Every rep starts from zero.

What works on Monday isn't captured anywhere. Your best SDR leaves and the playbook leaves with her. Nothing compounds.

What we install

The Sales OS — four stages, one compounding system.

Same architecture across every deployment. What changes is your ICP, your vocabulary, and the specific signals your buyers respond to. The system stays stable; the instrumentation adapts to you.

Stage 1 · One-time fee

Diagnostic

Two weeks. We map your current GTM, score candidate workflows against ROI + feasibility, and deliver a prioritized roadmap with a business case for each agent worth deploying. Refunded if we can't find $100K+ of annual value.

Stage 2 · One-time fee

Org & Workflow Design

We redesign the workflow your agents will live inside — data model, handoffs, human review gates, performance dashboard. The agents are only as good as the workflow around them. This is where most AI SDR deployments fail; it's where ours start.

Stage 3 · Monthly recurring

Agents deployed + operated

We build, deploy, and run the agents. Monitoring, tuning, upgrading as models improve, adding the next agent when the first is humming.

AI SDRs

Prospect research, ICP scoring on buying signals, personalized outreach, multi-channel send, response handling, CRM hygiene.

AI Marketing Managers

Account warming, content distribution, nurture sequencing, campaign instrumentation, engagement-to-handoff scoring.

↔ Recursive orchestration layer

The differentiator. SDR learnings feed marketing campaign selection. Marketing engagement feeds SDR prioritization. Every cycle compounds — the system gets sharper every week it runs. This is what nobody else ships.

What changes at the P&L level

Revenue-per-head goes up. Hiring stops being the ceiling.

CAC ratio improves structurally

Cost per qualified meeting lands ~70% below mid-market SDR benchmarks in the deployments we've shipped. Not a pilot number — the run-rate cost after 90 days in production.

Pipeline stops being seat-dependent

Growth projections no longer require "and we hire 4 more SDRs." Throughput scales with capacity, not headcount — you buy more agent hours when you need more pipeline.

Institutional knowledge gets captured

What works on Monday is encoded into the system by Tuesday. Your best SDR's playbook doesn't leave when she does — the system keeps running it and refining it.

Your reps move upstream

AE time gets redeployed from cold prospecting to strategic account work and closing. The humans stop doing the work the system does better, and start doing the work only humans can do.

Anchor case

What it looks like when it's shipped.

Case 01 · PE-backed workforce development operator · $10–15M revenue

Autonomous SDR engine — pipeline as a system, not a coin flip.

A PE-backed operator with strong product and weak pipeline discipline. Seniors were prospecting well, juniors weren't. An offshore SDR experiment had already failed. The board was asking for an AI strategy; the honest answer was "people use ChatGPT to draft emails." We installed the Sales OS.

< 24h
Time to first touch
~70%
Below SDR benchmark cost
$400–600K
90-day pipeline
12–18×
Logged iterations since launch

Read the full case →

Questions revenue leaders ask us

Straight answers.

How is this different from Artisan, 11x, Regie, or a Clay build?

Artisan, 11x, Regie, and Clay are send engines. They make outbound louder. We're not that. Sales OS is the system that surrounds send — SDR and marketing agents coordinated inside a workflow with review gates, feedback loops, and an orchestration layer that learns every cycle. The 2025 AI SDR wave proved volume without orchestration burns sender reputation. We install the orchestration.

Do we have to rip out HubSpot / Salesforce / Outreach?

No. We build on top of your existing stack. The orchestration layer reads from and writes to your CRM. Your reps keep working where they already work.

Who owns pipeline quality — you or us?

During the build, quality is our problem. Once the system is stable, quality is the system's problem — we measure it continuously and tune until the qualified-meeting rate beats your human SDR baseline. If it doesn't, we don't charge the retainer.

What about sender reputation and deliverability?

We operate within volume and warmth thresholds that protect your domain. Reply rates and inbox placement are tracked as first-class metrics. We'd rather ship fewer, better-targeted touches than spray and burn your sender reputation — that's the 2025 AI SDR lesson we don't repeat.

How do we measure it?

Cost per qualified meeting, qualified-meeting-to-opportunity rate, cycle time from first touch to opp, pipeline-per-dollar-spent. Dashboarded in real time. Reviewed monthly. If the system isn't beating your pre-deployment baseline by month three, we didn't earn the retainer.

How we work together

Three steps. Same entry point, every time.

Diagnostic

$5,000

A focused engagement that maps where your sales or product operations are bleeding — and what to build first. Fixed scope, fixed fee.

Build

Scoped per engagement

Design and deploy the system. Typically a 4–10 week sprint scoped directly from the diagnostic findings.

Retainer

Ongoing partnership

Embedded capacity for operators who want continuous improvement. Scope and terms defined during the diagnostic.

All engagements begin with the diagnostic. Build and retainer investment is scoped from there.

Start here

Book a Sales OS diagnostic.

Two weeks, $5,000, a prioritized roadmap with the business case for each Sales OS agent worth deploying inside your business. Refunded if we can't find $100K+ of annual value.

Book a diagnostic