We design, deploy, and train your team on a private AI-native GTM system — outbound, content, search, inbound, and partner — without depending on a black-box agency.
Hiring signal — VP Sales posted 2h ago. OB-01 queued personalised video outreach.
CTO engaged with your AI agents post. LI-02 triggered connection + comment sequence.
AI citation detected — Perplexity surfaced CO-03 asset in 3 unprompted queries.
Visitor identified — Series B SaaS, 180 employees. IN-01 routed to calendar in 3m 42s.
Funding signal — $45M Series C announced. OB-03 sequence triggered for 7 matched contacts.
Lead magnet downloaded — Head of RevOps submitted LI-04. Matched to ICP tier 1.
Dark social spike — CO-01 post reshared by 3 VPs in a target account cluster.
High-intent visit — Pricing viewed 4× in 2 days. IN-02 routed SDR with full account brief.
Tech stack signal — HubSpot → Salesforce migration detected. OB-02 pain sequence triggered.
Profile view spike — CMO viewed your profile twice this week. LI-01 warm sequence started.
SEO win — CO-04 article ranked #1 for "AI outbound tools" — 2,400 monthly searches.
Demo booked — VP Marketing, 600-person SaaS. Responded in 4m 11s via IN-01 automation.
AI citation spike — SR-02 detected 12 brand mentions across ChatGPT, Perplexity, Claude.
Hiring signal — VP Sales posted 2h ago. OB-01 queued personalised video outreach.
CTO engaged with your AI agents post. LI-02 triggered connection + comment sequence.
AI citation detected — Perplexity surfaced CO-03 asset in 3 unprompted queries.
Visitor identified — Series B SaaS, 180 employees. IN-01 routed to calendar in 3m 42s.
Funding signal — $45M Series C announced. OB-03 sequence triggered for 7 matched contacts.
Lead magnet downloaded — Head of RevOps submitted LI-04. Matched to ICP tier 1.
Dark social spike — CO-01 post reshared by 3 VPs in a target account cluster.
High-intent visit — Pricing viewed 4× in 2 days. IN-02 routed SDR with full account brief.
Tech stack signal — HubSpot → Salesforce migration detected. OB-02 pain sequence triggered.
Profile view spike — CMO viewed your profile twice this week. LI-01 warm sequence started.
SEO win — CO-04 article ranked #1 for "AI outbound tools" — 2,400 monthly searches.
Demo booked — VP Marketing, 600-person SaaS. Responded in 4m 11s via IN-01 automation.
AI citation spike — SR-02 detected 12 brand mentions across ChatGPT, Perplexity, Claude.
We deploy your private AI GTM system inside your environment, connect it to your stack, train your team, and hand over full ownership — no ongoing dependency.
WHY THE OLD MODEL FAILS
You pay a retainer. They work in a black box. When you stop paying, the pipeline stops. You own nothing — no data, no process, no institutional memory.
Autonomous AI SDRs promised to fix this. They didn't. 70–80% churn inside 12 months. The problem wasn't the AI — it was removing the human from the loop entirely.
of autonomous AI SDR deployments churn within 12 months
a16z · TechCrunch 2025
average reply rate on generic outbound without signal targeting
Letterdrop benchmark
average inbound demo response time vs. <5 min with system
Harvard Business Review
assets owned after agency contract ends — no data, no process, no IP
Standard agency model
// THE PORTFOLIO
Each OS is a set of productised n8n workflows, Claude skills, and HubSpot integrations — deployed on your VPS, owned by you, operated by your team. Mix and match. Start with one Sprint. Scale from there.
Organic inbound-led
engagement-based reply rate
vs sub-5% cold outreach
Signal + video pipeline
signal-based reply improvement
18% vs 3.43% average
Organic + paid + dark social
YoY AI-sourced leads growth
AEO · #1 B2B priority 2026
SEO + AEO + alternatives
AI platforms cited weekly
ChatGPT · Perplexity · Claude · +5
Prospect-comes-to-you
demo response time
vs 47h average · 21× qualification rate
Referral · account map
of revenue from partner channel
10% of pipeline · 40% higher AOV
All OS deployments include the Skill Layer — SK-01 Voice Cloner · SK-02 Post Editor · SK-03 Cold Email · SK-04 ICP Profiler · SK-05 n8n Architect · SK-06 Cold Call Scripts
View full portfolio →// THE DEPLOYMENT MODEL
This is not a managed service. It's a done-with-you build. We deploy the infrastructure, train your team, hand over the keys. No ongoing dependency. No monthly retainer unless you want one.
Step 01 — Architecture call
We run SK-04 ICP Profiler with you — 15 questions across firmographic, trigger, buying signal, and commercial pattern. Then we extract your voice with SK-01 Voice Cloner. This defines who to target and how to sound before a single line of automation is written.
Step 02 — Deployment Sprint
5 days for a single system. 3–4 weeks for a full OS. All workflows built in n8n on your VPS. Your credentials, your Qdrant, your Postgres. HITL gates enforced on every outward action — nothing sends without human approval.
Step 03 — Handover
Full runbooks, n8n workflow exports, all 6 skill files, and 30 days of post-handover support. Your team operates, modifies, and extends every system independently. No subscription. No lock-in.
Not 28 narrow point solutions. One system trained on your best performer's scripts. AI handles 60–80% of repetitive tasks. Humans handle strategic conversations.
2.8× more pipeline than full automation.
Every system runs on your VPS. Your credentials, your Qdrant, your Postgres.
No shared cloud service. No subscription price hikes. No one can lock the doors.
ICP Profiler defines targets. Voice Cloner defines sound. Post Editor gates content. Cold Email gates sequences.
Every output meets a defined standard before a human sees it.
Full runbooks, system documentation, n8n workflow exports, and all 6 skill files delivered at handover.
No dependency on SalesSystems.AI post-delivery.
How do you want to deploy?
// THE NUMBERS
Every metric below is sourced from third-party benchmarks, client data, or published research. We don't invent outcomes — we architect systems that reach them.
signal-based reply rate improvement over generic outbound
Letterdrop · 18% vs 3.43% baseline
reply rate via engagement-based warm DM outreach
Letterdrop · vs sub-5% cold
reply rate with video at step 2 of cadence vs text-only
Intercom · 8% vs 22% LinkedIn DM
higher qualification rate responding to demo requests in under 5 minutes
Harvard Business Review
of revenue from partner channel on 10% of pipeline volume
Ebsta · Pavilion
YoY growth in AI-sourced high-intent leads via AEO strategy
Docebo · 2025
reply rate uplift from LinkedIn voice notes — structurally unautomatable
LI-08 Voice Note Queue · LinkedIn API design constraint
// ENGAGEMENT TIERS
All tiers include client-owned infrastructure. No shared cloud. No vendor lock-in. Skill Layer included from OS Deploy.
All tiers · client-owned infrastructure · Skill Layer (SK-01–SK-06) included from OS Deploy · Technical architecture on request
Stop relying on manual processes and outdated playbooks. Deploy an autonomous revenue engine built on real systems engineering.