Partnership Proposal

Your automation
build partner.

You audit and roadmap. Your clients need it built. We ship production automation systems in 1-2 weeks. White-labeled under your brand.

Li Liu Founder & CEO
Arkzero arkzero.ai
Contact team@arkzero.ai
01

Who We Are

Arkzero is a startup studio. We build agent-native products and automation systems.

AI Agent SaaS

We build and run our own AI agent products. Autonomous systems that ship to real users.

Automation Builds

We build and deploy agentic workflow systems for SMEs. Multi-step systems that reason, hold state, and run autonomously.

n8n LangGraph Custom Code PostgreSQL Supabase OpenAI Claude Vector RAG
01.5

Why This Works

Your client says "great, now build it." You need a team that ships before the momentum dies.

1-2 weeks
Spec to deployed system
Industry average: 8-12 weeks
Us
Others
Week 1 Week 12
$35/node
Below market. Production-grade.
Agency average: $100-200/node for the same quality
Arkzero (40 nodes) $1,400
Typical agency (same build) $5,000-$15,000
Any workflow
Custom to each client. No forced templates.
Experimental architectures welcome.
Multi-agent orchestration
Voice AI + transcription
MCP tool integrations
Custom data pipelines
RAG + vector search
Hybrid code + no-code
Claude 4.6 / GPT-5.4
Cutting-edge models, always current
Open to experimental workflows and new architectures
n8n LangGraph Vector RAG MCP Supabase PostgreSQL
02

What We Build

Agentic automation systems that get your clients more customers. Multi-step workflows that reason, remember, adapt, and run end-to-end without human intervention.

01 — AI Prospecting + Outreach Pipeline
Find, score, and email qualified leads on autopilot
40 nodes
02 — AI Review Monitoring + Reputation System
Collect, analyze, respond to, and weaponize reviews
33 nodes
03 — AI Lead Intake + Booking Agent
24/7 conversational agent that qualifies and books
31 nodes
04 — AI Customer Reactivation + Follow-up Engine
Re-engage lapsed clients and prevent no-shows
36 nodes
05 — AI Content + Social Distribution Pipeline
Research, write, publish, and distribute on autopilot
36 nodes

These are examples of systems we built recently. We build any agentic automation scoped to your client's needs. All workflows run on n8n + LangGraph + custom code, deployed to production, and white-labeled under your brand.

02.1

AI Prospecting + Outreach Pipeline

End-to-end lead generation. From ICP definition to booked meetings, fully autonomous.

Prospecting Pipeline
Nodes
40
AI Models
GPT-5.4 / Claude Sonnet 4.6 × 4
Company research, email generation, tech analysis, reply classification

What It Does

Runs daily. Pulls leads from Apollo, Clearbit, and Hunter.io. Enriches with LinkedIn data, BuiltWith tech stack analysis, and Snov.io profiles. Deduplicates, merges, and scores every lead against your ICP (company size, industry, tech stack, funding). Leads scoring 60+ get AI-written personalized cold emails with human approval routing. Sends via SMTP or Resend with email warmup, rate limiting, bounce monitoring, and unsubscribe management. Replies are AI-classified (interested, not interested, OOO, unsubscribe) and hot leads trigger instant Slack alerts + auto-booking via Cal.com. Daily analytics report sent to your inbox.

Integrations

  • Apollo.io (prospect search)
  • Clearbit (contact enrichment)
  • Hunter.io (email discovery)
  • LinkedIn / Scrapin.io (profile data)
  • BuiltWith (tech stack analysis)
  • Snov.io (email verification)
  • Resend + SMTP (sending)
  • Cal.com (auto-booking)
  • Slack (alerts)
  • PostgreSQL + Supabase (CRM)

What It Replaces

  • Manual lead research (3-4 hrs/day)
  • Copy-paste email personalization
  • Spreadsheet-based lead tracking
  • Manual reply sorting and follow-up
  • BDR/SDR salary ($50-80K/year)
TIME SAVED
25-30 hrs/week
02.2

AI Review Monitoring + Reputation System

Collect reviews from every platform. Analyze, respond, and turn reputation into revenue.

Review Monitoring
Nodes
33
AI Models
GPT-5.4 / Claude Sonnet 4.6 × 5
Sentiment analysis, key extraction, response drafting (neg + pos), weekly summary

What It Does

Runs every morning. Pulls new reviews from Google, Yelp, Trustpilot, and Facebook. Normalizes, deduplicates against processed reviews, then runs AI sentiment analysis (positive/negative/neutral, score 1-10, category tagging: service quality, wait time, pricing, staff, etc.). Negative reviews trigger instant Slack alerts with AI-drafted responses for approval. Positive reviews get thank-you responses and review request triggers for happy customers. Competitor reviews tracked in parallel. Pattern detection identifies recurring issues weekly. Anomaly detector flags negative review spikes with emergency alerts. Weekly executive summary and monthly aggregation reports delivered by email.

Integrations

  • Google Business Profile API
  • Yelp Fusion API
  • Trustpilot API
  • Facebook Graph API
  • Google My Business (reply posting)
  • Yelp (reply posting)
  • Slack (alerts + emergency)
  • SMTP (reports)
  • PostgreSQL + Supabase (storage)

What It Replaces

  • Manually checking 4+ review platforms daily
  • Missed negative reviews going viral
  • Generic copy-paste review responses
  • No competitor benchmarking
  • Reputation management retainer ($1-3K/mo)
TIME SAVED
10-15 hrs/week
02.3

AI Lead Intake + Booking Agent

Conversational AI that qualifies inbound leads 24/7 across web, voice, and SMS. No missed calls, no lost leads.

Lead Intake Agent
Nodes
31
AI Models
GPT-5.4 / Claude Sonnet 4.6 × 5
Intake agent, voice transcription, lead scoring, follow-up writer, urgency nudge

What It Does

Multi-channel intake system. Accepts leads from web forms (webhook), Twilio voice calls (AI transcription), and SMS. AI agent runs a slot-filling conversation: collects name, email, phone, service needed, preferred date, and urgency level. One question at a time. Session state persisted in Supabase so conversations can resume across channels. Once qualified, AI scores the lead (hot/warm/cold) with estimated service value. Hot leads trigger instant Slack alerts and auto-book via Cal.com with email + SMS confirmation. Stale sessions get AI-written follow-up messages. Unbooked qualified leads get urgency nudges. Daily intake analytics tracked and stored.

Integrations

  • Twilio (voice + SMS inbound)
  • Webhook (web form intake)
  • Cal.com (auto-booking)
  • Supabase (session persistence)
  • PostgreSQL (conversation logs)
  • Slack (hot lead alerts)
  • SMTP (confirmations + follow-ups)

What It Replaces

  • Receptionist answering calls ($35-50K/yr)
  • Missed after-hours calls (40%+ of inbound)
  • Leads lost between inquiry and booking
  • Manual follow-up on abandoned inquiries
  • Paper intake forms and manual CRM entry
TIME SAVED
20-25 hrs/week
02.4

AI Customer Reactivation + Follow-up Engine

Re-engage lapsed clients, prevent no-shows, and automate post-service follow-up. The cheapest way to get revenue: sell to people who already bought.

Customer Reactivation
Nodes
36
AI Models
GPT-5.4 / Claude Sonnet 4.6 × 6
Reactivation email/SMS, reminders, post-service follow-up, no-show messages, VIP offers, weekly report

What It Does

Runs daily across 4 parallel tracks. (1) Lapsed customers: finds clients who haven't visited in 90+ days, segments by lifetime value (VIP/high/medium/low), generates personalized reactivation emails and SMS with VIP-specific offers. Drip sequences scheduled automatically. (2) Appointment reminders: sends AI-written reminders 24h before via email + SMS. (3) Post-service follow-up: sends personalized thank-you with review request link and next-visit recommendation. (4) No-show recovery: sends gentle rebook messages without guilt-tripping. All engagement tracked. Churn risk scores calculated. Weekly engagement report with reactivation success rates, no-show reduction metrics, and recommended adjustments delivered via email + Slack.

Integrations

  • PostgreSQL (customer database)
  • Supabase (drip queue + metrics)
  • Twilio (SMS delivery)
  • SMTP (email delivery)
  • Slack (weekly summaries)

What It Replaces

  • Manual reminder calls (2-3 hrs/day)
  • No follow-up after service (lost rebookings)
  • No-show rate of 15-20% (reduced to 5-8%)
  • Lapsed customers never contacted again
  • No churn visibility until it's too late
TIME SAVED
15-20 hrs/week
02.5

AI Content + Social Distribution Pipeline

Research trending topics, write SEO-optimized articles, generate images, and distribute across 6+ platforms. Daily. Zero manual work.

Content Distribution
Nodes
36
AI Models
GPT-5.4 / Claude Sonnet 4.6 × 5
Topic selection, article writing, SEO optimization, social adaptation, strategy advisor

What It Does

Runs daily at 6am. Scrapes Google Trends, NewsAPI, Reddit, and X/Twitter for trending topics. AI selects the top 3 most relevant to target audience. SEMrush keyword research runs in parallel. AI writes a full 1,500-word SEO-optimized article with hero image (GPT Image 1.5). Publishes to CMS automatically. Then adapts the article into 6 platform-specific social posts (LinkedIn, X, Instagram, Facebook, Threads, Pinterest) with correct formatting, hashtags, and tone for each. All posts published automatically. Short-form video scripts generated from each article. Evening analytics pulls engagement data from all platforms, calculates cross-platform performance, and AI strategy advisor recommends next week's topics based on what worked.

Integrations

  • Google Trends / SerpAPI
  • NewsAPI
  • Reddit API
  • X/Twitter API
  • SEMrush (keyword research)
  • OpenAI GPT Image 1.5 (image generation)
  • WordPress / CMS API
  • LinkedIn, X, Instagram, Facebook, Threads, Pinterest (publishing)
  • Supabase (content log + calendar)

What It Replaces

  • Content writer ($3-6K/mo)
  • Social media manager ($2-4K/mo)
  • SEO consultant ($1-2K/mo)
  • Manual cross-posting to 6 platforms
  • No performance tracking or strategy iteration
TIME SAVED
30-40 hrs/week
03

Packages + Pricing

Build pricing is node-based: ~$35/node, with a premium on complex nodes (AI agents, difficult integrations). Final price confirmed after scoping session.

AI Prospecting + Outreach Pipeline
40 nodes. Apollo, Clearbit, Hunter.io, LinkedIn enrichment, ICP scoring, AI email gen, warmup, bounce handling, reply classification, auto-booking.
~$1,400
AI Review Monitoring + Reputation System
33 nodes. Google, Yelp, Trustpilot, Facebook reviews. AI sentiment analysis, response drafting, competitor tracking, pattern detection, anomaly alerts.
~$1,155
AI Lead Intake + Booking Agent
31 nodes. Multi-channel (web, voice, SMS). Stateful AI conversation, slot-filling, lead scoring, auto-booking via Cal.com, follow-up sequences.
~$1,085
AI Customer Reactivation + Follow-up Engine
36 nodes. Lapsed customer reactivation, VIP offers, appointment reminders, post-service follow-up, no-show recovery, churn risk scoring, drip sequences.
~$1,260
AI Content + Social Distribution Pipeline
36 nodes. Trend scraping, SEO research, AI article writing, image generation, CMS publishing, 6-platform social distribution, analytics + strategy recommendations.
~$1,260
Custom Workflow Build
Any agentic automation scoped to your client's specific needs. Priced per node (~$35/node), premium on complex AI agent nodes and difficult integrations.
Scoped
50% upfront, 50% on delivery
Infrastructure billed at cost ($25-$300/mo typical)
30-day observation period included (monitoring + bug fixes)
Optional support retainer: 10-20% of build cost/mo
Delivery: 1-2 weeks for standard builds
Scoping session before every build (free)

* Prices shown are the build fee only. Monthly AI API usage (OpenAI, Anthropic, etc.), hosting/infrastructure, database setup, and third-party integration costs are billed separately at cost with a full breakdown on each invoice. AI models are interchangeable (GPT-5.4, Claude Sonnet 4.6, open-source) based on performance and cost requirements.

04

The Partnership Model

You own the client. We build the system. White-labeled under your brand.

1

You Scope

Scope the project with your client. Define the workflow.

2

We Build

Send us the spec. We build and test in 1-2 weeks.

3

You Deliver

White-labeled under your brand. Your client, your relationship.

4

You Resell

Deploy the same build to new clients. Almost pure margin.

Worked Example: AI Review Monitoring System (33 nodes)

You pay Arkzero
$1,155
33 nodes × $35/node
You sell to client
$3,000+
Typical 2-3x markup
Your profit
$1,845+
First client
2nd client cost
$115/yr
10% annual license only
You sell to 2nd client
$3,000+
Same price, no rebuild
Your profit
$2,885+
Every client after the first

You Handle

  • Client relationship and communication
  • Scoping and requirements gathering
  • Pricing and invoicing to your client
  • Ongoing client management
  • Sales and business development

We Handle

  • Build and deploy the automation system
  • Hosting and infrastructure setup
  • 30-day observation period post-launch
  • Bug fixes during observation
  • Technical documentation

IP and Ownership

Arkzero retains underlying workflow logic and infrastructure IP. You receive full commercial rights to sell and deploy under the licensing agreement. Builds are white-labeled to your brand.

First build is on us.

We'll build the first automation system at no cost. If you want to keep it, we'll give you a fair price. If you don't want to work with us after seeing it, walk away. Zero risk.

1-2 Week Delivery
Production-grade
30-Day Guarantee
On all future builds
No Minimums
Start with one build, scale when ready