AI Automation in the United States
Replace repetitive operational work with AI-augmented workflows in n8n, Make, Zapier, and custom Python — measurable hours-saved per month.
Who this is for
Operations leaders, agency owners, and founders drowning in manual workflows.
What problem this solves
Your team spends 20+ hours a week on copy-paste work, weekly reports, lead routing, and inbox triage. Every saved hour goes back into revenue work — but you don't have time to build the automations yourself.
Why this matters specifically in the United States
US teams have the highest expectations for AI deliverables in the world: production-grade engineering, observable systems, security review, and contracts written in plain English. Most successful engagements are paid in USD on a fixed-scope basis or via Upwork's enterprise contract or directly with a US LLC entity.
What you get
- A documented inventory of every automatable workflow in your business
- Top 5 workflows automated and live in week one
- n8n / Make / Zapier scenarios + custom Python services where needed
- A monthly hours-saved scorecard you can show your investors
How the engagement runs
- Audit (Day 1–2). We shadow your team for 2 days, map every recurring workflow, and rank by hours-saved-per-week × confidence.
- Quick wins (Week 1). Top 3 highest-ROI automations live and observable.
- Roll-out (Weeks 2–6). Iterate through the backlog. Each automation comes with monitoring + a manual-fallback runbook.
- Hand-off. Your ops lead gets a 60-min training and the documentation to maintain everything.
Deliverables
- Automation inventory spreadsheet (proprietary, ranked)
- Built scenarios in n8n / Make / Zapier with versioned exports
- Custom Python microservices for anything the no-code platforms can't do
- Monthly hours-saved dashboard
- Runbook + 30-day support window
Outcomes you can expect
- Typical client recovers 60–120 ops hours per month within 6 weeks
- Lead-routing latency drops from minutes to seconds
- Reporting cadence accelerates from weekly to real-time without adding headcount
Pricing in US
Engagement size: $5,000–$60,000 USD per engagement.
Hourly rate: $95–$180 USD per hour.
How we contract: We can be engaged via direct contract, an Upwork enterprise plan, or as a 1099 contractor through your US LLC. We carry international wire and Wise USD receiving.
Timezone & availability
Operates 9am–6pm in your timezone (EST, CST, MST, PST) with overlap from Pakistan Standard Time
Tech stack
- n8n (self-hosted preferred for data sovereignty)
- Make.com, Zapier, GoHighLevel
- Python (FastAPI, Celery, Playwright)
- OpenAI, Anthropic Claude, Google Gemini for the AI steps
- Supabase, Airtable, Notion, Google Sheets as the system of record
- Slack / WhatsApp / Discord notifications
Relevant case studies
- AI Walay - WhatsApp Business Campaign Manager — A multi-tenant SaaS platform enabling businesses to manage WhatsApp marketing campaigns, contacts, and customer conversations through the WhatsApp Business Cloud API.
- Massive Scale Google Sites Automation Factory — Engineered a robust automation system to generate, configure, and manage up to 1 million Google Sites at enterprise scale — handling API limits, parallelism, error recovery, and dynamic content generation.
- AI-Powered Marketing & Outreach Platform — Integrated AI calling agent, SMS campaigns, and custom GoHighLevel flows into a unified marketing automation system for lead gen, scheduling, and follow-ups.
- Developer Team Management & Tool Suite — Led a team of developers while building internal tools: analytics dashboards, ads automation, AI blog generation, and team reporting systems.
Questions American buyers ask about AI automation
- How do you contract with American clients?
- We can be engaged via direct contract, an Upwork enterprise plan, or as a 1099 contractor through your US LLC. We carry international wire and Wise USD receiving.
- What about regulatory compliance in the United States?
- We work to HIPAA (healthcare PHI), SOC 2 Type II readiness for SaaS clients, CCPA / state privacy regimes, ITAR / EAR considerations only when applicable. Where audited compliance certifications are required, we partner with the right specialist firm and ship code that meets the technical controls.
- What's the timezone overlap?
- Operates 9am–6pm in your timezone (EST, CST, MST, PST) with overlap from Pakistan Standard Time
- What's a typical AI automation engagement size in US?
- $5,000–$60,000 USD per engagement, structured against fixed milestones. Hourly engagements are billed at $95–$180 USD per hour.
- Do you only build in n8n, or also in Make/Zapier/GoHighLevel?
- All four. We pick by data-sovereignty (n8n self-hosted wins), connector availability (Zapier wins), or because the client already lives in that platform (GoHighLevel for marketing-agency clients). We tell you the tradeoffs before we build.
- What stops the automations from breaking silently?
- Every scenario has a watchdog: a separate workflow that checks 'did this run today, did it produce a non-zero output' and pings Slack on failure. We learned this the hard way.
- Can you handle 1M-record workflows?
- Yes — we built a system that generated and managed 1,000,000+ Google Sites with custom queuing, rate-limit handling, and parallelism. For that scale we typically build a custom Python service rather than relying on no-code.
- Will my team be able to maintain the automations after you leave?
- That's the point. We document every scenario, run a 60-minute training, and prefer no-code platforms specifically so your ops lead can edit them. Custom Python only when no-code cannot solve the problem.
- Do you do AI calling agents and SMS automations too?
- Yes — built a complete AI voice agent + SMS automation suite on Twilio + GoHighLevel for outbound and inbound calls.
- How do you measure ROI?
- Monthly hours-saved scorecard, plus an attached dollar value (your blended hourly cost × hours saved). Most clients see 5x payback inside 90 days.