# Commercial Proposal: AI-Native Infrastructure Partner
## Who This Is For
- **Founders** with an idea and market understanding, but no technical team
- **Business owners** with broken IT processes and expensive manual work
- **Domain Experts** with access to capital or distribution, but no "hands"
- **Startups** tired of a $10k+/month burn rate on a development team
## What I Offer
Not "AI setup." Not "automation consulting." But an **infrastructure partnership** where I deploy an AI-native environment for your domain and launch a product or automation in weeks instead of months.
**You get:**
- A working product / automated processes
- An environment that your employees (even without an IT background) can use autonomously
- Savings of $5k–50k/month on team costs
- Iteration speed that is unattainable with classical development
## Proof: Two Case Studies
### Case 1: Crypto/EdTech Ecosystem from Scratch
**Who:** A person with zero development experience (my brother).
**What was built in 2 months:**
- Crypto wallet with blockchain integration
- Own cryptocurrency (smart contracts, tokenomics)
- Crypto exchange (liquidity, rates, orders)
- EdTech platform for jurisprudence
- Full integration of all modules
**What it would have been without an AI environment:**
- A team of 4–5 developers ($10,000/month × 6 months = $60,000+)
- Onboarding, technical debt, management
- Risk of project failure
**What actually happened:**
- 2 months of work by one person + my setup in 5 days
- Savings: **$60,000+** and 4 months of time
- Full autonomy by week 3 (consultations ~1 hour per week)
### Case 2: Unreal Engine 5 — Reverse Engineering and Migration
**Task:** Migrate the Content Browser (10+ Editor modules, 100+ cpp files) from Editor to Runtime for use in a Shipping build.
**Complexity:** Extreme. Usually requires a team of Principal Engineers for 4–6 months.
**Result:** AI migrated it in 30+ hours. A human only monitored the process.
**Additionally:** runtime assets, MIDI assets, runtime meshes, runtime TTF/OTF fonts, a native Blueprint-to-C++ converter — all completed in 3 months instead of 8–12 months, at a budget 10–13 times smaller.
## ROI Math
### For Founders (Product Launch)
| Parameter | Classic | With Me |
|---|---|---|
| Team | 3–5 people | 0 (only you as PO) |
| Burn rate | $10,000+/month | $500–2,000 (infra + API) |
| Time to MVP | 3–6 months | 2–4 weeks |
| Cost of mistakes | Months of rework | Hours of iteration |
### For Business Owners (Process Automation)
| Parameter | Before | After |
|---|---|---|
| Time on routine tasks | Hours–days | Minutes |
| Rework percentage | 30–40% | 5–10% |
| Tasks completed per month | N | 3–5N |
| Department economics | 10 people | 3 people + AI environment |
## Engagement Models
### Option A: Technical Co-founder (for Founders)
- **Entry:** $5,000 fixed for AI environment setup (2–5 days of intensive work)
- **Equity:** 10–25% (discussed individually)
- **Ongoing:** $X/month for monitoring, updates, environment evolution
- **Role:** I am the technical partner; you are the product owner and domain expert
### Option B: Gain Sharing (for Business Owners)
- **Rate:** $100–125/hour
- **Bonus:** 100% of saved FTE cost for 3 months (formula: `(Hours Before – Hours After) × Number of Operations / 160`)
- **Pilot:** Fixed $3,000–5,000 for one agent, one department, 2 weeks. If ROI is not confirmed — we part ways with no obligations.
- **Metric:** "Tasks/Hour" with baseline measurement before and after. Measured jointly, data from your systems (CRM, task manager, time tracker).
### Option C: Environment Licensing
For those who want to get the infrastructure and operate it independently. One-time fee + subscription for updates.
## What You Get in the First 5 Days
1. **Day 1–2:** Deep dive into your processes. Interviews with executors (no managers). Workflow mapping.
2. **Day 3–4:** AI environment setup: skills, MCP servers, agents.md, memory, feedback loop.
3. **Day 5:** First automated process in production. Training your employees.
4. **Week 2–4:** Your employees work autonomously. My consultations ~1 hour per week.
5. **Week 5+:** Full autonomy. I am only on support.
## Who I Am Not a Fit For
- **The very greedy and micro-businesses.** If the phrase "$125/hour + bonus from savings" sounds like insanity — we are not a match.
- **Those who want to "just try AI."** I do not teach prompt engineering. I build systems.
- **Those who haggle over every hour.** You are not buying hours. You are buying 10+ years of systems engineering, packaged into results in 2–5 days.
- **Those who expect a magic button.** A human is needed for task setting and verification. This is not full autonomy — it is augmentation.
## Why This Is Worth the Money
When a client asks "why so expensive for a couple of hours of work," I answer:
> You are not paying for my time. You are paying for the system to work in production, not fall apart after a week. For it to scale. For your data to be secure. For you not to come back to me in a month asking "why did everything break." This is not worth the hours — it is worth the experience that allows me to foresee and prevent problems before they arise.
This is the Picasso story: a sketch in 30 seconds costs $10,000 because it's 30 seconds and 30 years of experience.
## Next Step
1. **30-minute call** — we discuss your task, I assess whether we fit the model.
2. **Pilot** (if we're a fit) — 2 weeks, fixed price, measurable results.
3. **Scaling** — if the pilot confirmed ROI, we expand across the company / launch the product.
If you are not ready for Gain Sharing or an infrastructure investment — we are not a match. If you are — write to me. The right people understand the difference between "an expense line item" and "an investment with 500% ROI."
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**P.S.** If you've read this far and are thinking "maybe we can find someone cheaper" — don't waste your time or mine. The market is flooded with "AI consultants" for $20/hour who took a two-week prompt engineering course. They will build you a chatbot that falls apart in a month. I build systems that work in production for years. These are different products with different price tags.