Air Flow Automations — The AI-Curious Founder
You've built three half-working agent flows that demo beautifully and break the moment a customer touches them. Nine months of learning. Zero production agents serving your business. The window is closing — and you know it.
60 minutes · Free · Zero obligation · No sales script
If This Sounds Familiar
“A competitor-turned-friend says on a Tuesday Zoom: 'Yeah, we automated that whole department last quarter — saved 60 hours a week. You guys doing anything with agents yet?' You smile and say 'Oh yeah, we're exploring it.'”
After the call you stare at 14 Chrome tabs of half-read AI articles, a prompt window you don't know how to finish, and three tutorials bookmarked since February. You feel exactly like the guy who didn't take the iPhone seriously in 2008.
“Your repo has been on the same commit for 17 days. Your ops lead has stopped asking about the 'AI roadmap' because the answer is always 'next month.'”
You can feel the eye-rolls in standup. You've been telling your team 'we're going AI-first' for 8 months. They've stopped believing you. And you're the technical founder — this is supposed to be your zone.
“You hired an Upwork developer for $35/hr to build the agent stack. Three weeks later, nothing works in production.”
He built a glorified workflow zap, treated the AI model as a black box, and had no understanding of evals, retry logic, or error handling. You ended up rewriting half of it before quitting. $4K gone.
Sound Familiar?
The automation tools are great until you need real error handling — then you're writing JavaScript in a tiny textarea like an animal. Paid an Upwork developer $4k to basically build me a Zapier with extra steps. The consultancy gave me a deck. A DECK. I asked where the code was and they sent me a Loom. I have 200 prompts in Notion. None of them are in production.
Boutique consultancy founder, $1.2M ARR, AI-first operator
You are not bad at running your business. You are running it without the infrastructure it needs. That is a solvable problem. In 90 days.
What We Actually Build
We ship production-grade AI agent systems into your business: proper observability, eval suites, retry logic, idempotency, and human-in-the-loop gates. You own the repo on day one. We build to your existing stack, not ours.
How It Works
Three phases. Clear deliverables at every step. No frameworks, no workshops, no 200-page decks — just working systems that ship.
Revenue-First Analysis · Days 1–14
We audit every workflow you touch and identify the 2–3 bottlenecks costing you the most revenue per week. You get a clear map of every task sorted by 'machine handles it' versus 'you handle it.' By Day 14 you know exactly what gets built, why, and what it returns — before a single workflow ships.
Stealth Implementation · Days 15–75
We build your AI workflows in parallel to your existing operations — no downtime, no team revolt. Systems run in the background for 14 days before cutover so you see every output before your team ever touches it. Your job during this phase: keep running the business.
Freedom Activation · Days 76–90
The workflows are live. The agents are running. You receive full ownership documentation and a non-technical control dashboard — one screen showing what the system did, what it flagged, and what it needs from you. Most clients take their first real Friday off during this phase.
Real Questions
“I could build this myself in a weekend — I just haven't had time.”
You could. You haven't in nine months. The product isn't the code — it's the shipped, evaluated, observable, production-hardened system running your business by Friday. We sell execution velocity and calendar time, not knowledge. The question isn't capability — it's whether your business survives the 11 months it takes you to get back to it.
“I don't want to be locked into a low-code tool that hits a ceiling. I want real architecture.”
The orchestration layer sits on top of custom code modules — proper TypeScript, real error handling, exponential backoff, structured outputs, schema validation. You can audit every line. You can rip out any component. Nothing is magic. Nothing is black-box. If you want to take it and run it yourself after 90 days — the handoff includes the full codebase, the eval suite, and the runbooks.
“If your vendor disappears, I'm stranded. I need to own the repo, the prompts, the evals.”
Yes. Day one. Your GitHub org. Your cloud infrastructure. Your API keys. We're builders, not landlords. Every deployment includes documented architecture, eval suites that catch regressions, and a model-agnostic abstraction layer so you can swap AI providers in one config change. We document everything. If we disappeared tomorrow, your team ships Monday.
The Other Side
It's Day 17 of the 90-Day build. Jordan opens his project management tool and sees that overnight, his inbound triage agent qualified 23 leads, drafted 19 personalized replies in his voice, booked 4 demos directly into his calendar, and flagged 2 enterprise-shaped accounts to his Slack with a one-paragraph brief and the LinkedIn URLs. His ops lead pings him: 'The proposal agent shipped 6 SOWs yesterday, all approved by clients, $84k pipeline.' He pulls up the observability dashboard — tool call success rate 98.2%, p95 latency 3.1s, eval pass rate 94% on the regression suite that runs every deploy. The AI ops stack is humming. His team has stopped asking 'when is the AI thing coming' because it's already running their day. He opens X and posts a build-in-public thread — with screenshots, numbers, architecture diagrams. 47k views by morning. He's back. He's the tech guy again.
Start Your 90-Day Transformation
Bring us your three most complex workflows. We'll map the architecture in a 90-minute working session and show you exactly what ships in 14 days — not a roadmap. Working code.
60 minutes · Free · Zero obligation · No sales script