Questions, answered.

Small and mid-sized businesses (typically 5–200 employees) that have outgrown spreadsheets and manual processes but aren't big enough to justify a full-time engineering team. Our sweet spot is owners and operators who know exactly which workflow is bleeding time and money — and want it fixed in weeks, not quarters.

Take our free 5-minute AI Readiness Assessment for a personalized starting-point report, or book a discovery call. The 30-minute call is structured to surface your highest-ROI candidate — typically a workflow that's repetitive, rule-based, eats more than 5 hours per week, and has clear inputs and outputs. You'll leave the call with a recommendation whether you hire us or not.

30 minutes, free, no obligation. We'll walk through your current workflows, identify the highest-ROI automation candidate, and discuss what a fixed-price engagement would look like. You leave with at least one actionable insight regardless of whether you hire us. Book at calendly.com/threemoonsnetwork/30min.

Our work is industry-agnostic — the underlying patterns (data movement, document processing, decision automation, system integration) repeat across verticals. Recent and current work spans accounting, professional services, e-commerce, retail, and B2B SaaS. We avoid heavily regulated workloads (clinical healthcare, brokerage trading) where compliance overhead dwarfs the engineering work.

Three fixed-price tiers: Automation Sprints run $3,000–$8,000 over 1–3 weeks for a single workflow. Custom Tool Development runs $8,000–$20,000 over 2–6 weeks for full applications. Ongoing Partnerships are $2,000–$5,000/month for retained capacity. Every engagement is fixed-price with scope locked up front. No hourly billing surprises.

Automation Sprints deploy to production within 1–3 weeks of kickoff. Custom Tool projects typically ship a working v1 within 2–4 weeks and finish within 6. The discovery call itself is 30 minutes and you'll leave with at least one concrete automation idea, whether you hire us or not.

A 1–3 week, fixed-price engagement targeting one specific high-pain workflow. Examples: replacing a weekly manual report with an automated dashboard, building an email triage system that drafts replies for review, or wiring two systems together that currently require copy-paste. Sprint output is production-deployed code with monitoring, documentation, and a 30-day warranty.

We guarantee the deliverable defined in the proposal — production-deployed, monitored, and documented. We do not guarantee specific business outcomes (revenue, time saved) because those depend on adoption and process changes inside your team that we don't control. What we will do: define success metrics with you up front, instrument them, and walk away rather than oversell something we don't believe will pay back.

Data handling is something we work through with each client during scoping, since the right approach depends on your industry, the data involved, and your existing agreements with cloud and AI vendors. The general pattern is that data stays in infrastructure you control, vendor selection is part of the conversation up front, and configurations are chosen with your sensitivity requirements in mind. We're happy to walk through specifics on a discovery call.

Reliability is a first-class concern in how we approach AI systems — that's the whole reason an SRE-led firm exists in this space. Our general design philosophy is to plan for failure paths up front rather than assume them away: hallucinations, rate limits, and upstream outages are real and need somewhere to go. We aim to design systems so problems surface to a human rather than disappear silently. The specifics of monitoring, alerting, and operational tooling depend on engagement scope and are agreed in the proposal.

Usually, yes. We've worked with the kinds of systems most SMBs run on — accounting, CRM, productivity suites, payments, e-commerce, and a long tail of niche tools. Systems with an API are typically straightforward to integrate; CSV export is often workable too. Compatibility is something we confirm during discovery for each engagement, and we'd rather flag a feasibility issue up front than burn a sprint on it.

You own it. Code lives in a GitHub repo under your organization. Infrastructure runs in your AWS account, defined in Terraform you also own. We hand off credentials, runbooks, and a 30-day warranty on the delivered work. If you decide to hire your own engineer next quarter or move to a different vendor, nothing about the engagement prevents it.

No. Most of our clients are owners, operations leads, or finance leads — not engineers. We translate between your business problem and the technical solution. You bring deep knowledge of how your business actually works; we bring the engineering. Documentation, runbooks, and training are part of every engagement.

SaaS tools are great when your problem matches their product. They're frustrating when 80% of the value lives in the 20% they don't cover — which is most SMB workflows. We build for your specific stack and process, not the average customer's. That said: if an existing SaaS solves your problem, we'll tell you to buy it instead of building. Our incentive is your outcome, not maximizing scope.

A full-time senior engineer in the US costs $180,000–$250,000 fully loaded and takes 3–6 months to hire. Most SMBs don't have a year of engineering work queued up to justify that. With us, you pay for the project, get production code in weeks, and scale engagement up or down as needs change. When you do hire full-time later, our documented systems make onboarding trivial.

For ad-hoc tasks, yes — you absolutely should. Chat interfaces are great for one-off research, drafting, and exploration. They're a poor fit for repeatable production workflows that need to run unattended, integrate with your other systems, log their actions, fail predictably, and scale to thousands of runs per month. That's where engineered systems earn their keep.