Questions we hear most

We help you build AI into your business. That takes three forms: AI enablement (workflows, automations, and tools that change how work gets done), software and product development (internal tools, platforms, MVPs, and digital products), and team augmentation (vetted engineers who join your team).

Growing businesses that run on people and process: home services, real estate networks, sports and media, consumer brands, and professional services. Our clients range from owner-led companies to teams inside Nike. The common thread is repetitive knowledge work. If your team spends hours each week on intake, follow-up, quoting, reporting, or moving data between systems, we can help.

No. Our job is to pull the knowledge out of your team's heads and turn it into workflows and software. You bring how the business actually runs. We bring the build. You'll never get a wall of jargon from us. Every plan is written so the person signing off on it understands exactly what they're getting.

Launch Labs is based in Seattle, WA, with a global engineering team. We work with clients across US time zones and overlap with your working hours for calls, reviews, and standups.

Three steps, no ambiguity: Tell us your vision (a direct conversation about your goals, constraints, and timeline); we shape a plan together (a clear scope, a clear engagement model, and a clear number); we build, you grow (the team mobilizes within days and is held accountable to outcomes, not hours). The first call is 30 minutes. Book it directly at calendar.app.google/DHNMbwnaZo1SaXpL6 or reach out through the contact form.

It depends on scope, so we won't quote a number before we understand the problem. What we can promise is how pricing works: most engagements start with a short, fixed-price discovery phase, then move to a monthly build cadence sized to the plan we agree on. You'll see the full number before anything starts, and it won't change unless the scope does. No surprise invoices, no open-ended retainers.

Days, not months. Once the plan is signed, the team mobilizes within days. Discovery usually produces something you can react to in the first few weeks, and we ship in short cycles from there so you see progress continuously rather than at the end.

You do. The code, the workflows, the data, the accounts. Everything we build runs in systems you control, and we train your team to operate and change it. If you ever decide to take it in-house or bring in another partner, nothing is locked up with us.

Even better. We work alongside in-house teams all the time, either by adding engineers to your team through team augmentation or by taking a defined project off their plate so they can stay focused. We'll fit your tools, your repo, and your process rather than asking you to adopt ours.

A structured look at where your business is leaving time and money on the table. We score opportunities area by area, estimate the lift and value of each, and map every one to a solution path: an agentic workflow, a SaaS solution that already exists, or a custom build. You get an opportunity roadmap you can act on, whether or not you ever work with us.

Two calls. The first is a 30-minute discovery call to understand your business and decide whether the audit is worth your time. The second is a longer deep-dive session with the people who actually do the work, where we walk through how things get done today. After that, we go build the report and come back to walk you through it.

The opportunity map is just one section. The full report covers: what we found, area by area; what the status quo is costing you, with a headline opportunity cost number; market comparables (what similar businesses have already automated); quick wins you can act on immediately; what to do about each gap, and what before and after looks like; and the right solution path for each opportunity, with estimated lift and value.

It's really free, and there's no obligation. We do it because it's the best way to show you how we think before you spend a dollar. Some audits lead to a build engagement with us. Others don't, and you still leave with a clear roadmap. Either way is a fine outcome.

Nothing formal. Bring the people who know how the work really gets done (often not the org chart owners) and a rough list of the tools your team uses. We'll do the rest. The more candid you are about what's slow, manual, or annoying, the better the roadmap.

AI that does the work, not just answers questions about it. An agentic workflow reads the incoming request, pulls what it needs from your systems, drafts the response or the record, updates the right tools, and flags anything unusual for a human. People stay on the decisions that need judgment. The repetitive steps in between run on their own. Typical examples: lead intake and qualification, quote and proposal drafting, customer follow-up, reporting, and syncing data between systems that don't talk to each other.

Whatever fits the job. We build on the leading models (Claude, OpenAI, and others) and we're happy to recommend proven software when a good solution already exists rather than build something new. We're not tied to a single vendor, so the recommendation is about your outcome, not our margin.

Your data stays in systems you control. We use business and enterprise tiers of AI providers that don't train on your data, scope access to the minimum each workflow needs, and document every integration so your team can see exactly what touches what. If you operate under specific compliance requirements, tell us on the first call and we'll design around them from the start.

The goal is to remove the repetitive work, not the people. Most of our clients are trying to grow without adding headcount at the same pace, or to free up experienced staff for the parts of the job that need judgment and relationships. We design workflows with your team, so they become the operators, not the casualties.

Internal tools, customer-facing platforms, MVPs, and digital products. Recent work includes CRM and operations platforms, customer-facing product configurators, executive dashboards, and AI tooling inside design workflows. We've also built products that were later acquired by NBC Sports and Nevco Sports.

AI-assisted development lets us move from idea to working prototype in days rather than weeks, which means you see and react to real software early. Senior engineers still own architecture, review every change, and are responsible for security and scalability. AI makes the team faster. It doesn't replace the judgment.

Yes. You can keep us on for ongoing support and improvements, or we hand off with documentation and training so your team can run it independently. Either way, you're never stuck. The software is yours and built so someone other than us can maintain it.

We place vetted engineers directly on your team. They work in your tools, join your standups, and take full ownership of their work as if they were full-time hires. You get senior talent without the recruiting cycle, and you can scale the team up or down as your roadmap changes.

Usually within days of agreeing on the role. We'll match on stack and working style first, introduce you to the engineer, and only proceed if it's a fit on both sides.

Tell us and we'll fix it. Sometimes that means a different engineer, sometimes it means adjusting the role. There's no long lock-in, so you're never paying for someone who isn't working out.