It helps. Whatever you built tells us which workflows matter and where the real complexity lives, which shortens everything that follows. If parts of it work, they stay. An audit maps what's left, not what you did wrong, and starting DIY was probably the correct first move regardless of where you ended up.
Comparison
DIY AI vs. done-for-you
Both paths get AI working inside a business. They just spend different currencies: one spends cash, the other spends your team's attention. This page lays out which currency you can actually afford, including the cases where doing it yourself is plainly the right answer.
The real question
This looks like a build-versus-buy decision. It's really a question about your scarcest resource. Every business weighing this has two accounts to draw from: the bank account and the owner's attention. DIY drains the second one, and because attention never shows up on a P&L, most people price it at zero. That mispricing is where bad decisions on this page start, in both directions.
So before you pick a side, price the problem itself. Take the workflow you want to automate, count the hours your team sinks into it each week, and multiply by what those hours actually cost you. If that number comes in under roughly $30,000 a year, stop reading the sales pitch, ours included: an engagement that starts at $5,000/month costs $60,000 a year, and no amount of quality makes that math work on a $25,000 problem. DIY is your answer, and we publish our working playbooks free in the skills library to help you do it. The rest of this page is for problems bigger than that.
Where the two paths actually differ
Skip the abstractions. These are the dimensions that decide how this goes for you.
| DIY | Done-for-you | |
|---|---|---|
| What it costs in cash | Tool subscriptions, usually a few hundred a month. The real cost is time, and it never appears on a P&L. | From $5,000/month. Visible, fixed, and easy to judge against the size of the problem it solves. |
| Whose time it consumes | Your most capable person's, often the owner's. The build happens in hours that were supposed to go to sales or the product. | A weekly check-in and decisions. The building, testing, and fixing happen on someone else's calendar. |
| Time to a system the team trusts | A weekend gets you a demo. Reliability is the hard part, and it arrives on whatever schedule your spare hours allow. | Weeks, because the integration patterns and failure handling are reused rather than invented from scratch. |
| What happens when it breaks | You are the on-call engineer. Breakage picks its own timing, and the fix competes with running the business. | Monitoring and fixes are part of the engagement. Breakage is our problem before it becomes yours. |
| Ceiling | High for standard workflows on off-the-shelf tools. Drops fast once a workflow crosses systems or needs judgment calls. | Custom agents and integrations, built for the workflow you actually have rather than the one a template assumed. |
| When it wins | The problem costs you under roughly $30K a year, or you have a capable internal owner with genuine slack. | Owner time is your scarcest resource and the problem is worth a clear multiple of the fee. |
Neither column is a verdict on its own. Price your problem first; the sections below show how.
When DIY is the right call
Two conditions, and either one alone is enough.
The problem is too small to outsource. Run your own numbers: hours per week the workflow eats, times the loaded cost of the people doing it, times fifty weeks. Under roughly $30,000 a year, hiring us is simply bad math. A $60,000-a-year engagement against a $25,000-a-year problem loses money even if we execute perfectly. This is not a gray area, and an honest agency should tell you so before you ask.
You have a capable internal owner. Not someone enthusiastic about AI. Someone who has already shipped a system other people depend on and kept it running for months afterward. If that person exists and has real slack in their schedule, DIY carries an advantage we can't fully match: they hold your company's context for free, and every hour they invest compounds inside your walls instead of ours.
If either condition describes you, start with our free skills library. It's the same workflows we install for clients, written up step by step: email triage, invoice extraction, meeting notes to CRM, and more. No email gate, no teaser version. Our incentive is straightforward: people whose problems outgrow DIY remember who helped them when the problem was small.
When done-for-you wins
When owner time is the scarcest thing in the building. In most companies between 10 and 200 people, the person capable of building automations is the same person responsible for revenue. Every DIY hour is billed against your growth at the most expensive rate in the company, and nobody writes that invoice, so nobody reads it. If your calendar is already the bottleneck of the business, the savings from DIY are an illusion. You pay in the one currency you can't buy back.
When you keep dying in the gap between demo and production. The most common company we meet here can build just fine. It arrives with three half-built automations: each one worked in a test, none survived contact with real data, and the person who built them has been pulled back into their actual job. DIY projects rarely fail at the building stage. They fail at the maintaining stage, quietly, about two months in.
When the workflow crosses systems. A single-tool automation is a fair DIY fight. A workflow that has to read email, check the CRM, apply a judgment rule, and write back to accounting is where off-the-shelf plumbing runs out and the work becomes engineering. That's the work we do all day, on systems we also run inside our own companies.
The math to run before you decide
Do this before talking to any vendor, including us.
- Pick the single most painful workflow. Count the weekly hours it consumes across everyone who touches it.
- Multiply by the loaded hourly cost of those people, then by fifty weeks. That's the annual price of the pain.
- Under roughly $30,000: DIY, starting from the skills library. A clear multiple of $60,000: done-for-you deserves a serious look. In between: the internal-owner question decides it. If you can't name the person who will still be maintaining the system in month six, you don't have an owner, you have a volunteer.
The ROI calculator walks through this same arithmetic with your numbers if you'd rather not build the spreadsheet.
Straight answers
We already started building this ourselves. Does that change anything?+
Why publish a free skills library that competes with your paid service?+
Because the alternative is taking money from companies whose problems are too small to justify our fee, and that's a bad trade for a one-shot fee against a reputation. The library also filters well in both directions: companies that thrive with it never needed us, and companies that outgrow it arrive knowing exactly where DIY stopped working.
How do we know if our internal owner is actually capable enough?+
Apply one test: have they already shipped something other people depend on daily, and maintained it for at least six months? Interest in AI is not the test, and neither is technical talent alone. Ownership is a track record of staying with a system after the interesting part is over. If nobody in the building passes that test, be honest about it before you commit to the DIY path.
Keep going
Free skills library
The DIY starting point: our working playbooks for email triage, invoice extraction, reporting, and more.
ROI calculator
Put a real number on your problem before you pick a side of this comparison.
AI agency vs. in-house hire
The next decision if you've outgrown DIY: buy the capability or hire it.
Want a straight answer for your situation?
The free AI opportunity audit prices your automation problem and tells you which side of the line you're on. If the honest answer is DIY plus the free library, that's exactly what we'll say.
We take on companies ready to invest $5,000+/month. Not there yet? Our free resources are genuinely free.