01 · The DIY build
"It works on Tuesday. It's dead by Friday."
You built it. So you're the only one who can fix it. Babysitting it became the job.
Your AI implementation team, without the hiring
You know what you want AI to automate. You can't find anyone to build it.
We're the team that builds it. 40+ businesses run our custom AI automations right now. Your first one live in your business in 10 days.
Built by engineers with twenty years of production software behind them.
5,000+
hours saved for clients
$250K+
labor costs avoided
40+
businesses running our automations
20+ yrs
combined engineering
Built inside real businesses
[ 01 ] · Why AI hasn't paid off in your business yet
It's not you. It's who built it.
Four things operators tell us every week. Most have two of them going at once.
02 · The freelancer
"They sent a demo, not a system."
Looked great on the call. Broke the first time real data hit it. Gone when it did.
03 · The agency
"Six weeks of discovery and a thing my team never touched."
Big invoice. Long slide deck. Nobody trained the people who had to use it.
04 · The hire
"The job's been open for three months."
Good candidates want $100K+. Meanwhile the backlog sits. And it's one person's skill set.
None of them were held to one standard: does it run in your real systems, without you, on a bad day?
[ 02 ] · Ten days in
Before the first build. After.
Today5 open · 0 running
Every request still ends on your desk
Waiting on you
Half of what you automated works some of the time
Waiting on you
Nobody on the team touches the tools
Waiting on you
You re-explain the business to every tool
Waiting on you
You feel a quarter behind every quarter
Waiting on you
After the first buildLive
The system does the job. You approve the exceptions.
Routed
One thing works all of the time. Then the next one.
Running
Your team was in the room when it was built. They run it.
Owner set
The system already knows your rules, your data, your customers
Synced
You can point at what changed, with a number
Measured
[ 03 ] · How we work
One team. Each problem gets its own fix.
Here's what happens to each of the four.
ProblemFixOutcome
01
The DIY build broke
Built to last, not to impress. One job per system. A check at every step. A human approval where money or a customer is involved. We fix bugs for two weeks after launch.
OutcomeThe thing you automated stays automated.
02
The freelancer sent a demo
We scope "done" in writing before we start. When X happens, the system does Y, writes to Z, routes exceptions to a person. Tested on your real data. You don't pay the second half until it matches.
OutcomeYou get a system, not a screen recording.
03
The agency built it and left
Your team is in the room. We build it into the tools they already open. We hand off with docs and a walkthrough. We stay two weeks.
OutcomeIt works on a Tuesday when you're not there.
04
The hire is taking forever
We start in days, not quarters. A lead who decides what's worth building, plus engineers who ship it. Keep hiring if you want. We'll ship the first workflow while you interview.
OutcomeThe backlog moves this month.
No discovery phase. No slide deck. You bring one problem, we tell you if it fits, we scope it in writing, we build it.
Book a call →[ 04 ] · Production-ready, in plain words
We don't call it finished until it survives a bad day.
Most AI projects die because "done" was never defined. Here's ours. Every build has to pass all four.
1
It runs end to end. Input comes in, the system does the work, the output goes where it should.
2
It's in your real systems. Your accounts, your data. Not a demo on our laptop.
3
It's deployed. Hosted properly, passwords handled properly, your team can use it today.
4
It's tested. The normal path, the ugly cases, and what happens when something's missing.
[ 05 ] · What we ship
What we ship.
Every one of these started as "someone on the team does this by hand."
01
Lead qualification and routing
A lead comes in. Scored, enriched, handed to the right person in your CRM.
02
Inbox agent
Sorts requests, drafts replies, sends the hard ones to a human.
03
Support triage
Reads the ticket, tags it, routes it, drafts the first response.
04
Proposal generation
Turns approved inputs into a proposal draft in your format.
05
Reporting that assembles itself
The report someone spends Friday afternoon building. Gone.
06
Document intake
A file arrives. Data pulled, checked, filed, and what's off gets flagged.
07
Internal knowledge assistant
Your SOPs, contracts, and docs, answerable in one place.
08
Client onboarding
From signed contract to kickoff without anyone chasing anyone.
09
CRM cleanup and enrichment
For a defined set of records. Not a migration.
10
Internal dashboards
Two or three systems, one honest view.
Don't see yours? Bring it. If it's one clear outcome in one to three systems, it probably fits.
[ 06 ] · Fit
Built for companies with real operations and real constraints.
This is for you if
You run a real business with real revenue and a team
You have a list of things that should be automated by now
You've tried AI (built it, bought it, or hired for it) and it didn't stick
Your engineers are busy on the product, or you don't have any
You'll put the people who do the work in the room
This is not for you if
Not a fitYou're pre-revenue or just getting started
You want a magic prompt that makes money by Friday
You want to train your own AI model
You need someone in the building 40 hours a week
Your team won't touch it and you're fine with that
Not sure? That's what the call is for. We'll tell you either way.
[ 07 ] · Put a number on the wait
You're paying for the AI engineer you haven't hired yet.
Pick your numbers. The total is yours, not ours.
Your inputs × 12 months. Recruiting cost estimated at 20% of salary. Not measured savings.
Book a call →Cost of the waitLive total
Salary you'd pay the hire
What the wait costs you this year
$78,375
$23,750 open role · $19,000 recruiting · $35,625 hand work
[ 08 ] · Engineers who've shipped at scale
Built by engineers who've shipped at scale.
Our two co-founders have 20+ years of combined experience building production software for companies like BCG, ExxonMobil, Universal Music Group, PlayVS, Teikametrics, and Science. We've shipped applications used at scale and helped startups build, raise, and grow. And we're on every project, in the scope, the build, and the review before anything goes live. Engineers join when the work calls for it. They work alongside us, never instead of us.
5,000+
hours saved for clients
$250K+
labor costs avoided
40+
businesses running our automations
20+ yrs
combined engineering
[ 09 ] · Next step
One call. A straight answer after.
01 · The call
You bring one problem
30 minutes. You describe what should be running and isn't. We ask about your systems and what you've tried. No pitch deck.
02 · Within two days
We tell you if it fits
If it fits in ten business days, you get a written scope: what "done" means, what we need access to, and what it costs. If it doesn't, we tell you that too, and what would.
03 · If you say yes
We start
Kickoff, access, and the clock starts. First working system in ten business days.
No SDRs. No drip sequence. The person you talk to is an engineer who'll be on your build.
Ready to get it built?
Tell us what you want AI to automate. One call, and you'll know if it fits in 10 days.
Book a call →Not ready for a call? Paste the job description you're hiring for. We'll show you the three things we'd build first. Free, no email. Try the Planner →