AI doesn’t “just do it.”
Not without clean data, readable context, and systems that actually talk to each other.
This is why most AI projects fail. Not ours.
We make the business readable first — then build the systems that run on it.
Every business we walk into has the same story. The books are a quarter behind. The CRM has pipelines nobody uses. Customer data lives in someone’s inbox. Documentation is a mess — or doesn’t exist. And someone just bought an AI tool expecting it to sort itself out.
No decks. No discovery questionnaires. One conversation about what you need running.
You don't need more tools. You need the ones you have to work.
Most businesses we meet aren't missing software. They're drowning in it — they have a CRM, an invoicing system, a project tracker, and half a dozen other subscriptions. The problem isn't what they bought. It's that nobody set it up to match how they actually work.
Hire a development firm
They build exactly what you ask for. But if you're asking for the wrong thing, you get a polished version of the wrong thing. One client was about to buy a new invoicing system. The feature they needed already existed — it was a settings change.
Hire a large consultancy
You meet the senior team at the pitch. Then a junior team shows up to do the work. Six months later you have a strategy document and a bill, but nothing running.
Figure it out in-house
Your team knows the business better than anyone. But they're also running it. The CRM cleanup keeps getting pushed to next quarter because there's always something more urgent.
What if someone looked at what you already have, told you what's working, what's misconfigured, and what's actually missing — before building anything? That's where we start.
One setup process. Every company in your portfolio.
You know what happens after the deal closes: every company has its own mess. Different accounting software, different CRMs, customer data in spreadsheets, invoicing held together with workarounds. You need a team that can walk in and get a business running cleanly — and do it the same way the next time.
Books cleaned up in weeks. Scheduling that works. Customer data in one place instead of twelve.
The same setup process for every acquisition — we've done it before, and it works the same way each time.
You're not paying for us to figure it out. You're getting a process we've already run.
We look at what you have first. Then we fix or build what's needed.
Four areas — and most projects touch more than one. You don't need to know which category you fall into. Tell us what's not working.
Before and after. Real businesses, real outcomes.
These aren't hypotheticals. Each one is a business we worked with, a problem we solved, and a result we measured.
Before
Two and a half years of expenses with no clear picture of where money was going. Hours every month reconciling statements. No visibility into cash flow or forecasting.
After
What used to take hours now runs in minutes. Cut $500+/month in stale recurring expenses — and for the first time, they can see cash flow patterns and forecast with confidence.
Before
After every meeting, someone manually wrote up compliance documents, formatted them, filed them, and emailed the right people. No audit trail. No way to prove the process was followed.
After
Meeting recording goes in, finished documents come out — filed, sent, and logged automatically. Every step is tracked. When an auditor asks, the receipts are already there.
Before
Every transaction sorted by hand. Bank statements checked manually. Tax tracking in spreadsheets. Slow and easy to get wrong.
After
The system handles the sorting, matching, and tax tracking automatically. It shows you what it recommends — nothing changes in your books until you approve it.
Before
Team bought AI tools but couldn't agree on how to use them. Everyone experimenting on their own. Results were inconsistent.
After
After 10 weeks, every team member uses AI in their actual work — and everything the team produces sounds like the company, not like a robot.
Before
Sales tracked in email threads. Invoicing required steps everyone forgot. They were shopping for a new system to fix it.
After
Set up their existing system with a clear process from quote to payment. Automated invoicing. The "bug" they wanted to fix? A setting that was turned off.
Before
Attendance in spreadsheets. Materials scattered across shared drives. No way to see what's happening without asking five people.
After
One system they open every day — attendance, materials, feedback, and a clear view across every program. No replacement needed.
How We Work
We're a two-person team, and we move fast. We use the same AI tools we build with — so when we estimate a project, we're not guessing.
How we scale
We use the same AI tools we build for clients — which means two people can move through work that would normally require a larger team. You get senior attention on every detail, without the overhead of a big consultancy. Nothing gets handed off to someone you haven't met.
You work directly with us. No junior staff, no account managers, no handoffs to someone you haven't met.
We price based on results, not hours. We'll tell you what it costs to get the outcome you need — not how many meetings it takes to get there.
We build in stages — the first version ships fast, then we learn from it. You get something working quickly, and we improve from there. That's how you find out what "right" actually looks like.
Everything we build is meant to keep working after the engagement ends. The CRM setup works the same way whether it's your company or the next one in a portfolio. The bookkeeping system has a setup process we've run before. You're not our first — you're getting a process we've already proven.
Not ready to talk? See how we think first.
Notes from someone who builds these systems for a living — what's working in AI, what isn't, and what the gap looks like between the pitch and the reality. No hype. Published on Substack.
Read on SubstackCommon Questions
We build it. 10+ production applications shipped and running — attendance tracking systems, client operating systems, landing pages, knowledge bases, compliance automation. We write the code, deploy it, and maintain it.
Both. Our client range spans $150K enterprise training contracts to $4.8K practice setup engagements. What changes is scope and complexity, not quality or attention.
We think about the problem, not just the ticket. A dev shop builds what you spec. We figure out what you actually need — which sometimes means configuring the tool you already own instead of building something new. A client's invoicing "bug" turned out to be a configuration issue — the feature already existed. That diagnosis saved them from buying a solution to a problem that didn't exist.
No. AI capability fails because of infrastructure gaps, not technology gaps. The tools work. What's usually missing is learning infrastructure — team fluency, shared context, feedback loops, operational integration. We build that.
Probably. Tell us what it is. We've shipped compliance automation, landing pages, and internal tools in weeks — not because we cut corners, but because our tooling is fast. We'll give you a timeline after we understand the scope.
Find out what your systems can already do.
Most of the time, the first thing we tell people is what they don't need to buy. That conversation alone is worth 30 minutes. If there's real work to do together, we'll scope it to results — not hours.
Or email us at lisa@makably.com — we respond within a business day.