Automation that pays for itself. AI where it fits, not where it does not.
The money is usually lost upstream, in what gets chosen rather than in what gets built. The inefficiency is in the handoffs, the reconciliations, and the report nobody trusts. We find the work worth fixing, then we build it: workflow automation, reporting, and the integrations between your systems.
Projects that cross more than one system, have to hold up under audit, or keep stalling in a handoff between departments. Too big for an hourly freelancer, too small for a Big Four engagement.
Let's TalkNot ready to talk? Run our free assessment to see if your project is worth automating.
Where AI helps, and where it gets you in trouble.
Most companies I talk to are getting pushed in two directions at once: a board that wants an AI answer, and a real worry about what happens when it gets something wrong in front of a customer.
I have been on the inside of that problem in payroll, where the software being wrong means the error is in someone's paycheck, and nobody involved treats it as a rounding error. The hard part was never the technology. It was knowing which decisions a model should touch, which ones need a human signature, and how to design the handoff so the thing still works on a Tuesday six months later.
We build people-plus-agents systems: automation handles the reconciliation and the coordination, your team keeps final approval where it matters. And when a project does not need AI at all, we will tell you. A well-designed integration is often the better answer and it is cheaper to run.
Most of what you will read about AI right now is written by people who have been doing it for eighteen months. The main thing a bit longer taught me is how much of it does not work yet. That is the part we will be straight with you about.
Behind this is a career building software, in startups and then inside a global bank. Who you will be working with
Where operations usually break
Your team is doing work a system should be doing
Lead intake, invoicing, reconciliation, the handoffs between one department and the next. We build the automation end to end, so the process stops depending on someone remembering to run it.
You cannot get a straight answer out of your own data
The number lives in four systems and none of them agree. We build the reporting layer that reconciles them, so the figure you take into a leadership meeting is one you can defend.
Your systems do not talk, so people are the integration
CRM, ERP, payment systems, and the spreadsheet quietly holding it all together. We build the integrations so your people stop being the transfer mechanism between them.
How It Works
You will see working software early, while there is still time to change direction. Nothing about this engagement asks you to wait six months to find out whether it worked.
Walk the Process
Tell us where you want to go. We walk the operation with you, size the opportunity, and pressure-test the ROI before anyone writes code.
Build & Integrate
We build the automation, wire it into your existing tools, and test it against real scenarios.
Launch & Optimize
Go live, then measure against the numbers we set in step one. If it did not move what it was supposed to move, you will be the first to know, not the last.
The honest-answer guarantee, a term of every engagement. Before anyone writes code we work out whether the numbers hold, and you get a straight answer either way, including "do not build this." If they do not hold you get the analysis showing why, and you are free to walk away or take it to someone else.
Bring us the process you keep working around
A discovery call is a straight conversation about whether the thing is worth fixing, what fixing it would take, and whether we are the right fit for it.
Book a Free Discovery CallRun the free assessment first if you would rather see how we think, or send us a message.
Helpful Reading
We publish how we evaluate this work, including the framework we score every candidate project against:
Frequently Asked Questions
What does GO Tech Labs do?
GO Tech Labs is an automation and custom software company. I'm Tom Gaffney, the founder. I spent nine years building technology inside a global bank, and the last two and a half of those leading a GenAI product from prototype to enterprise production. We build workflow automation, data dashboards, and the integrations that connect your systems. We are US-based, headquartered in Tampa Bay, and we use AI where it makes sense and skip it where it does not.
Am I hiring a freelancer?
No, and the difference is not headcount. You hire a freelancer when you already know what to build. Most of what we do is the work before that: figuring out what is actually worth building and pressure-testing whether it moves a number that matters. We sell fixed-scope outcomes rather than hours, which means the risk of a project running long is ours, not yours.
Who will actually be doing the work?
At a large firm, the person who sells you the work is not the person who does it. Here they are the same person. You will not be handed off to someone you have never met.
How do you know a project is worth doing?
The work starts with the diagnosis rather than the build. We map the operation, score each candidate against the Four Lenses, and pressure-test what fixing it is worth over three years. You get a straight answer either way, including "do not build this." If the numbers do not work you get the analysis showing why, and you are free to walk away or take it to someone else. Our free "Is This Worth Automating?" tool is a narrower version of the same answer in about ten minutes.
What does a typical engagement cost?
Every project is scoped and priced individually. What drives the number is how many systems are involved, how clean the data is, and how much has to hold up under audit or compliance. We will not quote before we understand the problem, because a number given that early is a guess. Once we do understand it you get a fixed price you can take to your budget.
How long does an automation project take?
That depends on how many systems are involved, how clean the data is, and what has to hold up under review, so we scope it against the real operation rather than guessing up front. What holds in every engagement is that you see working software early, while there is still time to change direction, rather than at the end. Changes are cheapest at that point, and because the scope is fixed, a change is a conversation about tradeoffs rather than something that shows up later.
What happens if we stop working together?
Everything we build is yours and it is built to be portable. The code, credentials, and documentation live in your accounts from day one, on mainstream tools your own developers would recognize. We work inside your infrastructure, with least-privilege access through named accounts rather than shared logins. Where we host or operate something for you, that is a service you choose to keep buying, not a dependency you are stuck with. When an engagement ends, that access is revoked and you keep the running system, the source, and the documentation to hand to whoever comes next. You can take it in house or to another vendor whenever you want.
How does this work with our existing IT team?
We build in your stack, on mainstream tools your developers already know, and we work with your team rather than around them. Nobody has to learn a proprietary framework to keep it running. At handoff your team gets the source, the documentation, and the access, so they can extend it themselves or keep us on to do it.
What kinds of work can you automate?
It is less about which tools you run than how tangled the process is. The work that pays for itself usually crosses more than one system, carries an audit or compliance angle, or stalls in a handoff between departments. If a process touches one tool and one person, an off-the-shelf automation will usually do it, and we will tell you that rather than quote you for it.