One of the finest things you can have at your event is a carving station. Revered. Respected. Sacred, even.
The line wraps around the room. You wait. You wait some more. By the time you get up there, the meat’s dry, the slice is small, and they’re “saving some for later.” But hey, that’s just how it works. That’s a carving station. You accept it. You’ve always accepted it.
Until one day you walk into an event and the meat is already sliced. Sitting there. Waiting for you. Same cut. Same quality. You walk up, take the piece you want, and move on with your night.
And you stop. And you stare. Because the whole time, you assumed it had to be the other way. The line. The wait. The dry slice. You assumed that was the cost of doing carving station.
It wasn’t. It never was. You just never saw it done differently.
Welcome to AI.
The Gap Nobody Talks About
Only 39% of small businesses have meaningfully integrated AI into their operations. Enterprises? 87%. (McKinsey, 2025)
That gap isn’t about technology. It’s not about budget. It’s not about being in the right industry or having the right team.
It’s about assumption.
Most small business owners are still standing in line because they don’t know there’s another way to get the meat. They’ve built their processes around the hard way — because the hard way was the only way they ever saw. Manual data entry because that’s how it’s always been done. Repetitive client intake because nobody ever automated it. Hours spent on tasks that a well-configured AI system could handle in minutes.
Not because the technology doesn’t exist. Because nobody ever walked them through the door.
What AI Actually Looks Like in a Small Business
Not robots. Not replacing people. Not a $500,000 enterprise software implementation that takes 18 months and a dedicated IT team.
Just the realization that the thing you’ve been doing the hard way doesn’t have to be done the hard way.
Here’s what that looks like in practice:
- A law firm that used to spend 4 hours preparing client intake summaries now does it in 12 minutes.
- A retail brand that manually tagged and categorized 2,000 product SKUs every season now runs it overnight.
- A professional services firm that chased invoices with personal emails now has an automated sequence that recovers 40% more outstanding payments without anyone touching it.
- A founder who spent Sunday nights writing the same weekly status update for five different clients now generates all five in 20 minutes, personalized for each one.
None of these are science fiction. None of them required a CTO. They required someone to look at the process, understand what was actually happening step by step, and find where a well-configured AI tool could take the weight.
That’s what we do.
How Splash Approaches AI Implementation
We don’t come in with a preferred tool and try to fit your business into it. We come in the way we approach every engagement — by understanding the problem before we recommend a solution.
That means we spend real time in your business. We map your processes. We find the lines. The manual steps, the repetitive tasks, the places where something breaks and someone has to fix it by hand every single time. The work that keeps getting pushed to Sunday because there’s no time during the week.
Then we build solutions that fit how you actually work — not how a software vendor’s demo assumed you work.
We’re not an IT consultancy. We’re not a software reseller. We’re a creative and strategic studio that understands both the human side of business operations and the technical side of what AI can actually do right now. That combination is rarer than it should be, and it’s why our implementations actually get used.
The Businesses This Is Built For
You might be standing in a line that doesn’t need to exist if:
- You or someone on your team is doing manual data entry that feels like it could be automated — but nobody’s ever looked at it seriously
- Your client onboarding process involves copying information from one place to another by hand
- You’re producing the same type of content, report, or communication repeatedly with minor variations each time
- Your team spends meaningful time on intake, triage, or routing work that follows predictable patterns
- You’ve looked at AI tools and felt overwhelmed — not sure what’s real, what’s hype, or where to even start
- You don’t have a broken process — you don’t have a process at all, and everything runs on institutional memory and whoever happens to be available
The last one is more common than people admit. A lot of small businesses aren’t inefficient — they’re just undocumented. AI implementation starts with process clarity, and sometimes the most valuable thing we do is help a business understand what it’s actually doing before we automate any of it.
What This Is Not
It’s not a subscription to a tool. It’s not a workshop where we explain what ChatGPT is and send you home with a PDF. It’s not replacing your team or changing what your business does.
It’s a structured engagement where we come into your business, learn how it works, identify where AI creates the most leverage, build and configure the solutions, and make sure your team can actually use them. Then we stay close enough to iterate as things evolve.
The goal is simple: less time on the hard way. More time on the work that actually requires a human.
Frequently Asked Questions
Do I need to be technical to work with you on this?
No. We handle the technical side entirely. What we need from you is access to your processes, honesty about where things break, and a willingness to change how something is done if there’s a better way. The less technical you are, the more value we usually add — because we’re translating between what AI can do and what your business actually needs.
What kinds of AI tools do you work with?
We’re tool-agnostic. We work with the best available tools for the specific problem — which in 2026 includes large language models (GPT-4, Claude), automation platforms (Zapier, Make), AI-native workflow tools, and custom integrations where off-the-shelf solutions don’t fit. We don’t have a vendor relationship that influences what we recommend.
How long does an AI implementation engagement take?
It depends on scope. A focused engagement around one or two specific processes can move in 3–4 weeks. A broader operational audit and implementation across multiple workflows typically runs 6–10 weeks. We scope it specifically to what you need before any work starts.
Is this just for big companies?
The opposite, actually. Enterprise companies have IT departments and software budgets for this. Small and mid-size businesses rarely do — which is exactly why the gap exists. This service is built specifically for businesses that don’t have an internal AI team and don’t want to become one.
What if we don’t know what we need?
That’s the most common starting point. We begin with a process audit — no assumptions, no predetermined solutions. We look at how your business actually operates and identify where the lines are. Most businesses are surprised by what turns up. The most impactful things are rarely the most obvious ones.
If something in your business feels like it should be easier than it is, it probably should be. Let’s talk about it.
