Hey Denver — if you're looking at this page, chances are you've already clicked through a few 'AI Solutions' links that all sound kinda the same. Big promises, vague outcomes, a whole lot of buzzwords. I get it. I'm A.I. Consulting LLC, and I'm a solo shop right here in Florida, but I help businesses all over, including many in Colorado, figure out what machine learning and data science can actually do for them. No fancy sales pitches, just a direct conversation about real problems and practical tech. What's different about me? Well, for starters, it's just me. So, no layers of account managers, no 'strategic partners,' just a direct line to the person actually building things. I've been doing this a while, and I've learned that most businesses in Denver don't need a moonshot AI project; they need something that solves a specific pain point, saves some time, or makes them a bit more money, and they need it without breaking the bank or taking a year to deliver. That's what I focus on. I'm not gonna sell you on a 'future-proof' platform; I'm gonna talk about your data, your spreadsheets, and what's actually possible to build with them right now. Okay so, let's get into it.
## What I actually do for Denver clients
When a business in Denver comes to me, they usually have some kind of data sitting around and a hunch that it could be doing more. Maybe it's customer behavior data they want to use to predict churn, or sales figures they need to forecast better, or even just a messy collection of text documents they wish they could categorize automatically. I come in and help them turn that raw data into something useful. This usually means building a machine learning model, setting up a clear data pipeline, or creating an automation that uses some data-driven logic.
Think of it this way: I might build a predictive model that helps you identify which customers are most likely to buy your new product, so your sales team in Denver can focus their efforts. Or, I could set up a system to automatically classify incoming support tickets, freeing up your customer service reps. My focus is on delivering a concrete, working piece of technology that integrates into your existing operations and provides a measurable benefit, not just a fancy report.
## How a Denver engagement usually goes
I try to keep things pretty straightforward. Here's the usual flow for my Denver clients:
1. **Initial Chat & Discovery (Week 1):** We'll hop on a call, you tell me about your business, your data, and what problems you're trying to solve. I'll ask a lot of questions. I'll probably ask for some anonymized sample data to get a feel for what we're working with. By the end of this, I should have a good grasp of the scope and can put together a proposal.
2. **Project Definition & Planning (Week 2-3):** Once we agree on a direction, I'll dive a bit deeper into your data (securely, of course) and define the exact deliverables. We'll outline what success looks like, what data sources are needed, and what the timeline will be. I'll break down the project into smaller, manageable chunks.
3. **Development & Iteration (Weeks 4-12, usually):** This is where I build the model or system. I'll work mostly independently, but we'll have regular check-ins – usually weekly – to show you progress, get your feedback, and make sure we're still on track. It's an iterative process, so don't expect a big reveal at the very end; you'll see it evolve.
4. **Deployment & Handoff (Week 13+):** Once the solution is built and tested, I'll help you get it integrated into your existing systems. My goal is for you to be able to use it effectively, so I'll provide documentation and, if needed, some training for your team. I can also offer ongoing support, but the idea is that you'll own this tool when I'm done.
## What it costs, roughly
Okay so, pricing is always the tricky bit, right? I generally work on a fixed-fee basis for defined projects, so you know what you're getting into upfront. For typical engagements, you're usually looking at something in the low five-figure range, though smaller pilot projects can be less and more complex, multi-stage projects can certainly be more. It really depends on the complexity of the data, the specific problem we're solving, and the level of integration required. I'm not the cheapest option out there, but I'm also not the most expensive. My aim is to provide real value without the bloated overhead of a bigger firm. I'll always give you a clear, detailed quote after our initial discovery calls.
## Who I'm usually NOT a fit for
I believe in being upfront, so it's probably good to mention who I'm generally not the right fit for. If you're a massive, publicly traded corporation looking for a multi-million dollar, multi-year strategic AI overhaul across dozens of departments, I'm probably not your guy. I also don't do 'pie-in-the-sky' research projects with no clear business objective. If you don't have *any* data to work with, or your data is so locked down it's practically inaccessible, that's another challenge. My sweet spot is working with established small to mid-sized businesses in Denver who have a specific problem, some decent data, and a clear idea of what they want to achieve. Also, if you're looking for someone to just 'do AI' without any clear problem definition, I'll probably push back a bit, and that's not for everyone.
## Getting in touch
If any of this sounds like what your Denver business needs, or if you just want to kick around some ideas, I'd genuinely like to hear from you. The best way to start is to book a 20-min call with me. We can talk about your situation, no strings attached, and see if there's a good fit. You can find my calendar link right here on the site. Looking forward to chatting with you about your data challenges in Denver, Colorado. Let's make something useful.
FAQs — Denver
How do I know if Machine Learning is worth it for my Denver business?
Usually, if you have a recurring business problem that involves a lot of data, or if you're making decisions based on intuition when you could be using numbers, machine learning might be a good fit. We can explore specific use cases during a quick chat.
Do you work with companies outside Denver?
Yes, absolutely. While I help many local businesses in Colorado, I work with clients remotely across the U.S. My processes are set up for effective virtual collaboration.
What does the first 2 weeks of an engagement look like?
The first two weeks typically involve a lot of listening from my end. We'll have detailed discussions about your business, your data, and your objectives, leading to a clear project proposal and a detailed plan for moving forward.
I don't have a dedicated data science team in Denver. Is that a problem?
Not at all. Many of my clients don't have an in-house data science team. I act as an external resource to build and implement solutions, and I can also provide guidance on how to maintain them.
What kind of data do you usually work with?
I work with all sorts of structured and unstructured data – everything from sales figures and customer databases to text documents, sensor readings, and website analytics. The key is that the data is relevant to the problem you're trying to solve.