Everyone’s experimenting with AI. Almost nobody has a plan for it.

Your employees are already using AI. The gap between “using AI” and “using AI well” is where businesses are losing time, producing inconsistent work, and missing the efficiency gains that AI should be delivering.

No strategy, just experimentation

Your team tried setting up AI projects. It didn’t stick. Different people use different tools with different approaches, and the output quality is inconsistent. There’s no company-wide approach to AI, no shared workflows, and no one owning the rollout. Everyone’s experimenting, but nobody’s implementing.

Locked into one ecosystem

Your IT provider told you Copilot is the answer because it’s what they know. But your team doesn’t like it, the results aren’t impressive, and you’re paying per-seat licensing fees for a tool nobody uses well. You haven’t explored Claude, Gemini, or open-source alternatives because nobody on your team has the breadth of knowledge to compare them objectively.

Training that doesn’t stick

You sent your team through an online AI course or watched a webinar series. They learned the theory. Then they went back to their desks and didn’t change anything because nobody showed them how to apply it to their actual job. Generic AI training doesn’t produce results. Role-specific, hands-on training — sitting with your people and building the workflows together — does.

4+

50%

On-Site

Custom

We don’t teach AI theory. We use these tools to run our business every day.

bryan mull professional headshot for digital mully

“Every AI tool we recommend to clients is a tool we use ourselves.”

Bryan Mull
Founder, Digital Mully

Every AI tool we recommend to clients is a tool we use ourselves. Claude runs our content production and strategic analysis. Gemini powers the custom tools we’ve built for client operations. ChatGPT handles specific automation workflows. We’ve tested all of them in production, not in a lab. That’s the difference between us and someone teaching from a certification course.

I’ve built custom GPTs that generate fully optimized product descriptions from a single image. I’ve developed content workflows that cut writing time in half. I’ve created tone and voice guides that keep AI output on brand across entire teams. I’ve set up article generation systems for government clients. I’ve trained development teams on using AI to write better proposals and win more business.

What I don’t see anyone else doing in our area is what we do: show up at your office, sit down with your team, learn their actual work, and build the AI tools and training around what they need. Not a seminar. Not a slide deck. Hands-on implementation that your people start using the same day we train them. That’s how AI adoption actually works — you have to make it about their job, not about the technology.

Frequently asked

Questions businesses ask before starting an AI transformation engagement. If you’re not sure where you fit, start with a conversation — we’ll give you an honest assessment of where AI can actually make a difference for your business.


My team is already using AI. Why do we need help?

Using AI and using it well are two different things. Most teams are on free personal accounts, writing prompts from scratch every time, and getting inconsistent results. There’s no shared approach, no custom tools, and no governance around quality or brand voice.

We come in and turn scattered experimentation into a structured implementation: the right platforms, proper account setup, role-specific training, and custom tools that produce consistent, high-quality output. The difference between “playing with AI” and “running your business on AI” is what we build.


Do we have to use Microsoft Copilot?

No, and that’s one of our biggest differentiators. Most IT providers push Copilot because they’re already in the Microsoft ecosystem and it’s the easiest recommendation for them to support. But Copilot isn’t the best tool for every team or every use case.

We’re platform agnostic: Claude for deep analysis and content. Gemini for Google Workspace integration and custom Gems. ChatGPT for automation and custom GPTs. Microsoft 365 for teams already embedded in that ecosystem. We evaluate your needs and recommend the platform — or combination of platforms — that actually fits. Sometimes the answer is Copilot. Often it’s not.


What does on-site training look like?

We come to your location and work directly with your team, typically over a series of half-day or full-day sessions depending on team size and scope. Each session is tailored to the roles in the room. Your sales team gets different training than your content team or your operations staff.

We bring laptops, set up accounts in real time, build workflows together, and make sure everyone walks out with tools they know how to use. For larger engagements, we can embed on-site for up to a month, working alongside your team daily until the implementation is fully adopted.


How is this different from an AI course or certification?

AI courses teach you how AI works in general. We show you how it works for your business specifically. A course gives you theory and generic examples. We sit at your desk, look at your actual workflow, and build the tools and training around what you do every day.

The difference shows up in adoption: teams that take a course go back to their desks and change nothing. Teams we train start using the tools the same day because we built them around the work they already do.


How long does a typical engagement take?

An AI readiness assessment takes one to two meetings. Platform setup and basic team training can be completed in a focused week. Custom GPT and workflow development typically takes two to four weeks depending on complexity.

A full organizational AI implementation with on-site training, custom tools, governance setup, and ongoing support is a multi-month engagement. Most businesses start with the assessment and build from there based on what we find.


Is this just for large companies?

No. We work with individual business owners who want 1-on-1 AI coaching all the way up to companies with 200+ employees who need a full organizational rollout. Some of our most impactful work has been with smaller businesses where a single custom AI tool transforms a core process.

A three-person company that saves 10 hours a week through automation gets the same proportional benefit as a 100-person company. The engagement size scales to fit, but the approach is the same: understand the business, train the people, build the tools.


How does AI transformation connect to your other services?

AI transformation connects directly to everything else we do. AI visibility audits assess how AI models perceive your brand online — a different service but a related conversation. The custom tools we build often support our SEO, content, and paid search work.

For e-commerce clients, AI-powered product descriptions and customer service automation tie directly into their store operations. For development teams, AI tools become part of the service offering they deliver to their own clients. Think of AI transformation as the efficiency layer that makes every other service perform better.