AI is everywhere right now, but what feels different is the pace.
For the first time in a long time, small and mid-sized businesses are adopting new technology just as quickly as enterprise organizations. That gap we usually see? It’s essentially gone. Teams of all sizes are experimenting, testing, and trying to figure out where AI fits.
But access isn’t really the problem anymore. Most organizations already have tools like Microsoft Copilot available. The question we hear most is simple: how do we actually do this the right way?
Watch the full session below, or continue reading for a quick breakdown.
What We’re Hearing from Customers
That “how” tends to show up in three stages.
- Getting started: How do we implement AI with the right governance, security, and controls?
- Adoption: Are people actually using it—and are we getting value from it?
- Use cases: What does this look like for our business and industry?
The first part is usually the easiest to solve. The second is where most teams get stuck. And the third is where things start to get interesting.
What We’re Doing at BCS
At BCS, we made a decision early on that we weren’t going to just talk about AI; we were going to use it.
We started by getting our entire team AI certified. Not just developers, everyone. It creates a baseline and forces people to engage with the technology in a more meaningful way.
From there, we rolled out Copilot across the organization and set the expectation that it’s part of how we work. That includes leadership. If it’s not being used at the top, it’s not going to stick.
We’re also using AI inside our own systems, Business Central and Customer Engagement, not as a demo, but as part of how we run the business. And we built a custom AI agent for our website to help handle early-stage conversations.
The goal there wasn’t to be flashy. It was to solve a real problem—too much time spent on basic qualification and early questions. Now, prospects can get quick answers, and our team can spend more time where it actually matters.
Where AI Is Actually Delivering Value
The biggest impact we’re seeing isn’t in massive transformations. It’s in practical, everyday improvements.
- Matching unstructured data between systems in minutes instead of days
- Reading and processing invoices or timesheets automatically
- Generating recommendations for sales teams without manual analysis
Individually, these aren’t huge. But together, they change how work gets done.
Where AI Still Falls Short
AI is powerful, but it’s not perfect.
It struggles with nuance. It struggles with context. And it struggles with anything deeply human.
One of the more surprising gaps we’re seeing isn’t technical—it’s communication. The people who get the most value from AI are the ones who can clearly articulate what they’re trying to do. If that’s not there, the results usually aren’t either.
The Real Shift
AI isn’t replacing teams—but it is changing what good looks like.
The repetitive, lower-value work is going away. What’s left is higher-value thinking: advising, communicating, making decisions.
For us, that means getting back to being true consultants: bringing perspective, not just execution.
And that’s the part that isn’t going anywhere.
If you want to talk about how this could apply to your business, we’re always happy to connect.
