Everyone wants to talk about armies of AI agents automating entire workflows end-to-end.
We spent this quarter doing the opposite.
And honestly? It’s working better.
Or at least we think it is. Ask us again next quarter because, if there’s one thing we’ve learned about AI, it’s that the minute you think you’ve figured it out, everything changes.
At Fine Point Consulting, we’re not trying to automate our way into some futuristic, hands-off accounting model. We’re focused on something much more practical: helping our team get comfortable treating AI as a thought partner. A smart tool that helps people work better, think broader, and spend more time on the work that matters.
Because here’s the truth: the technology isn’t the hard part. Adoption is.
Here’s the honest part nobody really talks about. Getting a team comfortable with AI is the actual work.
The tools themselves? They’re impressive. But introducing them into real workflows, helping people build confidence, figuring out where they fit, and overcoming hesitation, that’s where things get messy.
And if we’re being transparent, this is still something we’re actively working through.
As a Client Accounting Services (CAS) firm, adoption and change management are challenges we’ll likely always wrestle with. We’re no exception.
We’re constantly asking ourselves:
These aren’t settled questions. They’re live conversations.
We learned a lot this quarter. We learned a lot the quarter before that. And next quarter? Well… part of me jokes about taking the whole thing off and checking back in October. (Kidding. Mostly.)
But in reality, this pace of change means these conversations aren’t going anywhere anytime soon.
If you’ve ever tried working with AI tools, you probably know the feeling.
You ask a question and think:
“Why doesn’t it just know this?”
Or maybe you get something back and immediately think:
“I never would’ve done it that way.”
That friction is real. And it’s exactly where hesitation starts to creep in.
For a lot of people, that’s the moment they quietly decide the effort isn’t worth it. So instead of asking everyone to jump in headfirst, we’re focused on making the first step easier.
Our goal right now is simple: build baseline knowledge into the tools themselves.
In other words, take the standards we already agree on as a firm and bake them into how AI supports our work.
At Fine Point, we have standards:
When those expectations are built into the tool from the start, newer users don’t have to fight through trial and error to get good outcomes. The standard comes along for the ride.
That lowers frustration. And lowering frustration matters if adoption is the goal.
The flashy benefits of AI get all the headlines: Speed. Automation. Productivity.
Those are great. But the quieter wins? Those are the ones we’re learning to get most excited about.
A good thought partner catches the thing you might’ve missed at 6:00 p.m. on close day. It helps reduce room for human error. And while clients may never see that moment happen, they absolutely feel the difference in the quality of the deliverable.
We’re also seeing something else happen: people are thinking bigger.
When “I don’t know how to build that” stops being the barrier, teams become more willing to experiment. You start reaching for solutions you may not have considered before. You get more creative. Not because the work suddenly became easy, but because trying something new feels less intimidating.
That whole idea of moving from doing to thinking? This is where it starts to show up in real work.
In fact, we recently built and deployed an organization-wide “process improvement scout” to encourage exactly this kind of thinking.
The idea is simple: team members can point it toward work they’re already doing, and the AI surfaces small, practical opportunities where it could help improve the process.
Define “help”? I thought you’d never ask! See the snippet below that comes from the instructions of our Scout Skill that outlines the expectations ahead of the discovery work.
The goal is to work smarter, not just to work less. A good suggestion makes the work better along at least one of these:
One thing we’ve learned quickly is that language matters. Early messaging around AI left an impression.
“This will do the work for you.”
Unfortunately, that often lands less like time back and more like:
“More work is coming.”
Or worse:
“Fewer people are needed.”
That quiet fear can stall adoption faster than any technical hurdle. So, we’re intentionally reframing the conversation.
“AI isn’t the thing coming to take the work. It’s the really smart tool you keep in your back pocket.”
Not a replacement. A resource.
There’s a lot of noise right now encouraging companies to automate everything end-to-end. Build the agent army. Run everything hands-off.
Maybe someday. But for most businesses, that’s an intimidating leap—and intimidating leaps rarely happen.
Our approach is intentionally smaller, pick the one thing you quietly dread every month. The schedule that never behaves. The painful expense allocation. The repetitive reporting task that somehow eats half your afternoon.
Start there. Make ONE thing better.
Because small, repeatable wins build confidence. And confidence makes the next step possible.
Most of us are pretty good in Excel. But let’s be honest, there’s also a lot many of us never learned how to do.
Myself included.
What’s been interesting for me personally is that I didn’t go sit through a six-week advanced Excel course. I’ve been learning in the middle of real work. Because the thought partner is there the moment I get stuck. It teaches me the move while helping me finish the actual thing I’m trying to accomplish. And that’s the part I keep coming back to. This isn’t skill replacement, it’s skill expansion.
The person gets better. They don’t become optional. Old dogs really can learn new tricks.
If all of this feels overwhelming, here’s the advice I’d give:
“Don’t start with the dream of full automation. Start with the task you quietly dread every month. The spreadsheet that never cooperates. The process that takes longer than it should. The thing you know could be better, but haven’t had the time to rethink. That’s where AI can start to make a difference—not by replacing the work, but by helping you do it better. And maybe teaching you something along the way.”
At Fine Point, we’re actively working through what smarter, more scalable work looks like for growing businesses every day. If you’re thinking about how AI, process improvements, or stronger financial visibility could support your business, let’s talk about what’s next.
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