Written by: Michael Wallace
Most leaders I speak with aren’t afraid of AI — they’re afraid of making the wrong move while everyone else pretends they already have a plan.
The Quiet Fear Nobody Is Admitting
Over the past few months, I’ve had more quiet conversations than public ones, founders, executives, and o closed doors: “AI is clearly changing everything… but what does it actually mean for my business right now?
” Not in theory. Not in headlines. In real decisions about revenue, teams, financial visibility, and long-term positioning.
Some are worried about their teams. Some are worried about their financial future. Some are wondering if the skills that built their careers will still matter a year from now.
And almost everyone feels pressure to do something, without being entirely sure what that something should be.
Here’s what I’ve learned after years of working with entrepreneurs and building businesses myself:
Fear doesn’t come from technology. It comes from uncertainty.
We’ve seen technological shifts before, the internet, social media, automation, cloud computing.
Each time, there were people who resisted, people who rushed in blindly, and a smaller group who paused long enough to understand how the change actually affected their story, their customers, their operations, and their decision-making.
AI is different for one reason:
It doesn’t just change how we work. It changes how we think, how we decide, and how businesses operate at their core.
Doing nothing is no longer neutral.
We’ve seen technological shifts before, the internet, social media, automation, cloud computing.
Each time, there were people who resisted, people who rushed in blindly, and a smaller group who paused long enough to understand how the change actually affected their story, their customers, their operations, and their decision-making.
AI is different for one reason:
It doesn’t just change how we work. It changes how we think, how we decide, and how businesses operate at their core.
But chasing every new tool isn’t a strategy either.
Why I Don’t Start with Technology
When I work with clients today, I don’t begin with AI tools.
I begin with story.
The story of the founder. The business model. The hidden friction points. The operational habits nobody questions anymore.
Because before you adopt AI, you have to understand where it will impact your business:
- financially
- creatively
- operationally
- strategically
Only then can you decide what to build, what to change, and what to leave alone.
And increasingly, I’m seeing founders who aren’t asking whether AI will affect their business, they’re asking how to integrate it in a way that gives them clarity, control, and better decision-making.
Some are even building entirely new companies around solving the problems they experienced firsthand.
One of those founders is someone I’ve recently been working with, and their story says a lot about where business is headed next.
In those conversations, the smartest leaders I know aren’t asking, “What AI tool should I use?”
They’re asking much harder questions: “What happens to my business model if this technology reshapes my industry?”
“Where am I vulnerable?” “Where could I actually gain an advantage?”
Those conversations are rarely about software, they’re about clarity, positioning, and the future direction of the business itself.
The Real Problem — AI Anxiety Isn’t About Technology
The real anxiety leaders feel isn’t about AI itself.
It’s about making the wrong strategic move.
There are new AI products launching daily. Every vendor promises transformation. Every article says you’re already behind.
The result?
Analysis paralysis.
The biggest mistake I see is leaders starting with technology instead of starting with their business reality.
Instead, I encourage clients to reverse engineer solutions from their story:
- Where is AI already impacting your workflow?
- Which systems are slowing decisions down?
- Where are you losing revenue without realizing it?
- What risks exist around data and external tools?
- What would clearer visibility change for you tomorrow?
Large enterprises may have teams to answer these questions.
Most founders and mid-sized companies don’t.
The Business Creative Evaluation Process
When I begin working with a company, we don’t start with dashboards.
We start with how the business actually functions.
Revenue
We analyze how revenue is generated, not just numbers, but conversations with sales teams and leadership. Data shows us patterns. Stories show us friction.
Founders are often surprised by what we uncover simply because “business as usual” becomes invisible over time.
Operations
Workflow mapping frequently reveals redundant steps, manual reporting, or inefficient handoffs that consume hours every week.
AI can help, but only after we understand what’s actually broken.
Decision-Making
Information used to be scarce. Today, the problem is the opposite, too much information, too late.
With the right structure, AI can help leaders make faster, more targeted decisions. But clarity about the decision itself must come first.
Risk
The most overlooked conversation is data security and control.
Before adopting any system, leaders need to understand:
- where their data lives
- who can access it
- how vendors handle privacy and permissions
This becomes especially important when financial systems are involved.
Which is exactly why I’ve been paying close attention to founders building AI solutions specifically around financial clarity and decision-making.
The Nume Story — When Founders Build the Solution They Needed
One founder I’ve been working with, Alexander Wulff, didn’t start by trying to build an AI company.
He started by trying to survive as a founder.
His first business, a deep-tech materials company, ran for over a decade before a successful exit. During that time, like most founders, he became his own CFO by necessity.
Despite studying finance, he found financial management overwhelming. And every founder he met had the same experience, managing critical decisions through massive spreadsheets that were manual, delayed, and error prone.
The reality is stark:
Most small and mid-sized companies don’t have a CFO. They can’t afford one. Even if they could, they don’t have enough work to justify hiring one full-time.
Which means the CEO becomes the CFO, whether they’re prepared or not.
That insight led to the launch of Scaleup Finance, a tech-enabled CFO service combining real financial professionals with software tools.
But when generative AI emerged, the team realized incremental software improvements weren’t enough. They scrapped their existing product direction entirely and rebuilt around an AI-first approach.
That shift led to Nume, an AI CFO platform designed to give founders proactive financial insight rather than reactive reporting.
What stood out to me wasn’t the technology, it was the founder’s lived experience behind it.
It was the founder story:
- frustration with delayed financial clarity
- decision-making stress
- the need for earlier signals, not just historical data
- and a strong focus on responsible data handling and controlled access
They kept the product in private beta for a year to focus on accuracy and trust, which says a lot about how serious financial AI needs to be.
For founders today, that story reflects a larger trend:
AI isn’t just replacing tasks. It’s redefining roles that once seemed untouchable.
The Business Creative AI Evaluation Checklist
Before adopting any AI solution, I encourage leaders to step back and ask different questions — not about tools, but about impact:
- Where are decisions being made with incomplete information?
- Which processes feel busy but not productive?
- Where is revenue being lost without anyone noticing?
- What financial or operational data do you wish you understood faster?
- What risks are introduced when adopting AI, and how will your data be protected?
Most leaders discover that the opportunity isn’t everywhere, it’s in two or three strategic leverage points.
If This Resonates
If you’re leading a company through uncertainty right now, the question probably isn’t whether AI will impact your business, it’s where to start without creating more confusion or risk.
That’s where my work begins.
I partner with founders, executives, and creative leaders to evaluate how AI intersects with their revenue, operations, decision-making, and long-term positioning, starting with story, not software.
If you’re currently:
- trying to understand how AI affects your existing business model
- overwhelmed by vendors and conflicting advice
- concerned about data security, workflow disruption, or strategic direction
- exploring new opportunities but unsure where real leverage exists
We can start with a focused strategic evaluation conversation.
The goal isn’t to implement AI faster, it’s to make smarter decisions about where it actually belongs in your business.
You can reach me at - [email protected]
This is not a tool demo or generic AI overview. It’s a structured conversation designed to identify where clarity and opportunity exist inside your specific business.
Transparency Note -
The LinkedIn version of this article is sponsored by Nume. The perspectives and analysis shared here reflect my independent consulting experience and professional viewpoint.
Learn more about Nume here: https://bit.ly/402zlXH
Related: How Strong Financial Advisors Build Trust Through Structure, Not Personality