Ep. 070 | Your Software Vendor's AI Problem Just Became Your Problem

Your software vendor's AI problem is no longer just their problem.

Michael and Frank break down why AI risk is shifting from chatbot weirdness into something much more operational. As software vendors race to ship more powerful AI features, small business owners need to think less about demos and more about permissions, oversight, and what happens when automation gets something wrong inside a real workflow.

If your CRM, scheduling tool, customer messaging stack, or bookkeeping platform starts acting with AI, then vendor trust becomes part of business strategy. This episode explains how to evaluate that risk without panicking — and why the smartest businesses will treat AI adoption like a governance decision, not just a productivity upgrade.

Topics: AI vendor risk · software governance · small business operations · AI oversight · automation safety · SaaS strategy

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Frequently Asked Questions

Why should small businesses care about their software vendor’s AI features?
Because many businesses will not build custom AI systems themselves. They will inherit AI through the software they already use, which means vendor decisions about permissions, safety, and deployment can directly affect daily operations.

What is the biggest AI risk for small business owners right now?
The biggest risk is not just inaccurate output. It is AI being embedded into business workflows in ways that can touch customer communication, records, scheduling, pricing, or internal systems without enough oversight or review.

How should a business owner evaluate AI features in their software stack?
Start by asking whether the AI only suggests or can also act. Then look at permissions, audit trails, review steps, data access, and how easy it is to disable or limit the feature if something goes wrong.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.

Transcript

SPEAKER_01 0:20

Most small business owners still think AI risk means the robot gives you a weird answer.

SPEAKER_00 0:25

That is the friendly version of the problem.

SPEAKER_01 0:28

Right. Annoying, maybe embarrassing, maybe it writes something cheesy, but the real issue showing up now is a lot bigger than bad copy.

SPEAKER_00 0:38

The real issue is that your software vendors are plugging more powerful AI into the tools your business already depends on.

SPEAKER_01 0:45

And if they get that wrong, it stops being their abstract lab problem and becomes your operational problem.

SPEAKER_00 0:51

Exactly. That is the connection business owners need to make.

SPEAKER_01 0:56

Because when people hear about the latest frontier model, they think Silicon Valley, they think model benchmarks, billionaire dramas, safety debates, all that.

SPEAKER_00 1:06

But if your payments, scheduling, customer records, estimates, inspections, or internal communication run through software, then frontier AI decisions eventually roll downhill into your workflow.

SPEAKER_01 1:19

That is the whole episode right there.

SPEAKER_00 1:22

We can still do the remaining seven minutes if you want.

SPEAKER_01 1:25

Let's earn our keep. Fair. What I think changed recently is not just that the models are getting smarter. It is that even the companies building them are openly worried about what happens when those systems get more capable inside real environments.

SPEAKER_00 1:43

And once that concern shows up, business owners should stop treating AI as a toy layer on top of software. It is now part of the software risk stack.

SPEAKER_01 1:53

Which is a phrase nobody loves hearing.

SPEAKER_00 1:56

True. But your business already understands software risk. You know what happens when your CRM goes down. You know what happens when your payment processor glitches. You know what happens when an employee sends the wrong customer message.

SPEAKER_01 2:10

So now add one more question. What happens when an AI feature inside that system starts acting on bad information, exposing something sensitive, or making confident mistakes at scale?

SPEAKER_00 2:23

And that is where the vendor conversation changes. The question is no longer just does this software have AI? The question becomes, how safely is that AI deployed, what permissions does it have, and how easy is it to override when it gets something wrong? That is the buying question now.

SPEAKER_01 2:42

It should be. Because I think a lot of owners are still being pitched like this. Look how magical this is, look how fast this is, look how automated this is. And the missing slide is what are the guardrails? Exactly. What can it touch? What can it send? What can it delete? What can it expose? What gets logged? Who reviews it? Can I turn it off?

SPEAKER_00 3:06

Those are much better questions than asking whether the demo felt impressive.

SPEAKER_01 3:10

And here is the business reality. Most small businesses are not going to build custom AI systems from scratch.

SPEAKER_00 3:19

They are going to inherit AI through their vendors. There it is. Through the CRM, through the help desk, through the estimating software, through the scheduling platform, through the accounting layer, through the phone system.

SPEAKER_01 3:34

Which means your AI strategy, whether you admit it or not, is already partly a vendor management problem.

SPEAKER_00 3:41

That is the dot too many people miss. Businesses think they are choosing features. In reality, they are often choosing trust relationships.

SPEAKER_01 3:51

And trust gets expensive when it is misplaced.

SPEAKER_00 3:56

Very.

SPEAKER_01 3:57

Let's hit the practical side. If I'm a business owner listening to this, what do I do Monday?

SPEAKER_00 4:04

First, make a simple list of the software that touches critical business functions: customer communication, money movement, internal record scheduling, document generation. Anything operationally sensitive.

SPEAKER_01 4:17

Not every app, the ones that can actually hurt you.

SPEAKER_00 4:21

Correct. Then ask which of those tools already have AI features turned on, rolling out soon, or bundled into your plan without much discussion?

SPEAKER_01 4:32

Because a lot of this stuff shows up quietly.

SPEAKER_00 4:36

Quietly and by default, which is a very exciting combination. For all the wrong reasons. Then ask the next layer of questions. Does the AI only suggest, or can it act? Does it read private data? Does it create customer-facing output? Is there a review step? Is there an audit trail? Can your team limit permissions by role?

SPEAKER_01 4:58

That is how grown-ups buy software. Ideally, yes. Because I am not anti-AI at all. We use it, we build with it, we talk about it every day. Literally. But there is a difference between liking leverage and blindly trusting automation.

SPEAKER_00 5:17

One creates margin, the other creates cleanup. That's a line. I had help. Of course you did. Speaking of help, let's take a quick second for today's sponsor.

SPEAKER_01 5:29

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SPEAKER_00 5:35

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SPEAKER_01 5:50

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SPEAKER_00 6:07

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SPEAKER_01 6:13

If your team is still spending too much time writing notes after every job, go check out FieldScribe at fieldmatrix.ai slash fieldscribe. That is fieldmatrix.ai slash fieldscribe.

SPEAKER_00 6:26

And now back to the episode.

SPEAKER_01 6:28

Here's what I think a lot of owners need to hear. The companies selling you AI features are under pressure too.

SPEAKER_00 6:36

Competitive pressure, speed pressure, pricing pressure, investor pressure, and in some cases, public expectation that every product now needs an AI story.

SPEAKER_01 6:46

Which means some features are shipping because they are ready.

SPEAKER_00 6:51

And some are shipping because the market demands a checkbox.

SPEAKER_01 6:54

That is exactly why you cannot outsource all your judgment to the vendor.

SPEAKER_00 6:59

You can benefit from the vendor, you cannot borrow their judgment blindly.

SPEAKER_01 7:04

Especially if the tool is touching real customer relationships.

SPEAKER_00 7:08

Or regulated data or pricing or anything that could create legal, financial, or reputational damage when wrong.

SPEAKER_01 7:15

So let me say this plainly: your software vendor's AI problem just became your problem the minute that feature touched your workflow.

SPEAKER_00 7:24

That does not mean panic, it means oversight.

SPEAKER_01 7:28

Yes. This is not anti-technology. This is pro-responsibility.

SPEAKER_00 7:33

Which is a much less exciting conference keynote, but a much better operating model.

SPEAKER_01 7:38

And honestly, the businesses that win here are not going to be the ones who say yes to every AI feature first.

SPEAKER_00 7:46

They will be the ones who know where AI is valuable, where it is risky, and where a human still needs to stay in the loop.

SPEAKER_01 7:53

That is how you get the upside without setting your own shop on fire.

SPEAKER_00 7:57

Strong strategic objective.

SPEAKER_01 8:00

Very underrated.

SPEAKER_00 8:02

There is also a long-term takeaway here. The more AI gets embedded into standard software, the more vendor diligence becomes part of business strategy.

SPEAKER_01 8:12

Not just cost, not just features, not just ease of use.

SPEAKER_00 8:17

But transparency, permission design, reliability, and how quickly the vendor admits mistakes and fixes them.

SPEAKER_01 8:25

Which is why I think this topic matters so much. This is not just about AI getting more powerful, it is about responsibility moving closer to the business owner. And that shift is already here. So the takeaway is simple. Do not just ask whether your software has AI.

SPEAKER_00 8:44

Ask what that AI can do, what it can touch, what happens when it fails, and whether you trust the people shipping it.

SPEAKER_01 8:51

Because if your vendor has an AI problem, sooner or later you do too.

SPEAKER_00 8:56

And the businesses that understand that early will make much better decisions than the ones still shopping demos.

SPEAKER_01 9:02

That is the episode. See you next time.

SPEAKER_00 9:05

See you then.