Cutting Through the Noise: How Audrey Kerchner Is Helping Businesses Beat AI Paralysis

Audrey Kerchner is on a mission to bring clarity to the overwhelming world of AI. After seeing business owners flooded with hype but lacking practical direction, she created The AI Business Brief to deliver concise, actionable insights grounded in real-world implementation. By filtering tools through her “Acid Test” of stability, utility, and ROI, Audrey helps leaders focus less on chasing trends and more on making smart, sustainable decisions that actually move their business forward.

Audrey, your work tackles “AI paralysis” head-on — what were you seeing in the market that made you realize business owners needed a clearer, more practical signal?
I kept hearing the same sentence in discovery calls: “I’m overwhelmed and I don’t know what actually matters for my bottom line.”

Business owners aren’t lacking AI content. They are drowning in it. LinkedIn, YouTube and TikTok are full of “this changes everything” posts, vendors are releasing features daily, and most coverage is written for either developers or hype cycles. None of it answers the only question that matters to a CEO: do I act on this, and how?

The result is paralysis. Smart leaders sitting on their hands because they couldn’t tell the difference between a tool that would reshape their operations and a feature that would be deprecated in six months. The Brief exists to make that distinction for them every two weeks, in under 90 seconds.

The AI Business Brief is written by implementers rather than journalists. How does that perspective change the type of insights and advice you deliver?
Both perspectives matter, and honestly, I rely on good journalism to surface what’s happening. I read the press releases, the launch coverage, the analyst takes. That’s the raw material.

What changes is the filter on top. When I see a model release or platform update, I’m running it through three years of hands-on builds — what worked, what broke, what clients actually adopted versus what they tried once and abandoned. That pattern recognition is hard to get from the outside. It’s the difference between knowing a tool exists and knowing whether it will hold up in a real workflow six months from now.

It also means I pay attention to the quieter updates. A pricing shift, a new API endpoint, a small integration change — those can reshape what’s possible for a business more than the headline launches everyone is posting about. The Brief reflects what an integrator notices after living inside these tools day after day, on top of the reporting that’s already out there.

You use an “Acid Test” for evaluating AI tools. Can you walk us through how that framework helps businesses avoid costly mistakes?
Three filters: Stability, Utility, ROI.

Stability asks whether the company behind a tool will still exist in 18 months. The AI space is full of well-funded startups that will not survive their next funding round. Recommending those tools to a mid-sized business is unprofessional.

Utility asks whether the tool does something new or just repackages something already working. Most “AI-powered” features fall into the second category. If your team already has a workflow that gets the job done, swapping in an AI version often adds cost and training overhead without changing the outcome.

ROI asks the unglamorous question: does this save time, reduce cost, or remove a point of human friction? If the honest answer is no, the tool doesn’t make the Brief, no matter how impressive the demo looks.

The Acid Test protects business owners from the “rip and replace” pressure. The goal is to find the specific tool that strengthens what they already have.

Your audience ranges from enterprise leaders to small business owners. How do you ensure the Brief remains relevant and actionable across such different scales?
I write to a single question both audiences are asking: what do I do with this?

For an enterprise CTO, the Brief functions as a research shortcut. They have teams who can implement; they need a curated signal so they don’t waste those teams’ hours chasing every release. One subscriber recently used our coverage of Claude Code and IDE integrations to finalize their agentic coding framework. Days of research compressed into one read.

For a small business owner, the Brief functions as a translator. They don’t need to evaluate every new LLM release. They need to know which two updates this month change what’s possible for a business their size, and what the first step looks like.

Both groups get the same content because the underlying principle is the same: surface what matters, skip what doesn’t, explain why.

As AI continues to evolve rapidly, what do you believe businesses must focus on to stay competitive without getting overwhelmed?
Three things.

First, accept that you will not keep up with every release, and that’s fine. The leaders winning with AI right now are the ones who picked two or three tools, integrated them deeply, and ignored the rest.

Second, build the human layer alongside the technology. AI works best on top of clear processes, defined roles, and documented decisions. Companies that bolt AI onto chaos end up with chaos running faster.

Third, stay close to one trusted signal. A newsletter, a peer group, an advisor — pick a source that filters for you and trust it. The cost of consuming everything is far higher than the cost of missing the occasional update.

The companies that will compound an AI advantage over the next three years are the ones who stopped trying to track everything and started executing on a few things well.

Link:

• AI Business Brief
• INKYMA