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Why mid-market leaders should view AI as a practical path to stability, not a high-risk bet

Artificial intelligence (AI) sounds like a promising tool, but for many mid-market leaders, it also sounds like a moonshot — too costly, too complex, too unproven.

Yet in times of uncertainty, when margin pressure, labor shortages and supply chain volatility are the norm, businesses can’t afford to ignore AI. Done right, it’s not a risky bet — it’s one of the most practical and powerful tools available to stabilize operations, reduce waste and unlock margin.

At Wipfli, we hear it all the time: “AI just isn’t in our budget.” “We’re not ready for something that big.” “It’s a cool idea, but where’s the ROI?”

Here’s the truth: AI isn’t a moonshot. It’s a margin play — and it’s more accessible than most realize.

The myth of the big bang AI project

Most companies imagine AI as a massive digital transformation initiative — requiring enterprisewide data lakes, custom algorithms and entire new teams. In reality, you can begin with a focused prototype, targeting a high-friction process, for less than the cost of a single FTE.

We call this the rapid path to business value — a phased, intentional approach designed to prove ROI early and scale based on what works.

Instead of aiming for a moonshot, Wipfli helps clients start where they are. Whether you’re trying to eliminate redundant work, automate reporting or get faster access to operational data, AI can help — without blowing up your budget.

For example, a midsized distributor used a consumer-grade AI tool to summarize product reviews and flag common complaints. Implementation cost: $8,500. Estimated labor savings: $30K+ annually. Moonshot? Not even close. That’s a margin play.

Your digital strategy is your AI strategy

The real risk with AI isn’t the technology — it’s using it without purpose. That’s why we lead with digital strategy.

At Wipfli, our industry-aligned digital strategists help clients align AI to what matters most: Reducing operational friction, improving customer experiences and navigating uncertainty with clarity.

We don’t just ask, “What AI tool do you want?” We ask, “What business outcome are you solving for?”

This approach grounds AI in what already drives your business forward. Instead of investing in theoretical capabilities, you’re solving for:

• Manual tasks draining productivity.
• Delayed decisions due to data silos.
• Rising costs in customer support or compliance.
• Growing skill gaps and workforce fatigue.

By focusing on outcomes, not hype, AI becomes a tool for financial and operational stability.

AI readiness is a margin discipline

Many firms hesitate to engage AI because they assume they’re “not ready.” But readiness isn’t a binary state — it’s a process.

An AI readiness analysis helps businesses assess their foundation across five pillars: strategy, data, technology, culture and risk. The result? A fast, low-investment roadmap that outlines:

• Where to start (low-lift, high-value use cases).
• What’s required (tools, partners, governance).
• How to scale (consumer-grade, departmental, enterprise or adaptive).
• What it will cost (typical range: <$5K to $40K+).

After the analysis is the time to start working through prototyping, MVP development and deployment with clear stage gates — so you only proceed when value is proven and your team is ready.

Managing risk: AI without the black box

AI absolutely involves risk — operational, reputational and even regulatory. But ignoring it because of risk doesn’t make your business safer. It just makes it slower.

You can manage those risks through:

• AI risk assessments.
• Governance frameworks for data and model use.
• Responsible AI policies tailored to your industry.
• Training for both users and developers.

And because our digital teams work alongside business consultants and industry specialists, we don’t push AI in isolation. We embed it where it belongs — inside the context of your real operations and constraints.

Why AI matters in uncertain times

When volatility hits, the firms that survive — and grow — are the ones that can adapt. AI enables that adaptability.

It helps you:

• Do more with less: Automate repetitive tasks so your teams focus on strategic work.
• Make faster, better decisions: Use predictive insights to guide pricing, inventory or staffing.
• Reduce friction: Identify and resolve inefficiencies before they erode your margin.
• Scale responsibly: Expand capabilities without overhiring or overspending.

If you’re short-staffed, facing tightening margins or trying to move faster than your systems allow — you’re not alone. But you are in a position to act. And AI, when implemented intentionally, can give you the lift you need.

When done with the right analysis at the beginning, we often see the first meaningful gains from AI within six to 12 weeks — not years.

Avoiding the real moonshot: Doing nothing

In the face of complexity, many leaders freeze. But standing still is often the biggest risk of all. Labor costs are rising. Data is growing. Customers are expecting more. Competitors are experimenting — and learning.

You don’t have to bet the farm. But doing nothing leaves margin, insight and opportunity on the table.

Getting started: AI with Wipfli

Whether you’re exploring consumer-grade tools, evaluating enterprise-level platforms or just trying to make sense of the landscape, we’ll meet you where you are.

We help mid-market firms:

• Assess readiness.
• Identify and prioritize use cases.
• Prototype solutions.
• Estimate cost and ROI.
• Deploy AI with confidence.

Our goal is simple: Bring clarity to the complex and help you turn uncertainty into opportunity.

Let’s talk AI — and how it can help you stabilize your business.

Or visit our uncertainty resource hub for mid-market leaders to dig into how to build agility in uncertain times.