In today's Biz Pulse, gain insight into how:

• Most AI projects fail without a clear business operating system, turning powerful tools into costly chaos instead of profit.

• A scattered collection of AI pilots can be transformed into a unified AI strategy with a focused, middle-out leadership approach.

• A fast-growing AI risk management gap and new insurance exclusions could leave businesses unexpectedly exposed to AI-related losses.

Each of these articles is penned by members of Forbes Business Council, successful business owners shaping the future of business.

Let’s dive in!

Stop Letting AI Set Your Money On Fire

AI is racking up shocking bills and delivering very little because most companies skip the basics. Without a clear operating system for how your business actually runs, AI does not fix chaos. It just accelerates it and makes it more expensive.

Here is how to use AI without joining the 85% failure graveyard:

💡 Clarify Your Operating System: Document how you generate demand, convert revenue, fulfill, and retain. If you cannot sketch it in 10 minutes, you have habits, not systems.

🧭 Prioritize Leverage Over Activity: Focus AI on augmentation that makes your best people far better, not just automation that checks a box.

⏱️ Set 60-Day Kill Thresholds: Define a specific metric per tool, like hours saved or revenue influenced. Cancel anything that does not deliver.

🤖 Build Agents Inside Proven Processes: Start with one documented, working workflow. Let AI handle the repetitive 80% while humans own the judgment-heavy 20%.

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Turn Your AI Pilots Into A Real Strategy

Many leaders think they are “figuring out their AI strategy,” but what they really have is a scattered set of pilots. Activity looks like progress until costs rise, tools overlap, and no one can explain how it all fits together.

Here is how to move from random experiments to a designed AI roadmap:

🏠 See the Renovation Trap: Recognize that disconnected pilots are like renovating rooms without an architect: expensive, inconsistent, and hard to scale.

🧩 Align the Three Conversations: Connect pilots, business-unit leaders, and the C-suite so workflow insights, business pressure, and enterprise goals inform each other.

🧭 Use a Middle-Out Approach: Start with business leaders in the “middle” to define where AI adds unique value and where human judgment is nonnegotiable.

📊 Pressure-Test With Leadership: Bring that draft to the C-suite for finance, HR, and strategy input, then refine it into a shared AI position.

🔄 Re-map Existing Pilots: Evaluate current pilots against the new direction: keep, evolve, or sunset based on strategic fit, not novelty.

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AI Risk Is Rising Faster Than Your Insurance Coverage

Companies spent two years weaving AI into core operations. Insurers spent the same time figuring out how to avoid paying for it. The result is a growing gap between how businesses use AI and what their policies actually cover.

Here is what leaders need to know and do now:

⚠️ Expect New AI Exclusions: Carriers are adding “absolute” and generative AI exclusions across cyber, E&O, D&O and general liability, even for non-tech companies.

🕵️ Find the Hidden AI In Your Stack: Audit internal tools, SaaS platforms and vendor systems to see where AI touches forecasting, customer service, compliance, HR and more.

📜 Treat Insurance as Strategy, Not Procurement: Move beyond annual renewals and price. Map AI-related loss scenarios and test where current policies would likely respond or fail.

🧱 Strengthen AI Governance For Underwriters: Document AI use, vendor oversight, controls and continuity plans to avoid exclusions, sublimits or denials.

🧭 Explore Alternative Risk Structures: For AI exposures that are excluded or hard to insure, evaluate options such as 831(b) arrangements as part of a broader resilience plan.

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Wrapping Up

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