Stop trying to keep up with the AI Joneses.

2026-07-13 · Source: Artificial Intelligence on Medium · Field: Business & Management — Corporate Strategy & Leadership, Project & Product Management, Operations & Process Management · Depth: Fundamental Awareness, quick

Summary

Many executives outside the tech sector feel pressured to integrate AI, often leading to failed initiatives and inefficiencies due to a "keep up with the Joneses" mentality. To counter this, the article proposes a five-step "workback plan" for successful AI adoption. This plan begins by identifying a single, verifiable business problem with quantifiable negative impacts, such as logistics bottlenecks or procurement waste. Next, it requires defining measurable success metrics in terms of dollars, time, or units. The third step is to articulate precisely why AI is the best solution, providing concrete examples like AI advising kitchen staff on expiring ingredients. Fourth, assign a timeline and an owner with deep domain knowledge, not a technology expert. Finally, the plan advises a build vs. buy decision, recommending against in-house development for non-tech businesses unless regulatory or risk-based reasons compel it, and warning against using public LLMs like ChatGPT or Claude for sensitive company IP.

Key takeaway

For executives feeling pressure to adopt AI, resist the urge to indiscriminately deploy LLMs. Instead, implement a structured "workback plan" by first identifying a single, quantifiable business problem. Define clear, measurable success metrics and assign a domain-expert owner, not a tech specialist, to ensure focus on outcomes. Critically, evaluate build vs. buy options and never expose your company's intellectual property to public general-purpose AI tools. This approach ensures meaningful, repeatable success.

Key insights

Successful AI adoption requires a problem-first, measurable, and strategically planned "workback" approach, avoiding tech-driven fads.

Principles

• Focus on verifiable business problems.
• Measure AI success objectively.
• Assign domain-expert initiative owners.

Method

The "workback plan" involves identifying a specific business problem, defining measurable success, articulating AI's unique value, assigning a domain-expert owner, and making a build vs. buy decision.

In practice

• Identify specific business bottlenecks.
• Advise staff on inventory optimization.
• Avoid public LLMs for company IP.

Topics

• AI Adoption Strategy
• Workback Planning
• Business Problem Solving
• Build vs. Buy Decisions
• Large Language Models
• Data Privacy

Best for: Executive, Director of AI/ML, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence on Medium.