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Why Ai Projects Fail

Hao Dinh

Created on March 26, 2026

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Transcript

Why Ai Projects Fail

Learn exactly how AI breaks ... so yours never does.

What is this course about?

This module introduces the BOLTED patterns, the most common reasons AI projects fail, based on industry research and 15 years of real world experience. You retain 10% of what you read. You retain 80% of what you do. That's why this is an exercise, not a lecture, make real decisions, see real consequences, and watch how small misalignments snowball into failure.

BOLTED Overview

Real World Use Case Experience

The Situation: A mid-sized manufacturer is constantly receiving customer emails for quotes and updates. These revenue-driving requests are handled through manual, disconnected workflows, creating a slow, inconsistent process that relies heavily on individual effort.

Employee Painpoints

Understand employee feedback on the email-to-quote process.

Executives
Sales
Managers

Artificial Intelligence Can Fix It!

The email-to-quote process is a strong AI opportunity, it’s high-volume, repetitive work directly tied to revenue, with clear time savings and real employee pain points. AI can streamline it by sorting emails, extracting key details, and assisting with responses and quote creation. But this is where most organizations go wrong. They jump straight to building AI, adding complexity instead of solving the problem, because they focus on the technology, not how the system actually works.

AI Solution: Deploy or Not?

AI Deployed and Failed....

Deconstructing AI Failure: A Root Cause Analysis

Bolt On

Ownership Missing

Limited Value Case

Learning strategy based on small content units that are consumed quickly. Ideal for reinforcing concepts or learning in a flexible way.

Describe the process and pace at which a person acquires a new skill. The clearer and more accessible the information, the faster the progression.

It involves applying game dynamics (challenges, rewards, levels) in learning environments to increase user motivation and engagement.

Trust Reactive

Engagement Gaps

Data Reality

Level of emotional and mental involvement of the user with the content. High engagement improves information retention and overall course experience.

Didactic technique that proposes solving real or simulated situations to foster critical thinking and practical application of knowledge.

It is the feedback the user receives right after an activity. It helps correct errors quickly and improves understanding.

AI Deployment Stopped...Why?

CTA

Link to more learnings

Digital learning is not just a trend: it is a way to access knowledge that adapts to our lives and rhythms. In this first topic, we will explore how education has evolved with technology and what opportunities it offers for those seeking to grow personally or professionally. Additionally, we will see why autonomy and motivation are essential in virtual environments, and how to structure your learning to make the most of every available resource.

Managers spend their time tracking quotes, chasing delays, and escalating urgent issues using emails, conversations, and manual tracking. They often lack clear visibility into operations and feel the process depends too heavily on a few key individuals.

Sales teams face constant interruptions and mental overload as they switch between systems, repeat the same work, and try not to miss critical requests. Despite staying busy all day, they feel like they are not making progress. This leads to stress, fatigue, and a reactive way of working instead of focused, productive work.

Executives see the symptoms, such as slow quotes, missed opportunities, and inconsistent customer experience, but not the underlying causes. They question why performance is lagging, yet the actual process remains largely invisible.