Why does 95% of companies using AI fail?

[Conclusion] Why does 95% of companies using AI... fail? - AI Transformation

.

Many organizations want to "have AI," but forget that AI is an ecosystem, not a single tool.

As a result, the AI project became a pretty new toy that launched, but didn't actually work.

.

⚠️ Let's see. "# Cause failure"Drilled in and connected to the UX / UI world why it happens so often.

.

🎤 Admin would like to take this point and share it and expand it:) Uxui.studio

.

✅ 1) Too hurry - Hurry until forget to ask... what is the solution?

.

Many organizations have been hit by the FOMO-AI stream.

Want to do it first, afraid of not catching up but never defining the problem clearly

.

Like starting a UX / UI without Problem Statement

Finally, AI is created to solve "problems that do not exist."

.

* * * If not starting from the team's pain point with the user, the chance of failure is almost 100% * * *

.

✅ 2) is a tool, but there is no goal, but "no servant."

.

This is the most common problem in all circles.

.

AI is pretty released, good interface, complete features, but no one wants to use it.

.

Because they do not enter workflow, do not answer tasks, are not designed "for that human being," no one knows when to use them.

.

Like doing a good MVP production, but never doing user onboarding.

.

* * * Finally, AI becomes more of a "decoration" than a "working tool" * * *

.

✅ 3) is not put in the actual Work flow.

.

Many teams think that "I'll finish it and people will use it."

But forget that Workflow in organizations = the habits of working people.

.

If AI is placed as a giveaway that is out of step, it will never be used in a sustainable way, such as if Brief is a Word, passed on line, but AI is on another platform...

.

* * * The team will go back to the way it was, because it's "more stable and familiar." * * *

.

✅ 4) The data entered to Ai to work is not enough.

.

AI is not magic, it is only as good as the information it receives, which we want AI to help us with everything.

But it gives very little or not real information.

.

As a result, AI only works at 40-60% of expected quality.

.

It is not because AI is not good, but because "there are no raw materials to learn."

.

* * * If the information is not enough, no matter how much you choose the god model, you will not survive * * *

.

⭐ Key - AI Transformation

.

AI fails because people are not designed as a center.

Which is actually the heart of all UX.

.

If you want AI to succeed,

It must start by understanding "users or people on the team" rather than AI capabilities.

.

🙏 Thank you to AXONS and Speakers for hosting the great UXUI DAY event. Share your experience with the UXUI:)

.

🙏 AI Transformation - Integrating Al to UX / UI Team

Speakers: Chanitha Boontarak

.

👉 You can find the UXUI course here. https://m.me/uxuistudio9

.

📥 for organizations or companies interested in training seminars on-site / online or Consult Project.

You can contact it by IB: https://m.me/uxuistudio9.

.

# AXONS # UXUIday

# uxuistudio # uxdesign# uidesign # graphicdesign # uxui # uxuiworkshop # uxworkshop # uiworkshop # Figma

# Because we understand what newbies want