Artificial Intelligence

Getting Started with Industrial AI: Choosing a Strategy That Fits Your Readiness

Artificial Intelligence

Getting Started with Industrial AI: Choosing a Strategy That Fits Your Readiness

Two Paths to Industrial AI Success: Which One Fits Your Organization?‍

Ayna’s previous two articles – “The Promise of AI in Industrials – Rethinking ROI” and “Harnessing AI ROI in Industrials” – explored how AI in industrials has moved past the hype cycle. 

AI now delivers measurable value and must be treated like a capital asset. That shift has prompted a new question from many leaders: “So how should we actually start?” It’s a fair question. The biggest mistake companies now make isn’t picking the wrong algorithm or tool. 

It’s picking a strategy they aren’t ready to execute.‍ Some industrials jump immediately into enterprise-wide AI programs — central hubs, clean-sheet architectures, multi-year roadmaps — and stall out after a few pilots. Others stay stuck in pilot mode, turning high-ROI use cases into isolated experiments.

Both outcomes destroy momentum. The reason? AI strategy must fit the organization’s current level of maturity. In this article, we discuss two distinct paths for industrial AI adoption - opportunistic and holistic - and offer an approach for determining which strategy fits your organization as you look to get started on your AI journey.‍

In this episode

About our guest

Hosted By

Parthesh Shastri

Chief Technology Officer & Head of Digital

Parthesh Shastri

Chief Technology Officer & Head of Digital

Artificial Intelligence

Getting Started with Industrial AI: Choosing a Strategy That Fits Your Readiness

Artificial Intelligence

Getting Started with Industrial AI: Choosing a Strategy That Fits Your Readiness

Parthesh Shastri

Chief Technology Officer & Head of Digital

Parthesh Shastri

Chief Technology Officer & Head of Digital

Download the report

Two Paths to Industrial AI Success: Which One Fits Your Organization?‍

Ayna’s previous two articles – “The Promise of AI in Industrials – Rethinking ROI” and “Harnessing AI ROI in Industrials” – explored how AI in industrials has moved past the hype cycle. 

AI now delivers measurable value and must be treated like a capital asset. That shift has prompted a new question from many leaders: “So how should we actually start?” It’s a fair question. The biggest mistake companies now make isn’t picking the wrong algorithm or tool. 

It’s picking a strategy they aren’t ready to execute.‍ Some industrials jump immediately into enterprise-wide AI programs — central hubs, clean-sheet architectures, multi-year roadmaps — and stall out after a few pilots. Others stay stuck in pilot mode, turning high-ROI use cases into isolated experiments.

Both outcomes destroy momentum. The reason? AI strategy must fit the organization’s current level of maturity. In this article, we discuss two distinct paths for industrial AI adoption - opportunistic and holistic - and offer an approach for determining which strategy fits your organization as you look to get started on your AI journey.‍

Download the report

About The Authors

Explore a career with us

“We started with a very simple demo of a voice agent . . . and once we put it in front of customers, werealized there were things we hadn’t even considered — like payment collections or supplier coordination.”

Pablo Palafox, Co-founder and CEO of HappyRobot

“Who wants to call a customer and tell them the bad news that they haven’t paid? An AI can do that very efficiently . . . and in that specific case we saw 100x ROI.”

Pablo Palafox, Co-founder and CEO of HappyRobot

“Start simple. The longer you take to make the decision, the more of a disadvantaged position you are in.”

Pablo Palafox, Co-founder and CEO of HappyRobot

Artificial Intelligence

Getting Started with Industrial AI: Choosing a Strategy That Fits Your Readiness

Two Paths to Industrial AI Success: Which One Fits Your Organization?‍

Ayna’s previous two articles – “The Promise of AI in Industrials – Rethinking ROI” and “Harnessing AI ROI in Industrials” – explored how AI in industrials has moved past the hype cycle. 

AI now delivers measurable value and must be treated like a capital asset. That shift has prompted a new question from many leaders: “So how should we actually start?” It’s a fair question. The biggest mistake companies now make isn’t picking the wrong algorithm or tool. 

It’s picking a strategy they aren’t ready to execute.‍ Some industrials jump immediately into enterprise-wide AI programs — central hubs, clean-sheet architectures, multi-year roadmaps — and stall out after a few pilots. Others stay stuck in pilot mode, turning high-ROI use cases into isolated experiments.

Both outcomes destroy momentum. The reason? AI strategy must fit the organization’s current level of maturity. In this article, we discuss two distinct paths for industrial AI adoption - opportunistic and holistic - and offer an approach for determining which strategy fits your organization as you look to get started on your AI journey.‍

Hosted By

Parthesh Shastri

Chief Technology Officer & Head of Digital

Parthesh Shastri

Chief Technology Officer & Head of Digital

Artificial Intelligence

Getting Started with Industrial AI: Choosing a Strategy That Fits Your Readiness

Parthesh Shastri

Chief Technology Officer & Head of Digital

Parthesh Shastri

Chief Technology Officer & Head of Digital

Two Paths to Industrial AI Success: Which One Fits Your Organization?‍

Ayna’s previous two articles – “The Promise of AI in Industrials – Rethinking ROI” and “Harnessing AI ROI in Industrials” – explored how AI in industrials has moved past the hype cycle. 

AI now delivers measurable value and must be treated like a capital asset. That shift has prompted a new question from many leaders: “So how should we actually start?” It’s a fair question. The biggest mistake companies now make isn’t picking the wrong algorithm or tool. 

It’s picking a strategy they aren’t ready to execute.‍ Some industrials jump immediately into enterprise-wide AI programs — central hubs, clean-sheet architectures, multi-year roadmaps — and stall out after a few pilots. Others stay stuck in pilot mode, turning high-ROI use cases into isolated experiments.

Both outcomes destroy momentum. The reason? AI strategy must fit the organization’s current level of maturity. In this article, we discuss two distinct paths for industrial AI adoption - opportunistic and holistic - and offer an approach for determining which strategy fits your organization as you look to get started on your AI journey.‍

About The Authors

Explore a career with us

The views, information, and opinions presented in this content are solely those of the individuals involved and do not necessarily represent those of Ayna.AI or its affiliates. This content should not be considered financial or investment advice. Ayna.AI does not verify for accuracy any of the information contained in this podcast.

The views, information, and opinions presented in this content are solely those of the individuals involved and do not necessarily represent those of Ayna.AI or its affiliates. This content should not be considered financial or investment advice. Ayna.AI does not verify for accuracy any of the information contained in this podcast.