top of page
  • Writer's pictureBlu Artificial Intelligence

Preparing Corporations for AI Transformation

Updated: Nov 18, 2020

Download our report on how executives can prepare their firms for successful AI adoption:

Preparing Corporations for AI Adoption_B
Download • 2.66MB

Executive Summary

Many companies fail to scale up their AI pilot projects. Many AI initiatives have their budgets cut because they do not deliver results quickly enough.

The problem is not technology or talent. The culprits are often corporate culture and practices designed for a pre-AI age. To deploy AI at scale, executives must build a culture where business and technical teams can collaborate seamlessly.

The need to deploy AI at scale is increasingly relevant given the Coronavirus pandemic. COVID-19 has revealed the need and urgency to innovate business models. We expect that years of innovation will be squeezed into months. Companies that expect AI to be part of their innovation drive must ensure that they are able to deploy at scale.

Our 10-part AI transformation framework is designed to help CEOs and their executive teams implement AI at scale and achieve sustained competitive advantages. Our framework is not a sequential list. Different firms will be proficient in different areas.

Instead, this executive guide lays out the necessary conditions for a culture that promotes successful AI implementation. Executives can use this framework to diagnose their company’s AI readiness in each area.

The AI Transformation Framework

The Gartner CIO survey in 2019 claimed that 37% of 3,000 surveyed companies have already deployed AI. How can the remaining 63% fast-track implementation so that they do not fall too far behind?

Technology and talent are not enough. Firms must break down cultural barriers and rethink organizational structures to deploy AI across departments and geographies.

Executives can, however, use our 10-part framework to guide them on their AI transformation journey:

  1. Aim to deploy AI at scale

  2. Build AI awareness across the firm

  3. Commit to an AI transformation vision

  4. Embrace a data-driven culture

  5. Plan a portfolio of AI projects

  6. Allocate AI talent and assign responsibilities

  7. Build an in-house AI team and partner with AI vendors

  8. Connect business & technical teams

  9. Integrate data silos

  10. Invest in adoption and change management

Read the full report:

Preparing Corporations for AI Adoption_B
Download • 2.66MB

Contact us at to discuss how your company can identify & implement high-value AI solutions. Feel free to contact our authors directly as well.

The Authors

Fabrice Fischer


Kevin Pereira

Managing Director

Rajendra Shroff


198 views0 comments


Commenting has been turned off.
bottom of page