Overview

Challenges

This framework was designed to help guide enterprise software and hardware companies in assessing their progress toward integrating AI into business workflows in order to drive efficiency, innovation, and customer value. It identifies four types of AI-driven workflows and three distinct competitive profiles that technology providers are migrating toward to secure a competitive edge.

Summary

The AI-Enabled Technology Provider framework outlines a roadmap for technology companies aiming to transition from traditional workflows to AI-driven processes. It emphasizes the importance of assessing AI readiness, optimizing data quality, and strategically integrating AI into business operations. As organizations navigate this journey, they will encounter challenges but can leverage specific strategies to achieve effective transformation.

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Included in the full report

Four Types of Workflow Execution:

The framework categorizes workflows into four types, from manual efforts with software to fully autonomous processes driven by AI.

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Three AI Adoption Profiles:

Companies typically fall into one of three profiles—AI Light, AI Augmented, or AI Automated—based on their ability to integrate AI into workflows.

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Data as a Foundation:

Successful AI initiatives rely on a robust data infrastructure, necessitating companies to address data collection, integration, and quality.

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Focus on High-Impact Use Cases:

Identifying and piloting use cases where AI adds significant value is crucial to ensure effective implementations and gaining executive support.

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Workforce Change Management:

Training employees for new AI tools and addressing workforce concerns is essential for fostering acceptance and optimizing AI's benefits.

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Publication date:

March 19, 2025

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