Overview

Challenges

Companies are at a point where they understand the importance of transforming their business to incorporate AI, many are unsure of which steps to take first. This publication identifies three key barriers—service delivery complexity, pricing model paralysis, and outcome measurement difficulties—that are hindering effective adoption, and provides examples of organizations that have been able to successfully break through.

Summary

The article discusses the critical challenges faced by companies in effectively implementing AI capabilities within their business models. It highlights a gap between the potential of AI and its actual usage, pinpointing three major barriers: service delivery complexity, pricing model paralysis, and defining/ measuring outcomes. The insights suggest that overcoming these barriers requires strategic and integrated approaches, focusing on the relationships between service capabilities, outcome measurements, and pricing structures.

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Included in the full report

Service Delivery Complexity:

Companies need to leverage AI to refine existing service workflows and develop new service categories for enhanced offerings.

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Pricing Model Paralysis:

Many firms resist evolving pricing structures, despite the industry's shift towards value-based models; gradual transitions are necessary.

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Defining and Measuring Outcomes:

Organizations struggle to establish clear, measurable customer outcomes, which complicates the shift to outcome-based pricing.

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Strategic AI Implementation:

Successful companies adopt methodical, incremental strategies, targeting specific services for AI enhancement to drive measurable results.

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Interconnected Barriers:

Addressing the three barriers collectively—service capabilities, outcome measurement, and pricing strategies—is vital for effective AI adoption.

Read the full report on the TSIA Portal

Publication date:

October 17, 2025

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