Podcast

Are Micro Verticals the Key to AI Profitability?

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March 21, 2025

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Overview

Challenges

Enterprise tech leaders must prove AI ROI beyond generic platforms while avoiding fragmented point solutions, rising complexity, and buyer skepticism. They also need services, governance, and talent models that scale outcomes without over-customization, operational sprawl, or stalled adoption.

Summary

The podcast discusses how enterprise tech companies are evolving their business models to adapt to the AI era. It emphasizes the significance of understanding micro verticals to serve specific industry needs effectively. The conversation highlights the challenges and opportunities present in transitioning from traditional technology services to innovative customer-centric solutions, all driven by AI and focused on tangible business outcomes.

Key takeaways

Emphasis on Micro Verticals:

Understanding the unique needs within specific industries enhances service delivery and positions companies for better profitability.

Retooling for the AI Era:

Companies must invest significantly to transition their technology and services to meet the demands of AI solutions and customer satisfaction.

Shifting Customer Expectations:

Buyers now prioritize outcomes over technology features, expecting vendors to deliver specific value and efficiency.

Importance of Best Practices:

Organizations are encouraged to adopt standardized processes rather than customize solutions to maintain efficiency and facilitate innovation.

Service as a Strategic Capability:

The role of services is evolving to become crucial for unlocking business value, with a focus on continuous optimization rather than just maintenance.

Publication date:
January 23, 2026

Podcast speakers

Thomas Lah

Executive Director and Executive VP, TSIA

Mari Cross

Chief Customer Officer, Infor

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